Urology and Web predictive resources

Borque, Á.; Espárrago, M.; Sánchez-Martín, F.; Rubio-Briones, J.; Esteban, L.M.; Sanz, G.

doi:10.1016/j.acuroe.2014.02.020

array:23 ["pii" => "S2173578614000432" "issn" => "21735786" "doi" => "10.1016/j.acuroe.2014.02.020" "estado" => "S300" "fechaPublicacion" => "2014-04-01" "aid" => "621" "copyright" => "AEU" "copyrightAnyo" => "2013" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "edi" "cita" => "Actas Urol Esp. 2014;38:141-2" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 622 "formatos" => array:3 [ "EPUB" => 16 "HTML" => 475 "PDF" => 131 ] ] "Traduccion" => array:1 [ "es" => array:19 [ "pii" => "S0210480614000333" "issn" => "02104806" "doi" => "10.1016/j.acuro.2013.12.009" "estado" => "S300" "fechaPublicacion" => "2014-04-01" "aid" => "621" "copyright" => "AEU" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "edi" "cita" => "Actas Urol Esp. 2014;38:141-2" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 718 "formatos" => array:3 [ "EPUB" => 10 "HTML" => 558 "PDF" => 150 ] ] "es" => array:10 [ "idiomaDefecto" => true "cabecera" => "Editorial" "titulo" => "Urología y recursos predictivos en la Web" "tienePdf" => "es" "tieneTextoCompleto" => "es" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "141" "paginaFinal" => "142" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Urology and Web predictive resources" ] ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Á. Borque, M. Espárrago, F. Sánchez-Martín, J. Rubio-Briones, L.M. Esteban, G. Sanz" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Á." "apellidos" => "Borque" ] 1 => array:2 [ "nombre" => "M." "apellidos" => "Espárrago" ] 2 => array:2 [ "nombre" => "F." "apellidos" => "Sánchez-Martín" ] 3 => array:2 [ "nombre" => "J." "apellidos" => "Rubio-Briones" ] 4 => array:2 [ "nombre" => "L.M." "apellidos" => "Esteban" ] 5 => array:2 [ "nombre" => "G." "apellidos" => "Sanz" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2173578614000432" "doi" => "10.1016/j.acuroe.2014.02.020" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578614000432?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210480614000333?idApp=UINPBA00004N" "url" => "/02104806/0000003800000003/v1_201403270030/S0210480614000333/v1_201403270030/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2173578613002412" "issn" => "21735786" "doi" => "10.1016/j.acuroe.2013.12.002" "estado" => "S300" "fechaPublicacion" => "2014-04-01" "aid" => "575" "copyright" => "AEU" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Actas Urol Esp. 2014;38:143-9" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 725 "formatos" => array:3 [ "EPUB" => 13 "HTML" => 553 "PDF" => 159 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "Original article" "titulo" => "Gene expression profiles in prostate cancer: Identification of candidate non-invasive diagnostic markers" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "143" "paginaFinal" => "149" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Perfil de expresión génica en el cáncer de próstata: identificación de marcadores candidatos para el diagnóstico no invasivo" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1385 "Ancho" => 1512 "Tamanyo" => 63422 ] ] "descripcion" => array:1 [ "en" => "Correlation between the gene expression data obtained by means of the microarray technique and the RT-qPCR for 10 selected genes." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "L. Mengual, E. Ars, J.J. Lozano, M. Burset, L. Izquierdo, M. Ingelmo-Torres, J.M. Gaya, F. Algaba, H. Villavicencio, M.J. Ribal, A. Alcaraz" "autores" => array:11 [ 0 => array:2 [ "nombre" => "L." "apellidos" => "Mengual" ] 1 => array:2 [ "nombre" => "E." "apellidos" => "Ars" ] 2 => array:2 [ "nombre" => "J.J." "apellidos" => "Lozano" ] 3 => array:2 [ "nombre" => "M." "apellidos" => "Burset" ] 4 => array:2 [ "nombre" => "L." "apellidos" => "Izquierdo" ] 5 => array:2 [ "nombre" => "M." "apellidos" => "Ingelmo-Torres" ] 6 => array:2 [ "nombre" => "J.M." "apellidos" => "Gaya" ] 7 => array:2 [ "nombre" => "F." "apellidos" => "Algaba" ] 8 => array:2 [ "nombre" => "H." "apellidos" => "Villavicencio" ] 9 => array:2 [ "nombre" => "M.J." "apellidos" => "Ribal" ] 10 => array:2 [ "nombre" => "A." "apellidos" => "Alcaraz" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210480613003252" "doi" => "10.1016/j.acuro.2013.07.012" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210480613003252?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578613002412?idApp=UINPBA00004N" "url" => "/21735786/0000003800000003/v1_201404190136/S2173578613002412/v1_201404190136/en/main.assets" ] "en" => array:14 [ "idiomaDefecto" => true "cabecera" => "Editorial" "titulo" => "Urology and Web predictive resources" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "141" "paginaFinal" => "142" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Á. Borque, M. Espárrago, F. Sánchez-Martín, J. Rubio-Briones, L.M. Esteban, G. Sanz" "autores" => array:6 [ 0 => array:4 [ "nombre" => "Á." "apellidos" => "Borque" "email" => array:1 [ 0 => "aborque@comz.org" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "¿" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "M." "apellidos" => "Espárrago" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "F." "apellidos" => "Sánchez-Martín" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "c" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "J." "apellidos" => "Rubio-Briones" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "d" "identificador" => "aff0020" ] ] ] 4 => array:3 [ "nombre" => "L.M." "apellidos" => "Esteban" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "e" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "nombre" => "G." "apellidos" => "Sanz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "f" "identificador" => "aff0030" ] ] ] ] "afiliaciones" => array:6 [ 0 => array:3 [ "entidad" => "Oficina de Informática, Asociación Española de Urología, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Urología, Hospital Universitario Miguel Servet, Zaragoza, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio de Urología, Fundación Puigvert, Barcelona, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Servicio de Urología, Instituto Valenciano de Oncología, Valencia, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Escuela Universitaria Politécnica de La Almunia, Universidad de Zaragoza, Zaragoza, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Departamento de Métodos Estadísticos, Universidad de Zaragoza, Zaragoza, Spain" "etiqueta" => "f" "identificador" => "aff0030" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Urología y recursos predictivos en la Web" ] ] "textoCompleto" => "Current medicine pursues a professional specialization and therapeutic individualization under the concept of individualized medicine, which is a personalized genomic medicine. However, our clinical practice is far from able to have an individualized genomic analysis of each patient and with enough evidence to provide personalized therapeutic advice.