Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults

Detalhes bibliográficos
Autor(a) principal: Peetluk, Lauren S.
Data de Publicação: 2021
Outros Autores: Ridolfi, Felipe M., Rebeiro, Peter F., Liu, Dandan, Rolla, Valeria C., Sterling, Timothy R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/46922
Resumo: Vanderbilt University Medical Center. Division of Epidemiology. Nashville, Tennessee, USA.
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spelling Peetluk, Lauren S.Ridolfi, Felipe M.Rebeiro, Peter F.Liu, DandanRolla, Valeria C.Sterling, Timothy R.2021-04-26T20:25:29Z2021-04-26T20:25:29Z2021PEETLUK, Lauren S. et al. Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults. BMJ open, v. 11, n. 3, p. 1-17, 20212044-6055https://www.arca.fiocruz.br/handle/icict/4692210.1136/bmjopen-2020-044687engBMJSystematic review of prediction models for pulmonary tuberculosis treatment outcomes in adultsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleVanderbilt University Medical Center. Division of Epidemiology. Nashville, Tennessee, USA.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.Vanderbilt University Medical Center. Division of Epidemiology. Nashville, Tennessee, USA / Vanderbilt University Medical Center. Division of Infectious Diseases. Nashville, Tennessee, USA.Vanderbilt University Medical Center. Biostatistics. Nashville, Tennessee, USA.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.Vanderbilt University Medical Center. Division of Infectious Diseases. Nashville, Tennessee, USA.Objective: To systematically review and critically evaluate prediction models developed to predict tuberculosis (TB) treatment outcomes among adults with pulmonary TB. Design: Systematic review. Data sources: PubMed, Embase, Web of Science and Google Scholar were searched for studies published from 1 January 1995 to 9 January 2020. Study selection and data extraction: Studies that developed a model to predict pulmonary TB treatment outcomes were included. Study screening, data extraction and quality assessment were conducted independently by two reviewers. Study quality was evaluated using the Prediction model Risk Of Bias Assessment Tool. Data were synthesised with narrative review and in tables and figures. Results: 14 739 articles were identified, 536 underwent full-text review and 33 studies presenting 37 prediction models were included. Model outcomes included death (n=16, 43%), treatment failure (n=6, 16%), default (n=6, 16%) or a composite outcome (n=9, 25%). Most models (n=30, 81%) measured discrimination (median c-statistic=0.75; IQR: 0.68-0.84), and 17 (46%) reported calibration, often the Hosmer-Lemeshow test (n=13). Nineteen (51%) models were internally validated, and six (16%) were externally validated. Eighteen (54%) studies mentioned missing data, and of those, half (n=9) used complete case analysis. The most common predictors included age, sex, extrapulmonary TB, body mass index, chest X-ray results, previous TB and HIV. Risk of bias varied across studies, but all studies had high risk of bias in their analysis. Conclusions: TB outcome prediction models are heterogeneous with disparate outcome definitions, predictors and methodology. We do not recommend applying any in clinical settings without external validation, and encourage future researchers adhere to guidelines for developing and reporting of prediction models.EpidemiologyStatistics & research methodsTuberculosisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83099https://www.arca.fiocruz.br/bitstream/icict/46922/1/license.txt586c046dcfeef936e32f0323bb9a47c0MD51ORIGINALSystematic_Felipe_Ridolfi_etal_INI_2021.pdfSystematic_Felipe_Ridolfi_etal_INI_2021.pdfapplication/pdf1059928https://www.arca.fiocruz.br/bitstream/icict/46922/2/Systematic_Felipe_Ridolfi_etal_INI_2021.pdfac1cb7e7f5545724f9a57f6872eabea0MD52TEXTSystematic_Felipe_Ridolfi_etal_INI_2021.pdf.txtSystematic_Felipe_Ridolfi_etal_INI_2021.pdf.txtExtracted 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dc.title.pt_BR.fl_str_mv Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
title Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
spellingShingle Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
Peetluk, Lauren S.
Epidemiology
Statistics & research methods
Tuberculosis
title_short Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
title_full Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
title_fullStr Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
title_full_unstemmed Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
title_sort Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults
author Peetluk, Lauren S.
author_facet Peetluk, Lauren S.
Ridolfi, Felipe M.
Rebeiro, Peter F.
Liu, Dandan
Rolla, Valeria C.
Sterling, Timothy R.
author_role author
author2 Ridolfi, Felipe M.
Rebeiro, Peter F.
Liu, Dandan
Rolla, Valeria C.
Sterling, Timothy R.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Peetluk, Lauren S.
Ridolfi, Felipe M.
Rebeiro, Peter F.
Liu, Dandan
Rolla, Valeria C.
Sterling, Timothy R.
dc.subject.en.pt_BR.fl_str_mv Epidemiology
Statistics & research methods
Tuberculosis
topic Epidemiology
Statistics & research methods
Tuberculosis
description Vanderbilt University Medical Center. Division of Epidemiology. Nashville, Tennessee, USA.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-04-26T20:25:29Z
dc.date.available.fl_str_mv 2021-04-26T20:25:29Z
dc.date.issued.fl_str_mv 2021
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv PEETLUK, Lauren S. et al. Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults. BMJ open, v. 11, n. 3, p. 1-17, 2021
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/46922
dc.identifier.issn.pt_BR.fl_str_mv 2044-6055
dc.identifier.doi.none.fl_str_mv 10.1136/bmjopen-2020-044687
identifier_str_mv PEETLUK, Lauren S. et al. Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults. BMJ open, v. 11, n. 3, p. 1-17, 2021
2044-6055
10.1136/bmjopen-2020-044687
url https://www.arca.fiocruz.br/handle/icict/46922
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv BMJ
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dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
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bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/46922/1/license.txt
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