Original Article
Exploring the Impact of Lung Cancer Screening on Lung Cancer Mortality of Smokers With Obstructive Lung Disease: Analysis of the NLST-ACRIN Cohort
Análisis del impacto del cribado de cáncer de pulmón en la mortalidad por cáncer de pulmón de los fumadores con enfermedad pulmonar obstructiva: un análisis de la cohorte NLST-ACRIN
Juan P. de-Torresa,b,
, Juan P. Wisniveskyc, Gorka Bastarrikac,d, David O. Wilsone, Bartolome R. Cellif,1, Javier J. Zuluetaa,1
Corresponding author
a Pulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain
b Navarra Health Research Institute (IDISNA), Pamplona, Spain
c Divisions of General Internal Medicine and Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
d Radiology Department, Clínica Universidad de Navarra, Spain
e Department of Medicine, University of Pittsburgh Medical Center, USA
f Pulmonary Department, Brigham and Women Hospital, Boston, MA, USA
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Wisnivesky, Gorka Bastarrika, David O. Wilson, Bartolome R. Celli, Javier J. Zulueta" "autores" => array:6 [ 0 => array:4 [ "nombre" => "Juan P." "apellidos" => "de-Torres" "email" => array:1 [ 0 => "jupa65@hotmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Juan P." 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"apellidos" => "Zulueta" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] ] "afiliaciones" => array:6 [ 0 => array:3 [ "entidad" => "Pulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Navarra Health Research Institute (IDISNA), Pamplona, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Divisions of General Internal Medicine and Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Radiology Department, Clínica Universidad de Navarra, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Department of Medicine, University of Pittsburgh Medical Center, USA" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Pulmonary Department, Brigham and Women Hospital, Boston, MA, USA" "etiqueta" => "f" "identificador" => "aff0030" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Análisis del impacto del cribado de cáncer de pulmón en la mortalidad por cáncer de pulmón de los fumadores con enfermedad pulmonar obstructiva: un análisis de la cohorte NLST-ACRIN" ] ] "resumenGrafico" => array:2 [ "original" => 1 "multimedia" => array:5 [ "identificador" => "fig0020" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "fx1.jpeg" "Alto" => 454 "Ancho" => 1333 "Tamanyo" => 55976 ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The National Lung Screening Trial (NLST)<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> and the NEderlands Leuvens Longkanker Screenings ONderzoek (NELSON),<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">2</span></a> demonstrated that screening for lung cancer with a low dose chest Computed Tomography (LDCT) significantly decreases lung cancer (LC) mortality. Several studies have also demonstrated that smokers with spirometrically defined Obstructive Lung Disease (OLD), a FEV<span class="elsevierStyleInf">1</span>/FVC ratio<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.70, have a 2–3 times higher risk of developing LC than those without OLD.<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">3–5</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Previous studies suggest that performing LC screening in this high-risk population could decrease the proportion of over diagnosis, cause a positive stage shift<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> and may potentially decrease LC mortality.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">6</span></a> To our knowledge, no study has yet explored this hypothesis.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The American College of Radiology Image Network (ACRIN) branch of the NLST study, included 18,831 participants from 23 centers, had a baseline spirometry performed<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> and underwent 3 rounds of screening after randomly being assigned to either LDCTs or chest roentgenogram, with subsequent follow-up for 6 years. We therefore studied this cohort to explore the hypothesis that screening patients with OLD with LDCT results in a reduction in mortality from lung cancer as compared to screening with chest X-ray.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Methods</span><p id="par0020" class="elsevierStylePara elsevierViewall">Original data collection for ACRIN 6654 (NLST) was supported by NCI Cancer Imaging Program grants. The methodology of this study has been previously described.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> In the ACRIN cohort of the NLST, participants from 23 centers agreed to take part in the study, which included baseline prebronchodilator spirometry. The study was approved by the local Institutional Review Board (IRB) at each screening center. There was no specific criterion in the selection of centers or patients. Unfortunately only pre-bronchodilator spirometry measurements were performed without pletismography or diffusing capacity. A pre-bronchodilator spirometry was done at baseline screening.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">7</span></a> Age, gender, smoking history, body mass index (BMI) and spirometry values were registered: Forced Expiratory Volume in the 1st second (FEV<span class="elsevierStyleInf">1</span>), Forced Vital Capacity (FVC) and FEV<span class="elsevierStyleInf">1</span>/FVC.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">6</span></a> OLD is defined by an FEV<span class="elsevierStyleInf">1</span>/FVC ratio<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.70 as per the Global Initiative for Chronic Obstructive Lung Disease (GOLD) definition.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">8</span></a> All LDCTs were interpreted by trained radiologists.</p><p id="par0025" class="elsevierStylePara elsevierViewall">All participants completed a questionnaire regarding their vital status semiannually. Name and Social Security numbers of those lost to follow-up were submitted to the National Death Index to ascertain probable vital status. As previously described,<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> death certificates were obtained for participants who were known to have died. An end-point verification team determined whether the cause of death was lung cancer. Although a distinction was made between a death caused by lung cancer and a death that resulted from the diagnostic evaluation for or treatment of lung cancer, the deaths from the latter causes were counted as lung-cancer deaths in the primary end-point analysis.