Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: de Almeida, Carlos Podalirio Borges, Couban, Rachel, Kallyth, Sun Makosso, Cabral, Vagner Kunz, Craigie, Samantha, Busse, Jason Walter, Silva, Denise Rossato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
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
_version_ 1782483361391968256
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
work_keys_str_mv AT dealmeidacarlospodalirioborges predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT coubanrachel predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT kallythsunmakosso predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT cabralvagnerkunz predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT craigiesamantha predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT bussejasonwalter predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies
AT silvadeniserossato predictorsofinhospitalmortalityamongpatientswithpulmonarytuberculosisaprotocolofsystematicreviewandmetaanalysisofobservationalstudies