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Presencia de fibrina en alveolos (H&E, ×200). Paciente 5: B) Neumonía organizada con seudo-pólipo de tejido conectivo en el centro, y la presencia de macrófagos pigmentados en los alveolos adyacentes, correspondientes a hemosiderófagos. Ausencia de reactividad en los neumocitos (H&E, ×100). Paciente 9: C) Presencia de microorganismos con morfología de <span class="elsevierStyleItalic">Pneumocystis jirovecii</span> (tinción de plata metenamina, ×100). Paciente 12: D) Presencia de membranas hialinas en las luces alveolares (H&E, ×100). 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"etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Departamento de Neumología, Hospital General Universitario Los Arcos del Mar Menor, Pozo Aledo-San Javier, Murcia, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Departamento de Ciencias Sociosanitarias, Universidad de Murcia, Murcia, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Departamento de Neumología, Hospital Universitario Virgen de la Arrixaca, El Palmar, Murcia, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Universidad de Murcia, Ciencias de la Salud (Medicina), Murcia, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Medicina Respiratoria Pediátrica, Hospital General Universitario Santa Lucia, Cartagena, Murcia, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Valores de corte de FEV1/FVC para el diagnóstico de obstrucción al flujo aéreo en población pediátrica: estudio PAO (Pediatric Airflow Obstruction)" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Forced spirometry is a basic test in the study of lung function.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">1</span></a> Different patterns are identified from the forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) ratio and the FVC value.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Although numerous equations have been proposed for the calculation of predicted values,<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">3</span></a> many scientific societies currently use the equations developed by the Global Lung Function Initiative 2012 (GLI-2012) that have been validated in many countries.<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">4,5</span></a> In Spain, these equations have been validated in preschool children.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">6</span></a> Among the results they provide are the lower limits of normal (LLN) of different parameters, any value below the LLN (<span class="elsevierStyleItalic">z</span>-score −1.64) being considered abnormal.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">4</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">An FEV1/FVC ratio<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>LLN is defined as obstruction.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">2</span></a> However, guidelines for the management of chronic obstructive pulmonary disease (COPD)<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">7</span></a> or asthma<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">8,9</span></a> continue to recommend the use of the fixed ratio as a discriminatory criterion, and this approach is widely used in routine clinical practice.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In children, there is currently no consensus on the value that defines the presence of obstruction, and the recommended lower values range between 85% and 90%.<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">8,9</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">We performed a cross-sectional observational study to assess the validity of different FEV1/FVC ratios for the diagnosis of obstruction in the pediatric population. Spirometries performed in pediatric patients (6–18 years) in our hospital between June and December 2016 were analyzed.</p><p id="par0030" class="elsevierStylePara elsevierViewall">Forced spirometry was performed by experienced operators following ATS/ERS guidelines<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">10</span></a> using the MEDGRAPHICS ULTIMA PF® lung function equipment from MGC DIAGNOSTICS. Predicted values were calculated using the GLI-2012 equations<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">4</span></a> and spirometries that met validity and reproducibility criteria were included.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">1</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">The gold standard for obstruction was defined as a FEV1/FVC ratio <span class="elsevierStyleItalic">z</span>-score of less than −1.64 (GLI-2012).</p><p id="par0040" class="elsevierStylePara elsevierViewall">The statistical analysis was performed using Stata® version 15 software from StataCorp LLC. A descriptive analysis was performed using frequency measures (%) and central tendency and dispersion measures (mean and standard deviation), according to the type of variable. A diagnostic analysis was performed between the different cut-off points of the FEV1/FVC ratio (between <90% and <75%) versus the gold standard of a FEV1/FVC <span class="elsevierStyleItalic">z</span>-score of less than −1.64. The study was approved by the reference ethics committee.</p><p id="par0045" class="elsevierStylePara elsevierViewall">We included 324 Caucasian patients: 198 males (61.1%), mean age 10.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.9 years, height 141.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16.0<span class="elsevierStyleHsp" style=""></span>cm, and weight 40.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.6<span class="elsevierStyleHsp" style=""></span>kg. Mean FEV1, FVC, and FEV1/FVC<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation were 1.98<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.70<span class="elsevierStyleHsp" style=""></span>L, 2.28<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.82<span class="elsevierStyleHsp" style=""></span>L, and 87.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.0%, and the FEV1, FVC, and FEV1/FVC <span class="elsevierStyleItalic">z</span>-scores were −0.63<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.07, −0.60<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.04, and −0.50<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.16, respectively.</p><p id="par0050" class="elsevierStylePara elsevierViewall">The prevalence of obstruction in our series according to LLN was 8.0%. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows prevalence, classification errors, sensitivity, specificity, negative predictive value, positive predictive value, and area under the curve of the cut-off points analyzed from the FEV1/FVC ratio in the whole series and in 2 different age ranges. These results were similar when analyzed by sex (data not shown).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">The prevalence of obstruction in our study was comparable with other studies in the pediatric population.<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">11,12</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">Currently, there are 2 different approaches to the interpretation of spirometries. On the one hand, some authors advocate the use of the fixed ratio for its simplicity and applicability.<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">7–9</span></a> This is based on studies that showed worse survival in patients with an FEV1/FVC ratio <70% and >LLN compared with patients with FV1/FVC<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70%.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">13</span></a> In contrast, other authors support the use of LLN and the <span class="elsevierStyleItalic">z</span>-score, based on studies showing that morbidity or all-cause mortality is not higher in patients with suspected COPD unless the FEV1/FVC ratio is<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">14</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Our study shows that using cut-off points with high sensitivity and low specificity values (90% and 85%) overestimates the prevalence of obstruction, and can lead to overtreatment and higher costs. Thus, compared with the gold standard, the cut-off point of 90% recommended by GINA<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">8</span></a> would overestimate obstruction in our patients by 57.4%, whereas the 85% recommended by GEMA<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">9</span></a> would overestimate obstruction by 26.2%.</p><p id="par0070" class="elsevierStylePara elsevierViewall">To our knowledge, no other studies have evaluated the validity of the fixed ratio using the GLI-2012 LLN as a gold standard. Our study, conducted in a Caucasian population, shows that a fixed value of 80% for the FEV1/FVC ratio has greater validity than higher cut-off points; however, this value still leads to an overdiagnosis of up to 3.7%. Lower cut-off points (78% and 79%) in our series showed lower rates of overdiagnosis, with no increase in the rate of underdiagnosis; comparable results were reported by Stanojevic et al. using an LLN of 78%.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">15</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">Our study has some limitations. Primarily, patients’ symptoms and exacerbations were not analyzed, and it is not known whether the lower ratio was observed in the most symptomatic patients. However, Bacharier et al.