</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0030" class="elsevierStylePara elsevierViewall">Continuous data with a normal distribution were expressed using mean and standard deviation (SD). Categorical data were described using counts and relative frequencies. Differences between groups were explored with the Student t test or the Chi square test, accordingly.</p><p id="par0035" class="elsevierStylePara elsevierViewall">Overall survival over follow-up time was calculated using Kaplan–Meier method, either for full follow-up or after one year of follow-up with landmark analysis,<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">9</span></a> removing all patients with death by lung cancer before the end of the first year or with total follow-up time smaller than 365 days. Univariable and multivariable Cox regression models were used to assess the unadjusted and adjusted effects of the study arm on survival. The selection of the variables included in the multivariate analysis was based on our previous works that showed that these factors were independently related with lung cancer diagnosis and mortality in COPD patients.<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">10,11</span></a></p><p id="par0040" class="elsevierStylePara elsevierViewall">Significance was established at a two-tailed <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05. All statistical analyses were done with SPSS version 20.0 Inc. (IBM, Chicago, IL, USA) and Stata v12.1 (StataCorp. 2011. Stata Statistical Software: Release 12. College Station, TX: StataCorp LP).</p></span></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0045" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows the flowchart of the NLST-ACRIN participants included in the present study. Four thousand five hundred and eighty-four participants with OLD were finally included in the analysis: 2248 underwent screening with a LDCT and 2336 with a chest X-ray. During the follow-up time (6 years), 65 participants (2.9%) died of LC in the LDCT arm and 87 (3.7%) died in the chest X-ray arm. The characteristics of participants who died from LC and who survived until the end of follow-up are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Participants that died from LC were older, had smoked more pack-years, and had more severe spirometric GOLD stages.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows the Kaplan Meier LC survival curves for each interventional arm (LDCT vs chest X-ray), and <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the multivariable Cox regression analysis for LC survival comparing both arms and adjusting for other important LC risk factors such as age, gender, BMI, pack years’ history and spirometric GOLD stages. Although a trend for a positive effect of screening with LDCT on LC mortality can be seen in the Cox analysis (a decrease of 25%), it did not reach statistical significance. A complementary analysis to explore the statistical power to determine the impact of LDCT screening on LC mortality in the present sample was performed. This analysis indicated that in order to detect a 25% decrease in LC mortality, we would have needed at least 400 LC deaths to have a 80% statistical power, suggesting that the present study is underpowered (only 152 observed events) to demonstrate that effect.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">The behavior of the cumulative mortality curves shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> establishes two clear patterns: during the 1st year of follow-up, both arms seem to have similar curves. However, during the subsequent years of follow-up after the 2nd round of screening, a potentially beneficial effect of LDCT over chest X-ray on LC mortality is observed. <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the number of LC deaths that occurred during the first year of follow-up and the stage of the cancer at the time of diagnosis. The distribution and number of lung cancers in individuals who died was similar in both arms (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.95).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">To explore whether LC screening with LDCT in patients with OLD is effective once prevalent cancers detected in the first round of screening are excluded, we analyzed the effect on mortality starting from the second round of screening. There were fewer LC deaths in the LDCT arm as compared to the chest X-ray arm (48 vs 75, respectively, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03) (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows the oncologic stage at the time of diagnosis of patients diagnosed with LC after the first year who were alive at the end of follow-up. A significantly higher proportion of patients were in stage I in the LDCT arm than in the chest X-ray arm (73 vs 52, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a> shows the multivariable Cox regression analysis of LC survival for the landmark analysis after the first year of follow-up. This analysis shows a significant benefit of performing a LDCT vs chest X-ray with a 37% reduction in LC deaths after 5 years of follow-up. The number of participants needed to screen in order to avoid one LC death in this high-risk population was 108 individuals, which compares to 218 in the cohort of participants without spirometrically defined OLD (see Appendix).</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0070" class="elsevierStylePara elsevierViewall">The main finding of this study is that screening patients with OLD for lung cancer using LDCT results in a significant reduction in lung cancer mortality as compared to screening with chest x-ray. The reduction in mortality is significant after excluding subjects with LC diagnosed during the baseline round of screening. Furthermore, the number of screenings needed to be done to save one death from LC (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>108) is much lower than in those without OLD (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>218).