Neural network and logistic regression predictive calculator for giant cell arteritis

Ing, E.B.

doi:10.1016/j.oftale.2019.07.010

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Alba García" "autores" => array:6 [ 0 => array:2 [ "nombre" => "F.J." "apellidos" => "García-Callejo" ] 1 => array:2 [ "nombre" => "F." "apellidos" => "Martínez Expósito" ] 2 => array:2 [ "nombre" => "B." "apellidos" => "Pallarés Martí" ] 3 => array:2 [ "nombre" => "A." "apellidos" => "Rubio Fernández" ] 4 => array:2 [ "nombre" => "N." "apellidos" => "Oishi" ] 5 => array:2 [ "nombre" => "J.R." "apellidos" => "Alba García" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S036566911930187X" "doi" => "10.1016/j.oftal.2019.05.016" "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/S036566911930187X?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173579419301318?idApp=UINPBA00004N" "url" => "/21735794/0000009400000012/v1_201912161902/S2173579419301318/v1_201912161902/en/main.assets" ] "en" => array:14 [ "idiomaDefecto" => true "cabecera" => "Letter to the Editor" "titulo" => "Neural network and logistic regression predictive calculator for giant cell arteritis" "tieneTextoCompleto" => true "saludo" => "Dear Editor:" "paginas" => array:1 [ 0 => array:1 [ "paginaInicial" => "622" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "E.B. Ing" "autores" => array:1 [ 0 => array:3 [ "nombre" => "E.B." "apellidos" => "Ing" "email" => array:1 [ 0 => "edingLidStrab@gmail.com" ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Departamento de Oftalmología, University of Toronto, Toronto, Canada" "identificador" => "aff0005" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Red neuronal y calculadora predictiva de regresión logística para la arteritis de células gigantes" ] ] "textoCompleto" => "I read with interest the article by Moraña et al.<a class="elsevierStyleCrossRef" href="#bib0005">1</a>An alternative giant cell arteritis (GCA) risk calculator employing both neural network and logistic regression models (NN-LR) was published in early 2019,<a class="elsevierStyleCrossRef" href="#bib0010">2</a> and is available online at <a href="https://goo.gl/THCnuU">https://goo.gl/THCnuU</a>. The prediction model was developed using retrospective data from 1201 consecutive patients undergoing temporal artery biopsy for suspected giant cell arteritis at 14 medical centers. The patients were referred by ophthalmologists and internal medicine specialists. The NN-LR calculator adheres to the guidelines for the Transparent Reporting of Multivariable Prediction Model for Individual Diagnosis or Prognosis,<a class="elsevierStyleCrossRef" href="#bib0015">3</a> and has geographic external validation and provides cut-points for 99% and 95% sensitivity.The NN-LR calculator used the ten predictor variables of: age, gender, new onset headache, temporal artery tenderness or pulselessness, jaw claudication, vision loss, diplopia, erythrocyte sedimentation rate, C-reactive protein and platelets. The age and the bloodwork predictors were maintained as continuous variables to preserve statistical power. There was no multicollinearity. Age, platelets, jaw claudication and vision loss were the strongest predictors of GCA.Unlike the González-López calculator,<a class="elsevierStyleCrossRef" href="#bib0020">4</a> the NN-LR calculator does not require data on temporal artery biopsy length. The NN-LR calculator did not include polymyalgia rheumatica (PMR) as a predictor variable as it can be a nonspecific clinical manifestation, with overlapping age and acute phase response characteristics with GCA. The distinction of PMR from osteoarthritis flare can be difficult. Reports of joint X-rays were not available in the NN-LR study. Also, rotator cuff injury and fibromyalgia may have overlapping clinical features with PMR." "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2019-07-16" "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: Ing EB. Red neuronal y calculadora predictiva de regresión logística para la arteritis de células gigantes. Arch Soc Esp Oftalmol. 2019;94:622." ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:4 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Giant cell arteritis and usefulness of a predictive calculator [Article in English, Spanish]" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "M.N. Moraña" 1 => "C. Sevillano" 2 => "S. Martínez" 3 => "M.L. Carral" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.oftal.2019.04.009" "Revista" => array:2 [ "tituloSerie" => "Arch Soc Esp Oftalmol" "fecha" => "2019" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "E.B. Ing" 1 => "N.R. Miller" 2 => "A. Nguyen" 3 => "W. Su" 4 => "L.L. Bursztyn" 5 => "M. Poole" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2147/OPTH.S193460" "Revista" => array:6 [ "tituloSerie" => "Clin Ophthalmol" "fecha" => "2019" "volumen" => "13" "paginaInicial" => "421" "paginaFinal" => "430" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30863010" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "G.S. Collins" 1 => "J.B. Reitsma" 2 => "D.G. Altman" 3 => "K.G. Moons" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "BMJ" "fecha" => "2015" "volumen" => "162" "paginaInicial" => "55" "paginaFinal" => "63" ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0020" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A calculator for temporal artery biopsy" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J.J. González-López" 1 => "J. González-Moraleja" 2 => "G. Rebolleda" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Eur J Intern" "fecha" => "2014" "volumen" => "25" "paginaInicial" => "e98" "paginaFinal" => "100" ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/21735794/0000009400000012/v1_201912161902/S2173579419301574/v1_201912161902/en/main.assets" "Apartado" => array:4 [ "identificador" => "5813" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Letter to the Editor" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/21735794/0000009400000012/v1_201912161902/S2173579419301574/v1_201912161902/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173579419301574?idApp=UINPBA00004N"]

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Archivos de la Sociedad Española de Oftalmología is the official journal of the Ophthalmology Society of Spain, that has over 4,000 members. It gives priority to the publication of basic, translational and clinic research including reviews, original articles, short communications, editorials, letters to the editor and clinic practice guides related to Ophthalmology and its subspecialties. A small section of the journal is reserved for the most relevant papers presented at the annual Congress of the Society. All manuscripts considered for publication are reviewed by expert examiner peers (double blind). The journal is published monthly and even though its official language is Spanish all articles are translated into English to increase the dissemination of scientific information. At present, Archivos is the only Spanish language Ophthalmology journal indexed in PubMed/MEDLINE in addition to other prestigious international databases such as Scopus.

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Vol. 94. Issue 12.

Pages 622 (December 2019)

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