Evidence map›Paper›PMID 29942417›Full record

ArticleThe Pan African medical journal2017

The impact of an unknown HIV serostatus on inpatient mortality.

Yoshan Moodley

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2017. 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
–field-weighted citation impact, top 82% 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, 2 citations in OpenAlex.

  1. Trial
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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

1 author at 1 institution in 1 country.

Yoshan MoodleyDiscipline of Anaesthesiology and Critical Care Medicine, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, South Africa.
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDetermining HIV serostatus is crucial for linking HIV-infected patients to appropriate care, which might reduce their risk of subsequent morbidity and mortality. A recent South African study demonstrated a potentially harmful association between an unknown HIV serostatus and rehospitalisation. The impact of an unknown HIV status on inpatient mortality has not yet been established in that setting, which formed the impetus for the current study.

methodsThis was an unmatched case-control analysis of adult patient data collected as part of a demographic survey at the Hlabisa Hospital, South Africa between October 2009 and February 2014. Cases were defined as patients who suffered inpatient mortality, while controls were patients who did not suffer inpatient mortality. A sample size of 92 cases and 276 controls was used in this study. Patient data related to age, gender, distance between referral clinic and the hospital, HIV serostatus (HIV-negative, HIV-positive or an unknown HIV serostatus) and comorbidity were analysed using recommended methods for unmatched case-control studies.

resultsWhen potential confounders were accounted for, we found an unknown HIV serostatus to be associated with an almost 8-fold increase in the odds of inpatient mortality when compared with patients who were known HIV-negative (Odds Ratio: 7.64, 95% Confidence Interval: 1.11-52.33, p = 0.038).

conclusionAn unknown HIV serostatus was independently associated with a higher odds of inpatient mortality. This finding highlights the potential benefit of adopting an "opt-out" approach to HIV counseling and testing. Further research on this topic is required.

Indexed as

HIV SeronegativityHospital MortalityAdultAIDS SerodiagnosisCase-Control StudiesFemaleHIV SeropositivityHumansMaleMiddle AgedSouth AfricaHIVhospital mortalityunknown serostatus

Identifiers

PMID29942417
PMCPMC6011002
OpenAlexW2774713335

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.