</p><p id="par0075" class="elsevierStylePara elsevierViewall">The NLST<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> showed that lung cancer screening using LDCT for as few as 3 rounds of screening reduces LC-mortality by at least 20%. Previous studies have also shown that, in comparison to smokers without OLD, those with OLD (defined by an FEV<span class="elsevierStyleInf">1</span>/FVC<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.70), have a 2–3 fold increased the risk of having lung cancer.<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">3–5</span></a> Although no study has yet addressed the effect of LC screening on mortality of individuals with OLD, a review of the NLST did reveal that they benefit from a positive LC stage shift and are less likely to be over diagnosed (i.e. lower prevalence of adenocarcinoma in situ).<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">The present retrospective analysis of the prospectively recruited NLST-ACRIN database demonstrated that screening spirometrically confirmed OLD smokers for LC using LDCT, showed a trend to reduce lung cancer mortality in these individuals. Our initial analysis found that although the hazard ratio showed a 25% decrease in mortality (HR 0.75 95%CI: 0.55–1.04, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.09) the difference did not reach statistical significance (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.09) probably because of the sample size (mainly number of LC deaths needed to demonstrate a statistical difference). However, a closer look at the LC survival curves from the Kaplan–Meier analysis shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> provided a better perspective of the survival profile of each interventional arm.</p><p id="par0085" class="elsevierStylePara elsevierViewall">During the first year after the baseline screening, subjects in both arms had a similar LC mortality (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.95), a behavior that is similar to that reported in the original published NLST work (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> panel B),<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">1</span></a> where it can be seen that during the first year of follow-up, the number of LC deaths in each arm was identical in the entire screening population.</p><p id="par0090" class="elsevierStylePara elsevierViewall">The novelty in the current work comes from the landmark analysis of LC survival in subjects with OLD after the first year of follow-up or in other words after the 2nd and 3rd rounds of screening. This analysis indicated that compared to subjects with OLD who underwent screening with chest x-ray, LDCT screening resulted in a 37% reduction in mortality 5 years after the 2nd round of screening. This is a reflection of the proportion of early stage LCs diagnosed in each arm (73% in LDCT vs 52% in chest X-ray) who were candidates for “curative” resection therapy.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">12</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">These findings confirm and expand on previous studies. A recent analysis of the ACRIN cohort of the NLST revealed that the presence of spirometrically detected OLD increases the risk of LC and that screening for LC with LDCT results in a stage shift toward early stages without associated over diagnosis.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">3</span></a> Our analysis using the same cohort shows that screening with LDCT could also significantly decrease LC mortality in OLD patients, although this reduction only occurs in subjects diagnosed with lung cancer at the 2nd round of screening and beyond. What effect on mortality may accrue if annual screening were to be continued after the 3rd round can only be speculated on, but it is likely greater.</p><p id="par0100" class="elsevierStylePara elsevierViewall">Previous studies have suggested a positive effect of LDCT screening on lung cancer mortality in subjects with OLD. De Torres et al.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">6</span></a> retrospectively compared 333 matched individuals (same age, gender, BMI, pack years’ history and smoking status) with mild to moderate COPD (GOLD spirometric stages 1 and 2) from two different cohorts: one, in which a baseline chest X-ray ruled out prevalent LC and was then followed with usual care (i.e., no screening), and another in which subjects underwent yearly LDTC screening. During the 31 months of follow up, 12 LC deaths occurred in the control group and 1 in the LDTC screening group (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). In the other large randomized, prospective study on LC screening, the NELSON screening trial,<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">13</span></a> spirometry was performed in 1108 participants with only 437 having OLD, a much smaller dataset which will likely be underpowered to determine if LDCT can decrease LC mortality in those subjects.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Importantly, the present work showed that 108 individuals with OLD had to be screened to avoid one LC death, a much lower number than in the 218 individuals without OLD. This information could have important implications because it reinforces the message that patients with OLD are an excellent target for LC screening programs.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Unfortunately, no information is available on how many of the smokers with spirometrically diagnosed OLD included in this study, actually have “clinical” Chronic Obstructive Pulmonary Disease (COPD), i.e.: with symptoms in addition to an FEV<span class="elsevierStyleInf">1</span>/FVC<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.70. We do know from previous analysis<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">14</span></a> of the same cohort that 87% of these individuals with OLD did not have a previous diagnosis of COPD, asthma, bronchiectasis, chronic bronchitis, or emphysema. We also know that 80% of them in the previous study and 76% in the present were in GOLD spirometric stages 1 and 2. This is important since LC is one of the most important causes of death in patients with COPD in stages GOLD 1 and 2.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">15,16</span></a> Furthermore, having mild to moderate respiratory dysfunction usually allows for a pulmonary resection in the setting of early stage LC.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">12</span></a> If these results are reproduced in a clinical setting, the potential impact on patient's outcomes could be important. A specific study in this population is urgently needed.