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">16</span></a> showed that asthma severity correlated with the FEV1/FVC ratio, which decreased progressively as severity increased. Another weakness of our study is that obstruction was overestimated by 1.9% when the fixed value of 79% was used. However, this is clearly lower than the overestimation produced by the criteria recommended by GINA or GEMA,<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">8,9</span></a> for which the rate of overdiagnosis was between 26.2 and 57.4%.</p><p id="par0080" class="elsevierStylePara elsevierViewall">The study also has its strengths: it is the first to evaluate the validity of the fixed ratio using the GLI-2012 LLN as a gold standard. Our findings are important because the software of many spirometry devices used in both primary and specialized care does not include the GLI-2012 equations, and most clinicians do not have the time to use these equations to calculate predicted values in clinical practice. In its favor, the fixed criterion is simple, applicable, and supported by authors who advocate its use for its high degree of sensitivity, specificity, positive and negative predictive value, and the fact that it has an area under the curve close to 1 of the gold standard that is supported by those who prefer to use the LLN criterion.</p><p id="par0085" class="elsevierStylePara elsevierViewall">In conclusion, we believe that the discriminative criterion for defining the presence of obstruction should be the LLN, rather than a fixed criterion. If a fixed limit must be used, our study shows that the best sensitivity and specificity values are obtained with an FEV1/FVC value of less than 79%. This improves diagnostic accuracy compared to the criteria previously used and is easily applied in routine clinical practice.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Funding</span><p id="par0090" class="elsevierStylePara elsevierViewall">This study has not received specific grants from public sector agencies, the commercial sector, or non-profit organizations.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Funding" ] 1 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:1 [ 0 => 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:2 [ "leyenda" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleSup">a</span> Calculated from total patients by age range: 210 patients in the range >6–≤11 and 114 patients in the age range >11–≤18.</p>" "tablatextoimagen" => array:1 [ 0 => array:1 [ "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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"></th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><90%</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><85%</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><80%</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><79%</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><78%</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">Age, years \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">>6–≤11 \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">>11–≤18 \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">>6–≤11 \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">>11–≤18 \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">>6–≤11 \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">>11–≤18 \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">>6–≤11 \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">>11–≤18 \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">>6–≤11 \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">>11–≤18 \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">>6–≤11 \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">>11–≤18 \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">Obstruction, <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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 \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">139 \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">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67 \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">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 \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">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 \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">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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">Prevalence<span class="elsevierStyleSup">a</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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.1% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.6% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66.2% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64.0% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31.9% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.5% \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">11.0% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.2% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8.6% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.2% \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.7% \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">12.2% \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">Overdiagnosis, <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="" 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">124 (59.0%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62 (54.4%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52 (24.8%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (29.8%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (3.8%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (3.5%) \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">3 (1.4%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (2.6%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (2.6%) \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">Underdiagnosis, <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="" 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 \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 \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 \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 \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 \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 \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 \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 \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">3 (1.4%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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">Sensitivity \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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88.5%</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">Specificity \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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.6%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71.1%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96.0%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98.0%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99.0%</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">PPV \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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.3%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.2%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68.4%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.3%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88.5%</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">NPV \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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100%</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99.0%</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">ROC area \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 " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.688</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.856</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.980</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.990</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.937</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Prevalence and errors in classification with different cut-off points in 2 age ranges. 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Year/Month | Html | Total | |
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2024 November | 19 | 5 | 24 |
2024 October | 150 | 24 | 174 |
2024 September | 221 | 33 | 254 |
2024 August | 160 | 46 | 206 |
2024 July | 156 | 34 | 190 |
2024 June | 132 | 28 | 160 |
2024 May | 122 | 31 | 153 |
2024 April | 92 | 26 | 118 |
2024 March | 89 | 18 | 107 |
2024 February | 86 | 33 | 119 |
2024 January | 84 | 26 | 110 |
2023 December | 136 | 25 | 161 |
2023 November | 103 | 23 | 126 |
2023 October | 198 | 37 | 235 |
2023 September | 135 | 30 | 165 |
2023 August | 97 | 31 | 128 |
2023 July | 113 | 26 | 139 |
2023 June | 161 | 38 | 199 |
2023 May | 150 | 115 | 265 |
2023 April | 97 | 44 | 141 |
2023 March | 112 | 53 | 165 |
2023 February | 100 | 25 | 125 |
2023 January | 94 | 37 | 131 |
2022 December | 133 | 35 | 168 |
2022 November | 148 | 26 | 174 |
2022 October | 133 | 37 | 170 |
2022 September | 129 | 32 | 161 |
2022 August | 138 | 45 | 183 |
2022 July | 329 | 45 | 374 |
2022 June | 154 | 68 | 222 |
2022 May | 56 | 18 | 74 |
2022 February | 2 | 0 | 2 |