<a class="elsevierStyleCrossRef" href="#bib0005">1</a>Overcoming the current limitations to this personalized medicine with a genetic basis is an important goal of this century. However, indirectly, we do have resources that can offer individualized medical advice to our patients. These resources come from the statistical and mathematical analyses of a large series of patients, their characteristics, evolution, and objectified results. We are referring to the complex multivariate analyses using more or less conventional techniques, such as logistic regression or Cox proportional hazards regression, or more advanced techniques, models based on artificial intelligence.<a class="elsevierStyleCrossRef" href="#bib0010">2</a>These analyses are presented in the scientific and clinical universe as graphs, known as nomograms. However, these nomograms are still uncomfortable to apply in clinical practice and this has hindered their implementation. It would be ideal to have a tool capable of providing access and use of these predictive resources so that once the characteristics of our patient have been introduced, it would offer its individualized prediction that a certain event would occur. Actually, this tool exists, or rather ‘these tools exist’, a good number of them are available on-line pertaining to the area of urology, and also to the possible evolution and benign prostatic hyperplasia of a patient, survival of a graft after transplantation, or the chances of having a certain urological tumor, its extent or overall, cancer-specific and/or progression-free survival.In this work we have made an effort to identify the predictive resources available on-line directly or indirectly related to the field of urology, verify their present functioning, index them according to the diseases that determine their prediction and grouping duplicities (sometimes two locations or uniform resource locator [URL] refer to the same predictive resource) and, finally, reference those publications in which they are based to build their predictive algorithm.This work was performed to offer to the urological community an indexed collection of predictive resources and risk calculators available on line, with their respective access URLs, and to facilitate their implementation in clinical practice or as target of investigation favoring external validations in our field of different published predictive models. We identified a total of 78 resources of interest in the field of urology, which have been grouped according to their corresponding disease. We identified, according to what they predict, the URL where they are available and the supporting literature on which they are based if they have been detailed. They deal with several areas, including benign prostatic hyperplasia (BPH), incontinence, renal transplant, oncology (adrenal cancer, penile cancer, upper urinary tract cancer, bladder cancer, kidney cancer, and prostate cancer), as well as other tools or risk calculators.This project has not undertaken a critical evaluation of the evidence supporting each predictive resource because a project of this magnitude would be unapproachable. However, an effort has been made to detail the scientific literature on which each of the resources is based, so that an individualized analysis of each of them can be performed, and even their external validations. All the on-line links have been verified for their proper functioning on June 11, 2013, as they were presented in the training course “Computing for Urologists-2013” which took place during the past LXXVIII National Urology Congress held from June 12 to June 15, 2013, in the city of Granada. We hope they are useful to the reader of Actas Urológicas Españolas." "pdfFichero" => "main.pdf" "tienePdf" => true "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: Borque Á, Espárrago M, Sánchez-Martín F, Rubio-Briones J, Esteban LM, Sanz G. Urología y recursos predictivos en la Web. Actas Urol Esp. 2014;38:141–142." ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "The following are the supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0010" ] ] ] ] "multimedia" => array:1 [ 0 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.doc" "ficheroTamanyo" => 204288 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:2 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Genetic predisposition to early recurrence in clinically localized prostate cancer" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A. Borque" 1 => "J. del Amo" 2 => "L.M. Esteban" 3 => "E. Ars" 4 => "C. Hernández" 5 => "J. Planas" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/j.1464-410X.2012.11333.x" "Revista" => array:6 [ "tituloSerie" => "BJU Int" "fecha" => "2013" "volumen" => "111" "paginaInicial" => "549" "paginaFinal" => "558" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22759231" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The use of neural networks and logistic regression analysis for predicting pathological stage in men undergoing radical prostatectomy: a population based study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "A. Borque" 1 => "G. Sanz" 2 => "C. Allepuz" 3 => "L. Plaza" 4 => "P. Gil" 5 => "L.A. Rioja" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "J Urol" "fecha" => "2001" "volumen" => "166" "paginaInicial" => "1672" "paginaFinal" => "1678" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11586200" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/21735786/0000003800000003/v1_201404190136/S2173578614000432/v1_201404190136/en/main.assets" "Apartado" => array:4 [ "identificador" => "6293" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Editorial" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/21735786/0000003800000003/v1_201404190136/S2173578614000432/v1_201404190136/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578614000432?idApp=UINPBA00004N"]

