Correspondencia: Sección de Cirugía Torácica. Hospital Universitario de Salamanca. P.° San Vicente, 58. 37007 Salamanca. España
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Hidalgo Ramírez, E. Cases Viedma, J.L. Sanchis Aldás" "autores" => array:3 [ 0 => array:2 [ "nombre" => "M." "apellidos" => "Hidalgo Ramírez" ] 1 => array:2 [ "nombre" => "E." "apellidos" => "Cases Viedma" ] 2 => array:2 [ "nombre" => "J.L." "apellidos" => "Sanchis Aldás" ] ] ] ] ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289603753769?idApp=UINPBA00003Z" "url" => "/03002896/0000003900000006/v1_201307081444/S0300289603753769/v1_201307081444/es/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S0300289603753745" "issn" => "03002896" "doi" => "10.1016/S0300-2896(03)75374-5" "estado" => "S300" "fechaPublicacion" => "2003-06-01" "aid" => "75374" "copyright" => "Sociedad Española de Neumología y Cirugía Torácica" "documento" => "article" "crossmark" => 0 "subdocumento" => "edi" "cita" => "Arch Bronconeumol. 2003;39:246-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 16382 "formatos" => array:3 [ "EPUB" => 73 "HTML" => 15187 "PDF" => 1122 ] ] "es" => array:7 [ "idiomaDefecto" => true "titulo" => "Nódulo pulmonar solitario: ¿qué ha cambiado en su evaluación diagnóstica?" "tienePdf" => "es" "tieneTextoCompleto" => 0 "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "246" "paginaFinal" => "248" ] ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "R. Moreno Balsalobre, L. Fernández Fau" "autores" => array:2 [ 0 => array:2 [ "nombre" => "R." "apellidos" => "Moreno Balsalobre" ] 1 => array:2 [ "nombre" => "L." "apellidos" => "Fernández Fau" ] ] ] ] ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289603753745?idApp=UINPBA00003Z" "url" => "/03002896/0000003900000006/v1_201307081444/S0300289603753745/v1_201307081444/es/main.assets" ] "es" => array:14 [ "idiomaDefecto" => true "titulo" => "Aplicabilidad de un modelo predictivo de muerte por resección de cáncer de pulmón a la toma de decisiones individualizadas" "tieneTextoCompleto" => 0 "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "249" "paginaFinal" => "252" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "G. Varela, M.F. Jiménez, N. Novoa" "autores" => array:3 [ 0 => array:4 [ "nombre" => "G." "apellidos" => "Varela" "email" => array:1 [ 0 => "gvs@usal.es" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">¿</span>" "identificador" => "cor0005" ] ] ] 1 => array:2 [ "nombre" => "M.F." "apellidos" => "Jiménez" ] 2 => array:2 [ "nombre" => "N." "apellidos" => "Novoa" ] ] "afiliaciones" => array:1 [ 0 => array:1 [ "entidad" => "Sección de Cirugía Torácica. Hospital Universitario de Salamanca. Salamanca. España" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Correspondencia: Sección de Cirugía Torácica. Hospital Universitario de Salamanca. P.° San Vicente, 58. 37007 Salamanca. España" ] ] ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "A model to predict death after lung cancer resection: applicability to individual cases" ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2002-06-28" "fechaAceptado" => "2003-01-07" "PalabrasClave" => array:2 [ "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec190289" "palabras" => array:3 [ 0 => "Resección pulmonar" 1 => "Mortalidad operatoria" 2 => "Predicción del riesgo quirúrgico" ] ] ] "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Key words" "identificador" => "xpalclavsec190290" "palabras" => array:3 [ 0 => "Lung resection" 1 => "Operative mortality" 2 => "Surgical risk prediction" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "es" => array:1 [ "resumen" => "<span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Evaluar la fiabilidad de un modelo de regresión logística para predecir el riesgo individual de muerte por resección de cáncer pulmonar (CP)</p> <span class="elsevierStyleSectionTitle">Método</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Estudio de 515 casos consecutivos sometidos a resección pulmonar anatómica (lobectomía o neumonectomía) por CP entre enero de 1994 y diciembre de 2001. La variable dependiente fue la mortalidad hospitalaria o extrahospitalaria en los 30 días siguientes a la intervención; las variables independientes continuas: la edad, el índice de masa corporal y el volumen espiratorio forzado en el primer segundo, en porcentaje del teórico (FEV1ppo), y las variables independientes binarias: cardiopatía isquémica, diabetes mellitus, arritmia preoperatoria, quimioterapia de inducción, tipo de resección realizada (lobectomía o neumonectomía), resección de pared torácica, extensión tumoral (tumor localizado o extendido) y transfusión sanguínea perioperatoria. Todas las variables han sido recogidas de forma prospectiva. Se ha realizado un análisis univariante utilizando tablas de contingencia para las variables binarias y ANOVA para las continuas; posteriormente, se ha efectuado un análisis de regresión logística por pasos hacia atrás y se ha calculado la probabilidad de muerte para cada caso individual. Con este valor se ha construido una curva ROC utilizando como variable de estado la aparición de muerte operatoria</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">En el análisis multivariante, las siguientes variables se han encontrado relacionadas de forma independiente con la mortalidad: edad (p < 0,001; odds ratio [OR]<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1,11), extensión tumoral (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,002; OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3,47) y transfusión perioperatoria (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,004; OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3,87). El área bajo la curva ROC es de 0,77, pero esto es debido a una especificidad elevada, ya que ningún caso de complicación pudo ser predicho</p> <span class="elsevierStyleSectionTitle">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Aunque se encuentran algunas variables relacionadas con la muerte operatoria, el modelo descrito no es capaz de predecir la muerte operatoria. Por tanto, la aplicabilidad a la toma de decisiones individualizadas es de escasa utilidad</p>" ] "en" => array:1 [ "resumen" => "<span class="elsevierStyleSectionTitle">Objective</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">To evaluate the reliability of a logistic regression model to predict individual risk of death related to lung cancer resection</p> <span class="elsevierStyleSectionTitle">Method</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">A study of 515 consecutive patients undergoing anatomical pulmonary resection (lobectomy or pulmonectomy) for lung cancer between January 1994 and December 2001. Dependent variable: death in or out of hospital within 30 days of surgery. Continuous independent variables: age, body mass index, and percent of predicted postoperative FEV1. Binary independent variables: ischemic heart disease, diabetes mellitus, preoperative arrhythmia, induction chemotherapy, type of resection (lobectomy or pneumonectomy), chest wall resection, tumor extension (localized or extended tumor) and perioperative blood transfusion. All data were gathered prospectively. A univariate analysis was performed using contingency tables for binary variables and analysis of variance for continuous ones; stepwise logistic regression analysis was then performed and the likelihood of death for each individual was calculated. A receiver operating characteristic (ROC) curve was constructed with the data, using surgical death as the state variable</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The following variables were found to be independently related to death in the univariate analysis: age (p < 0.001, odds ratio 1.11); tumor extension (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002; OR 3.47) and perioperative transfusion (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.004; OR 3.87). The area under the ROC curve was 0.77, attributable to high specificity given that none of the complications could have been predicted</p> <span class="elsevierStyleSectionTitle">Conclusion</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Although some variables are related to surgical death, the described model is not able to give a prediction. Therefore, the model is of little use for application in making decisions about individual cases</p>" ] ] "bibliografia" => array:2 [ "titulo" => "Bibliografía" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:12 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1." "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Assessment of operative risk in patients undergoing lung resection" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "D.J. Kearney" 1 => "T.H. Lee" 2 => "J.J. 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2020 May | 27 | 11 | 38 |
2020 April | 20 | 12 | 32 |
2020 March | 14 | 25 | 39 |
2020 February | 21 | 13 | 34 |
2020 January | 27 | 30 | 57 |
2019 December | 21 | 20 | 41 |
2019 November | 10 | 11 | 21 |
2019 October | 15 | 14 | 29 |
2019 September | 11 | 15 | 26 |
2019 August | 12 | 8 | 20 |
2019 July | 15 | 20 | 35 |
2019 June | 16 | 10 | 26 |
2019 May | 36 | 26 | 62 |
2019 April | 30 | 22 | 52 |
2019 March | 11 | 11 | 22 |
2019 February | 15 | 11 | 26 |
2019 January | 8 | 5 | 13 |
2018 December | 14 | 10 | 24 |
2018 November | 20 | 13 | 33 |
2018 October | 27 | 15 | 42 |
2018 September | 20 | 11 | 31 |
2018 May | 8 | 1 | 9 |
2018 April | 8 | 5 | 13 |
2018 March | 6 | 5 | 11 |
2018 February | 7 | 6 | 13 |
2018 January | 7 | 9 | 16 |
2017 December | 7 | 11 | 18 |
2017 November | 5 | 7 | 12 |
2017 October | 8 | 9 | 17 |
2017 September | 4 | 6 | 10 |
2017 August | 10 | 12 | 22 |
2017 July | 10 | 14 | 24 |
2017 June | 16 | 19 | 35 |
2017 May | 8 | 8 | 16 |
2017 April | 6 | 4 | 10 |
2017 March | 6 | 19 | 25 |
2017 February | 8 | 8 | 16 |
2017 January | 8 | 6 | 14 |
2016 December | 20 | 10 | 30 |
2016 November | 20 | 15 | 35 |
2016 October | 18 | 19 | 37 |
2016 September | 18 | 17 | 35 |
2016 August | 15 | 7 | 22 |
2016 July | 15 | 7 | 22 |
2016 June | 31 | 11 | 42 |
2016 May | 21 | 8 | 29 |
2016 April | 16 | 3 | 19 |
2016 March | 14 | 2 | 16 |
2016 February | 14 | 2 | 16 |
2016 January | 30 | 16 | 46 |
2015 December | 39 | 15 | 54 |
2015 November | 29 | 8 | 37 |
2015 October | 79 | 1 | 80 |
2015 September | 52 | 0 | 52 |
2015 August | 50 | 0 | 50 |
2015 July | 47 | 0 | 47 |
2015 June | 50 | 0 | 50 |
2015 May | 68 | 0 | 68 |
2015 April | 47 | 0 | 47 |
2015 March | 36 | 0 | 36 |
2015 February | 28 | 0 | 28 |
2015 January | 35 | 0 | 35 |
2014 December | 32 | 0 | 32 |
2014 November | 56 | 0 | 56 |
2014 October | 63 | 0 | 63 |
2014 September | 42 | 0 | 42 |
2014 August | 51 | 0 | 51 |
2014 July | 47 | 0 | 47 |
2014 June | 49 | 0 | 49 |
2014 May | 58 | 0 | 58 |
2014 April | 51 | 0 | 51 |
2014 March | 46 | 0 | 46 |
2014 February | 55 | 0 | 55 |
2014 January | 43 | 0 | 43 |
2013 December | 45 | 0 | 45 |
2013 November | 40 | 0 | 40 |
2013 October | 62 | 0 | 62 |
2013 September | 64 | 0 | 64 |
2013 August | 44 | 0 | 44 |
2013 July | 55 | 0 | 55 |
2013 June | 48 | 0 | 48 |
2013 May | 52 | 0 | 52 |
2013 April | 25 | 0 | 25 |
2013 March | 15 | 0 | 15 |
2000 January | 2572 | 0 | 2572 |