</p><p id="par0115" class="elsevierStylePara elsevierViewall">There are several limitations in the present work. Firstly, the number of events (LC deaths) in the sample analyzed including all rounds of screening was underpowered to demonstrate a statistical significance. The trend was important (25% decrease in LC mortality, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.09) giving support to the complementary landmark analysis performed. Secondly, the fact that only a landmark analysis after the first year of follow up reached statistical significance, implies that only those that already had a LDCT or a chest X-ray at baseline and then underwent LC screening are the ones who were found to benefit. In daily clinical practice, this is not really a limitation, since most patients with OLD have either a LDCT or a chest X-ray for the evaluation of the disease and therefore could be included in screening programs like the present one. Finally, only pre-bronchodilator spirometry was performed and considering that the literature suggests this overestimates the diagnosis of airway obstruction by 20–25%,<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">17</span></a> this could greatly impact on the correct diagnosis of OLD. However, the fact is that the presence of pre-bronchodilation OLD was associated with a trend of reduced lung cancer mortality in those who underwent screening.</p><p id="par0120" class="elsevierStylePara elsevierViewall">In summary, this retrospective analysis of the prospectively recruited NLST-ACRIN database demonstrated that screening spirometrically confirmed OLD smokers for LC using LDCT, resulted in a trend to reduce lung cancer mortality. A study with a larger number of patients that includes COPD as a paramenter to take into account a priori, would be needed to confirm these findings.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Authors disclosure</span><p id="par0125" class="elsevierStylePara elsevierViewall">The authors have reported the following: None declared (JPDT, JJZ, JPW, GB, DW and BRC).</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conflict of interest</span><p id="par0130" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres1459566" "titulo" => "Graphical abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0005" ] ] ] 1 => array:3 [ "identificador" => "xres1459565" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusions" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec1330215" "titulo" => "Keywords" ] 3 => array:3 [ "identificador" => "xres1459567" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0035" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0040" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0045" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0050" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0055" "titulo" => "Conclusiones" ] ] ] 4 => array:2 [ "identificador" => "xpalclavsec1330216" "titulo" => "Palabras clave" ] 5 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 6 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Statistical analysis" ] ] ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Results" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Discussion" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Authors disclosure" ] 10 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflict of interest" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-01-07" "fechaAceptado" => "2020-03-23" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1330215" "palabras" => array:3 [ 0 => "Obstructive" 1 => "Lung disease" 2 => "Lung cancer screening" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1330216" "palabras" => array:3 [ 0 => "Obstructiva" 1 => "Enfermedad pulmonar" 2 => "Cribado de cáncer de pulmón" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Lung Cancer (LC) screening with low dose chest computed tomography (LDCT) in smokers reduces LC mortality. Patients with Obstructive Lung Disease (OLD) are at high risk for LC. The potential effect of LC screening in this population is unknown.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To determine if screening with LDCT reduces LC mortality in smokers with spirometrically defined OLD.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The National Lung Screening Trial-American College of Radiology Imaging Network (NLST-ACRIN) study included 13,831 subjects (55–74 years of age with ≥30 pack-year history of smoking) that had a baseline spirometry. Randomly assigned to LDCT or Chest X-ray, all had 3 annual rounds of screening. LC mortality was compared between the LDCT and chest X-ray arms during the 1st year and at 6 years of follow up. Landmark analysis explored LC mortality differences between arms after the first year.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">From the 4584 subjects with OLD (FEV1/FVC <0.7), 152 (3.3%) died from LC. Multivariable analysis showed that screening trended to decrease LC mortality at 6 years (HR, 95%CI: 0.75, 0.55–1.04, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.09). During the 1st year no differences were found between arms (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.65). However, after this year, LDCT significantly decreased LC mortality (HR, 95%CI: 0.63, 0.44–0.91, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01). The number needed to screen to avoid one LC death in these subjects was 108 while in those without OLD was 218.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">LC screening with LDCT in smokers with spirometrically diagnosed OLD, showed a trend to reduce lung cancer mortality but a study with a larger number of patients and with a more robust design would be needed to confirm these findings.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El cribado de cáncer de pulmón (CP) utilizando la tomografía computarizada de baja dosis (LDCT, por sus siglas en inglés) de tórax en fumadores reduce la mortalidad por CP. Los pacientes con enfermedad pulmonar obstructiva (EPO) tienen un riesgo alto de presentar CP. Se desconoce el posible efecto del cribado de CP en esta población.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Determinar si el cribado con LDCT reduce la mortalidad por CP en los fumadores con EPO diagnosticada mediante espirometría.