ISSN: 2173-5786

Actas Urológicas Españolas is an international journal dedicated to urological diseases and renal transplant. It has been the official publication of the Spanish Urology Association since 1974 and of the American Urology Confederation since 2008. Its articles cover all aspects related to urology. Actas Urológicas Españolas, governed by the peer review system (double blinded), is published online in Spanish and English. Consequently, manuscripts may be sent in Spanish or English and bidirectional free cost translation will be provided. It has high visibility and accessibility and is found in the most important data bases, Medline/Pubmed, Emabase, JCR, Ïndice Médico Español, Índice bibliográfico Español en Ciencias de la Salud (IBECS), Cuiden, Dialnet, Hinari, Scopus, Google Scholar.

See more Open Access Option

Indexed in:

Science Citation Index Expanded, Journal of Citation Reports, Index Medicus/MEDLINE, Scopus, EMBASE/Excerpta Medica, IBECS

Subscribe:

Impact factor

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.

© Clarivate Analytics, Journal Citation Reports 2022

Impact factor 2023

1.2

Citescore

CiteScore measures average citations received per document published.

Citescore 2023

1.9

SJR

SRJ is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact.

SJR 2023

0.332

SNIP

SNIP measures contextual citation impact by wighting citations based on the total number of citations in a subject field.

SNIP 2023

0.557

View more metrics

Journal Information

Previous article | Next article

Vol. 38. Issue 3.