Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Bert-Dulanto, Aimée, Alarcón-Braga, Esteban A., Castillo-Soto, Ana, Escalante-Kanashiro, Raffo
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/658441
Enlace del recurso:http://hdl.handle.net/10757/658441
Nivel de acceso:acceso embargado
Materia:Mortality
Prognostic models
Pulmonary tuberculosis
Systematic review
Tuberculosis
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.es_PE.fl_str_mv Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
title Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
spellingShingle Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
Bert-Dulanto, Aimée
Mortality
Prognostic models
Pulmonary tuberculosis
Systematic review
Tuberculosis
title_short Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
title_full Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
title_fullStr Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
title_full_unstemmed Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
title_sort Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
author Bert-Dulanto, Aimée
author_facet Bert-Dulanto, Aimée
Alarcón-Braga, Esteban A.
Castillo-Soto, Ana
Escalante-Kanashiro, Raffo
author_role author
author2 Alarcón-Braga, Esteban A.
Castillo-Soto, Ana
Escalante-Kanashiro, Raffo
author2_role author
author
author
dc.contributor.author.fl_str_mv Bert-Dulanto, Aimée
Alarcón-Braga, Esteban A.
Castillo-Soto, Ana
Escalante-Kanashiro, Raffo
dc.subject.es_PE.fl_str_mv Mortality
Prognostic models
Pulmonary tuberculosis
Systematic review
Tuberculosis
topic Mortality
Prognostic models
Pulmonary tuberculosis
Systematic review
Tuberculosis
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2022-01-04T15:42:49Z
dc.date.available.none.fl_str_mv 2022-01-04T15:42:49Z
dc.date.issued.fl_str_mv 2021-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 00195707
dc.identifier.doi.none.fl_str_mv 10.1016/j.ijtb.2021.10.007
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/658441
dc.identifier.journal.es_PE.fl_str_mv Indian Journal of Tuberculosis
dc.identifier.eid.none.fl_str_mv 2-s2.0-85118709310
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85118709310
dc.identifier.pii.none.fl_str_mv S0019570721002298
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 00195707
10.1016/j.ijtb.2021.10.007
Indian Journal of Tuberculosis
2-s2.0-85118709310
SCOPUS_ID:85118709310
S0019570721002298
0000 0001 2196 144X
url http://hdl.handle.net/10757/658441
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S0019570721002298
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Tuberculosis Association of India
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Academico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Indian Journal of Tuberculosis
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/658441/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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spelling 238a83d4e66270ab7e73e23317ad8ca82a81817d57150badcc4591fbb7575e46500821bae18151e179414b8ee063e79d4ff500903e3eabbec6a366966f0a9f21569273Bert-Dulanto, AiméeAlarcón-Braga, Esteban A.Castillo-Soto, AnaEscalante-Kanashiro, Raffo2022-01-04T15:42:49Z2022-01-04T15:42:49Z2021-01-010019570710.1016/j.ijtb.2021.10.007http://hdl.handle.net/10757/658441Indian Journal of Tuberculosis2-s2.0-85118709310SCOPUS_ID:85118709310S00195707210022980000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Background: Pulmonary tuberculosis is a highly prevalent disease in low-income countries; clinical prediction tools allow healthcare personnel to catalog patients with a higher risk of death in order to prioritize medical attention. Methodology: We conducted a literature search on prognostic models aimed to predict mortality in patients diagnosed with pulmonary tuberculosis. We included prospective and retrospective studies where prognostic models predicting mortality were either developed or validated in patients diagnosed with pulmonary tuberculosis. Three reviewers independently assessed the quality of the included studies using the PROBAST tool (Prediction model study Risk of Bias Assessment Tool). A narrative review of the characteristics of each model was conducted. Results: Six articles (n = 3553 patients) containing six prediction models were included in the review. Most studies (5 out of 6) were retrospective cohorts, only one study was a prospective case-control study. All the studies had a high risk of bias according to the PROBAST tool in the overall assessment. Regarding the applicability of the prediction models, three studies had a low concern of applicability, two high concern and one unclear concern. Five studies developed new prediction rules. In general, the presented models had a good discriminatory ability, with areas under the curve fluctuating between 0.65 up to 0.91. Conclusion: None of the prognostic models included in the review accurately predict mortality in patients with pulmonary tuberculosis, due to great heterogeneity in the population and a high risk of bias.Revisión por paresapplication/htmlengTuberculosis Association of Indiahttps://www.sciencedirect.com/science/article/abs/pii/S0019570721002298info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCIndian Journal of Tuberculosisreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCMortalityPrognostic modelsPulmonary tuberculosisSystematic reviewTuberculosisPredicting mortality in pulmonary tuberculosis: A systematic review of prognostic modelsinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/658441/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/658441oai:repositorioacademico.upc.edu.pe:10757/6584412022-01-04 15:42:50.562Repositorio académico upcupc@openrepository.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Predicting mortality in pulmonary tuberculosis: A systematic review of prognostic models
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