Evidence map›Paper›PMID 28061839›Full record

ArticleBMC public health2017

Risk factors for mortality in TB patients: a 10-year electronic record review in a South African province.

J Christo Heunis, N Gladys Kigozi, Perpetual Chikobvu, Sonja Botha, Hcj Dingie van Rensburg

Abstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

J Christo HeunisCentre for Health Systems Research and Development, University of the Free State, P.O. Box 399, Bloemfontein, 9300, South Africa. heunisj@ufs.ac.za.
N Gladys KigoziCentre for Health Systems Research and Development, University of the Free State, P.O. Box 399, Bloemfontein, 9300, South Africa.
Perpetual ChikobvuFree State Department of Health, P.O. Box 277, Bloemfontein, 9300, South Africa.
Sonja BothaJPS Africa, Postnet Suite 132, Private Bag X14, Brooklyn, Pretoria, 0011, South Africa.
Hcj Dingie van RensburgCentre for Health Systems Research and Development, University of the Free State, P.O. Box 399, Bloemfontein, 9300, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 1990, reduction of tuberculosis (TB) mortality has been lower in South Africa than in other high-burden countries in Africa. This research investigated the influence of routinely captured demographic and clinical or programme variables on death in TB patients in the Free State Province.

methodsA retrospective review of case information captured in the Electronic TB register (ETR.net) over the years 2003 to 2012 was conducted. Extracted data were subjected to descriptive and logistic regression analyses. The outcome variable was defined as all registered TB cases with 'died' as the recorded outcome. The variables associated with increased or decreased odds of dying in TB patients were established. The univariate and adjusted odds ratios (OR and AOR) together with their corresponding 95% confidence intervals (CI) were estimated, taking the clustering effect of the districts into account.

resultsOf the 190,472 TB cases included in the analysis, 30,991 (16.3%) had 'died' as the recorded treatment outcome. The proportion of TB patients that died increased from 15.1% in 2003 to 17.8% in 2009, before declining to 15.4% in 2012. The odds of dying was incrementally higher in the older age groups: 8-17 years (AOR: 2.0; CI: 1.5-2.7), 18-49 years (AOR: 5.8; CI: 4.0-8.4), 50-64 years (AOR: 7.7; CI: 4.6-12.7), and ≥65 years (AOR: 14.4; CI: 10.3-20.2). Other factors associated with increased odds of mortality included: HIV co-infection (males - AOR: 2.4; CI: 2.1-2.8; females - AOR: 1.9; CI: 1.7-2.1) or unknown HIV status (males - AOR: 2.8; CI: 2.5-3.1; females - AOR: 2.4; CI: 2.2-2.6), having a negative (AOR: 1.4; CI: 1.3-1.6) or a missing (AOR: 2.1; CI: 1.4-3.2) pre-treatment sputum smear result, and being a retreatment case (AOR: 1.3; CI: 1.2-1.4).

conclusionsAlthough mortality in TB patients in the Free State has been falling since 2009, it remained high at more than 15% in 2012. Appropriately targeted treatment and care for the identified high-risk groups could be considered.

Indexed as

AdolescentAdultAgedAge DistributionCoinfectionElectronic Health RecordsFemaleHIV InfectionsHumansMaleMiddle AgedOdds RatioRetrospective StudiesRisk FactorsSex DistributionSouth AfricaFree State ProvinceMortalityRisk factorsSouth AfricaTuberculosis

Identifiers

PMID28061839
PMCPMC5217308

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Registered trials

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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.