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El estudio de cribado de pulmón National Lung Screening Trial-American College of Radiology Imaging Network (NLST-ACRIN) incluyó a 13.831 sujetos (de entre 55-74 años de edad, con historia de tabaquismo de ≥30 paquetes-años) a los que se les había realizado una espirometría basal. Se los asignó aleatoriamente a LDCT o radiografía de tórax y todos pasaron por 3 rondas anuales de cribado. La mortalidad por CP se comparó entre los brazos del LDCT y radiografía de tórax durante el primer año y a los 6 años de seguimiento. El análisis de supervivencia con punto temporal de referencia <span class="elsevierStyleItalic">(landmark analysis)</span> estudió las diferencias en la mortalidad por CP entre los brazos después del primer año.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">De los 4.584 sujetos con EPO (FEV1/FVC < 0,7), 152 (3,3%) murieron por CP. El análisis multivariante mostró que el cribado tendía a disminuir la mortalidad por CP a los 6 años (HR: 0,75, IC del 95%; 0,55-1,04, p = 0,09). Durante el primer año no se encontraron diferencias entre los brazos (p = 0,65). Sin embargo, después del año, la LDCT disminuyó significativamente la mortalidad por CP (HR: 0,63, IC del 95%: 0,44-0,91, p = 0,01). El número necesario de cribados para evitar una muerte por CP en estos sujetos fue 108, mientras que en aquellos sin EPO fue 218.</p></span> <span id="abst0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Conclusiones</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">El cribado de CP con LDCT en fumadores con EPO diagnosticada mediante espirometría mostró una tendencia a reducir la mortalidad por cáncer de pulmón, pero sería necesario un estudio con un mayor número de pacientes y con un diseño más robusto para confirmar estos hallazgos.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0035" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0040" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0045" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0050" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0055" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Both authors are senior authors.</p>" "identificador" => "fn0005" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0145" class="elsevierStylePara elsevierViewall">The following are the supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0050" ] ] ] ] "multimedia" => array:10 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1507 "Ancho" => 2500 "Tamanyo" => 209416 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Flowchart of the NLST-ACRIN participants included in the study.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1509 "Ancho" => 2167 "Tamanyo" => 133349 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Lung Cancer Kaplan–Meier survival estimates curves for each interventional arm (LDCT vs chest X-ray).</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1545 "Ancho" => 2173 "Tamanyo" => 128889 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Lung Cancer Kaplan–Meier survival estimates curves for each interventional arm (LDCT vs chest X-ray) for the landmark analysis after the first year of follow up.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviations or <span class="elsevierStyleItalic">n</span> (%).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">All (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4584) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Lung cancer death (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>152) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Alive (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4432) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age (years)</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.7 (5.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64.7 (5.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.6 (5.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">BMI (kg/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.7 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.3 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.7 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Pack-years</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60.0 (25.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68.3 (28.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">59.1 (25.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">FVC (L)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.45 (1.14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.27 (1.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.45 (1.14) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">FVC (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.9 (28.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79.0 (24.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.0 (28.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">(L)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.07 (0.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.93 (0.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.07 (0.78) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">(%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64.0 (25.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61.7 (23.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64.1 (25.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">/FVC</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.59 (0.10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.58 (0.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.59 (0.10) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Male</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2748 (59.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2640 (59.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">104 (65%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Gold</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1194 (25.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (21.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1157 (26.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2328 (50.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72 (45%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2251 (50.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">732 (15.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42 (26.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">689 (15.