Evidence map›Paper›PMID 26448780›Full record

ArticleAIDS research and therapy2015

Independent predictors of tuberculosis mortality in a high HIV prevalence setting: a retrospective cohort study.

Dominique J Pepper, Michael Schomaker, Robert J Wilkinson, Virginia de Azevedo, Gary Maartens

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Article in AIDS research and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  14. Contact tracing is associated with treatment success of index tuberculosis cases in Uganda.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Dominique J PepperDepartment of Medicine, University of Cape Town, Anzio Road, Cape Town, 7925 South Africa ; Critical Care Medicine Department, National Institutes of Health, 10 Center Drive, Bethesda, USA.
Michael SchomakerCentre for Infectious Disease Epidemiology and Research, University of Cape Town, Anzio Road, Cape Town, 7925 South Africa.
Robert J WilkinsonDepartment of Medicine, University of Cape Town, Anzio Road, Cape Town, 7925 South Africa ; Clinical Infectious Diseases Research Initiative, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa ; Department of Medicine, Imperial College, London, W2 1PG UK.
Virginia de AzevedoCity Health, Cape Town, South Africa.
Gary MaartensDepartment of Medicine, University of Cape Town, Anzio Road, Cape Town, 7925 South Africa ; Division of Pharmacology, Groote Schuur Hospital, Anzio Road, Cape Town, 7925 South Africa.

Funding

Wellcome Trust 104803
6 · The paper itself

Abstract

backgroundIdentifying those at increased risk of death during TB treatment is a priority in resource-constrained settings. We performed this study to determine predictors of mortality during TB treatment.

methodsWe performed a retrospective analysis of a TB surveillance population in a high HIV prevalence area that was recorded in ETR.net (Electronic Tuberculosis Register). Adult TB cases initiated TB treatment from 2007 through 2009 in Khayelitsha, South Africa. Cox proportional hazards models were used to identify risk factors for death (after multiple imputations for missing data). Model selection was performed using Akaike's Information Criterion to obtain the most relevant predictors of death.

resultsOf 16,209 adult TB cases, 851 (5.3 %) died during TB treatment. In all TB cases, advancing age, co-infection with HIV, a prior history of TB and the presence of both pulmonary and extra-pulmonary TB were independently associated with an increasing hazard of death. In HIV-infected TB cases, advancing age and female gender were independently associated with an increasing hazard of death. Increasing CD4 counts and antiretroviral treatment during TB treatment were protective against death. In HIV-uninfected TB cases, advancing age was independently associated with death, whereas smear-positive disease was protective.

conclusionWe identified several independent predictors of death during TB treatment in resource-constrained settings. Our findings inform resource-constrained settings about certain subgroups of TB patients that should be targeted to improve mortality during TB treatment.

Indexed as

HIVMortalityMultivariate analysisPredictorsTuberculosis

Identifiers

PMID26448780
PMCPMC4596495

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.