Evidence map›Paper›PMID 31059528›Full record

ArticlePloS one2019

HIV-attributable causes of death in the medical ward at the Chris Hani Baragwanath Hospital, South Africa.

Andrew Black, Freddy Sitas, Trust Chibrawara, Zoe Gill, Mmamapudi Kubanje, Brian Williams

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Non-fermenter Gram-negative bacilli at a tertiary hospital, South Africa.Southern African journal of infectious diseases · 2023
    Article
  2. Article
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

6 authors at 3 institutions in 2 countries.

Andrew BlackDepartment of Internal Medicine, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-8232-4639
Freddy SitasCentre for Primary Health Care and Equity, School of Public Health and Community Medicine, University of New South Wales, Kensington, Australia.ORCID 0000-0001-9679-1481
Trust ChibrawaraSouth African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.ORCID 0000-0001-5544-4053
Zoe GillSouth African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.
Mmamapudi KubanjeSouth African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.
Brian WilliamsSouth African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.
Stellenbosch University · ZAThe University of Sydney · AUUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionData on the association between HIV infection and deaths from underlying medical conditions are needed to understand and assess the impact of HIV on mortality. We present data on mortality in the Chris Hani Baragwanath Hospital (CHBH) South Africa and analyse the relationship between each cause of death and HIV.

methodsFrom 2006 to 2009 data were collected on 15,725 deaths including age, sex, day of admittance and of death, HIV status, ART initiation and CD4+ cell counts. Causes of death associated with HIV were cases, causes of death not associated with HIV were controls. We calculate the odds-ratios (ORs) for being HIV-positive and for each AIDS related condition the disease-attributable fraction (DAF) and the population-attributable fraction (PAF) due to HIV for cases relative to controls.

resultsAmong those that died, the prevalence of HIV was 61% and of acquired immune deficiency syndrome (AIDS) related conditions was 69%. The HIV-attributable fraction was 36% in the whole sample and 60% in those that were HIV-positive. Cryptococcosis, Kaposi's sarcoma and Pneumocystis jirovecii, TB, gastroenteritis and anaemia were highly predictive of HIV with odds ratios for being HIV-positive ranging from 8 to 124, while genito-urinary conditions, meningitis, other respiratory conditions and sepsis, lymphoma and conditions of skin and bone were significantly associated with HIV with odds ratios for being HIV-positive ranging from 3 to 8. Most of the deaths attributable to HIV were among those dying of TB or of other respiratory conditions.

conclusionsThe high prevalence of HIV among those that died, peaking at 70% in those aged 30 years but still 7% in those aged 80 years, demonstrates the impact of the HIV epidemic on adult mortality and on hospital services and the extent to which early anti-retroviral treatment would have reduced the burden of both. These data make it possible to better assess mortality and morbidity due to HIV in this still high prevalence setting and, in particular, to identify those causes of death that are most strongly associated with HIV.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overAge FactorsCase-Control StudiesCause of DeathFemaleHIV InfectionsHumansMaleMiddle AgedOdds RatioPrevalenceRisk FactorsSouth Africa

Identifiers

PMID31059528
PMCPMC6502348
OpenAlexW2950964154

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.