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Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies
INTRODUCTION: Tuberculosis (TB) continues to be a major public health issue worldwide, with 1.4 million deaths occurring annually. There is uncertainty regarding which factors are associated with in-hospital mortality among patients with pulmonary TB. This knowledge gap complicates efforts to identi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168525/ https://www.ncbi.nlm.nih.gov/pubmed/27884842 http://dx.doi.org/10.1136/bmjopen-2016-011957 |
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author | de Almeida, Carlos Podalirio Borges Couban, Rachel Kallyth, Sun Makosso Cabral, Vagner Kunz Craigie, Samantha Busse, Jason Walter Silva, Denise Rossato |
author_facet | de Almeida, Carlos Podalirio Borges Couban, Rachel Kallyth, Sun Makosso Cabral, Vagner Kunz Craigie, Samantha Busse, Jason Walter Silva, Denise Rossato |
author_sort | de Almeida, Carlos Podalirio Borges |
collection | PubMed |
description | INTRODUCTION: Tuberculosis (TB) continues to be a major public health issue worldwide, with 1.4 million deaths occurring annually. There is uncertainty regarding which factors are associated with in-hospital mortality among patients with pulmonary TB. This knowledge gap complicates efforts to identify and improve the management of those individuals with TB at greatest risk of death. The aim of this systematic review and meta-analysis is to establish predictors of in-hospital mortality among patients with pulmonary TB to enhance the evidence base for public policy. METHODS AND ANALYSIS: Studies will be identified by a MEDLINE, EMBASE and Global Health search. Eligible studies will be cohort and case–control studies that report predictors or risk factors for in-hospital mortality among patients with pulmonary TB and an adjusted analysis to explore factors associated with in-hospital mortality. We will use the Grading of Recommendations Assessment, Development and Evaluation approach to summarise the findings of some reported predictors. Teams of 2 reviewers will screen the titles and abstracts of all citations identified in our search, independently and in duplicate, extract data, and assess scientific quality using standardised forms quality assessment and tools tailored. We will pool all factors that were assessed for an association with mortality that were reported by >1 study, and presented the OR and the associated 95% CI. When studies provided the measure of association as a relative risk (RR), we will convert the RR to OR using the formula provided by Wang. For binary data, we will calculate a pooled OR, with an associated 95% CI. ETHICS AND DISSEMINATION: This study is based on published data, and therefore ethical approval is not a requirement. Findings will be disseminated through publication in peer-reviewed journals and conference presentations at relevant conferences. TRIAL REGISTRATION NUMBER: CRD42015025755. |
format | Online Article Text |
id | pubmed-5168525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51685252016-12-22 Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies de Almeida, Carlos Podalirio Borges Couban, Rachel Kallyth, Sun Makosso Cabral, Vagner Kunz Craigie, Samantha Busse, Jason Walter Silva, Denise Rossato BMJ Open Research Methods INTRODUCTION: Tuberculosis (TB) continues to be a major public health issue worldwide, with 1.4 million deaths occurring annually. There is uncertainty regarding which factors are associated with in-hospital mortality among patients with pulmonary TB. This knowledge gap complicates efforts to identify and improve the management of those individuals with TB at greatest risk of death. The aim of this systematic review and meta-analysis is to establish predictors of in-hospital mortality among patients with pulmonary TB to enhance the evidence base for public policy. METHODS AND ANALYSIS: Studies will be identified by a MEDLINE, EMBASE and Global Health search. Eligible studies will be cohort and case–control studies that report predictors or risk factors for in-hospital mortality among patients with pulmonary TB and an adjusted analysis to explore factors associated with in-hospital mortality. We will use the Grading of Recommendations Assessment, Development and Evaluation approach to summarise the findings of some reported predictors. Teams of 2 reviewers will screen the titles and abstracts of all citations identified in our search, independently and in duplicate, extract data, and assess scientific quality using standardised forms quality assessment and tools tailored. We will pool all factors that were assessed for an association with mortality that were reported by >1 study, and presented the OR and the associated 95% CI. When studies provided the measure of association as a relative risk (RR), we will convert the RR to OR using the formula provided by Wang. For binary data, we will calculate a pooled OR, with an associated 95% CI. ETHICS AND DISSEMINATION: This study is based on published data, and therefore ethical approval is not a requirement. Findings will be disseminated through publication in peer-reviewed journals and conference presentations at relevant conferences. TRIAL REGISTRATION NUMBER: CRD42015025755. BMJ Publishing Group 2016-11-24 /pmc/articles/PMC5168525/ /pubmed/27884842 http://dx.doi.org/10.1136/bmjopen-2016-011957 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Research Methods de Almeida, Carlos Podalirio Borges Couban, Rachel Kallyth, Sun Makosso Cabral, Vagner Kunz Craigie, Samantha Busse, Jason Walter Silva, Denise Rossato Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title | Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title_full | Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title_fullStr | Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title_full_unstemmed | Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title_short | Predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
title_sort | predictors of in-hospital mortality among patients with pulmonary tuberculosis: a protocol of systematic review and meta-analysis of observational studies |
topic | Research Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168525/ https://www.ncbi.nlm.nih.gov/pubmed/27884842 http://dx.doi.org/10.1136/bmjopen-2016-011957 |
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