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">371 (8.0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (7.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">359 (8.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2511153.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Statistically significant between groups.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Participant's characteristics.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Standard error \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">95%CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CT vs chest X-ray \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.55–1.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.09 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (for each year older) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.03–1.09 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender (male vs female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.86 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.61–1.22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.42 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pack-years (for each pack year) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00–1.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI (for each kg/m<span class="elsevierStyleSup">2</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.97 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.94–1.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.17 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gold spirometric stages3+4 vs. 1+2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.09–2.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2511155.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Multivariable Cox regression analysis of LC survival.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LDCT \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Chest X-ray \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LC stages I, <span class="elsevierStyleItalic">n, (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LC stages >I, <span class="elsevierStyleItalic">n, (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.95 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2511152.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Oncologic stage at the time of diagnosis of those LC that died during the 1st year.</p>" ] ] 6 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">LDCT \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Chest X-ray \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LC stages I, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LC stages >I, <span class="elsevierStyleItalic">n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 (27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 (48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2511154.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Oncologic stage at the time of diagnosis of patients diagnosed with LC after the first year that are alive at the end of follow-up.</p>" ] ] 7 => array:8 [ "identificador" => "tbl0025" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at5" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Standard error \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">95%CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CT vs chest X-ray \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.63 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.44–0.91 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (for each year older) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.03–1.10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender (male vs female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.51–1.22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.11 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pack-years (for each pack year) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00–1.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI (for each kg/m<span class="elsevierStyleSup">2</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.98 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.94–1.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.30 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gold spirometric stages3+4 vs. 1+2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.13–2.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2511156.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Multivariable Cox regression analysis of LC survival for landmark analysis after 1st year.</p>" ] ] 8 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.pdf" "ficheroTamanyo" => 124288 ] ] 9 => array:5 [ "identificador" => "fig0020" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "fx1.jpeg" "Alto" => 454 "Ancho" => 1333 "Tamanyo" => 55976 ] ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:17 [ 0 => array:3 [ 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 October | 64 | 18 | 82 |
| 2024 September | 104 | 26 | 130 |
| 2024 August | 121 | 36 | 157 |
| 2024 July | 72 | 20 | 92 |
| 2024 June | 102 | 30 | 132 |
| 2024 May | 101 | 26 | 127 |
| 2024 April | 73 | 32 | 105 |
| 2024 March | 70 | 13 | 83 |
| 2024 February | 68 | 31 | 99 |
| 2024 January | 51 | 25 | 76 |
| 2023 December | 54 | 26 | 80 |
| 2023 November | 70 | 31 | 101 |
| 2023 October | 67 | 31 | 98 |
| 2023 September | 66 | 31 | 97 |
| 2023 August | 69 | 38 | 107 |
| 2023 July | 60 | 21 | 81 |
| 2023 June | 53 | 29 | 82 |
| 2023 May | 89 | 29 | 118 |
| 2023 April | 59 | 31 | 90 |
| 2023 March | 101 | 42 | 143 |
| 2023 February | 121 | 25 | 146 |
| 2023 January | 73 | 25 | 98 |
| 2022 December | 114 | 34 | 148 |
| 2022 November | 141 | 42 | 183 |
| 2022 October | 90 | 49 | 139 |
| 2022 September | 72 | 34 | 106 |
| 2022 August | 76 | 48 | 124 |
| 2022 July | 63 | 59 | 122 |
| 2022 June | 101 | 60 | 161 |
| 2022 May | 89 | 34 | 123 |
| 2022 April | 143 | 47 | 190 |
| 2022 March | 153 | 58 | 211 |
| 2022 February | 69 | 31 | 100 |
| 2022 January | 1 | 2 | 3 |
| 2021 December | 1 | 2 | 3 |
| 2021 November | 2 | 2 | 4 |
| 2021 July | 2 | 2 | 4 |
| 2021 June | 0 | 2 | 2 |
| 2021 May | 4 | 0 | 4 |
| 2021 April | 2 | 4 | 6 |
| 2021 March | 3 | 2 | 5 |
| 2021 February | 9 | 4 | 13 |
| 2021 January | 28 | 10 | 38 |
| 2020 November | 3 | 2 | 5 |
| 2020 October | 11 | 0 | 11 |
| 2020 July | 2 | 2 | 4 |
| 2020 May | 6 | 6 | 12 |
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