Evidence map›Paper›PMID 25006526›Full record

ArticleISRN AIDS2014

Understanding the Profile of Tuberculosis and Human Immunodeficiency Virus Coinfection: Insights from Expanded HIV Surveillance at a Tuberculosis Facility in Durban, South Africa.

Rubeshan Perumal, Nesri Padayatchi, Kogieleum Naidoo, Stephen Knight

Open access · diamondAbstract read
In one paragraph

Article in ISRN AIDS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Rubeshan PerumalCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban 4000, South Africa.
Nesri PadayatchiCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban 4000, South Africa.
Kogieleum NaidooCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban 4000, South Africa.
Stephen KnightDepartment of Public Health Medicine, University of KwaZulu-Natal, Durban 4000, South Africa.
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Expanded HIV surveillance in TB patients forms part of the World Health Organization framework for strategic collaborative activity. Surveillance helps understand the epidemiology of the local dual epidemic and enables design of a tailored response to these challenges. Methods. We conducted an observational, cross-sectional study of anonymous unlinked HIV testing for 741 consecutive TB suspects attending an urban TB facility during a seven-week period in 2008. Results. A total of 512 patients were found to have TB. The mean age was 35.7 years, and 63% were male. The prevalence of HIV was 72.2% (95% CI: 68.2-75.9) in all TB cases, 69.8% (95% CI: 65.3-74.2) in pulmonary tuberculosis (PTB), 81.6% (95% CI: 72.9-90.3) in extrapulmonary disease, and 66.8% (95% CI: 60.7-72.9) in those without TB disease. HIV prevalence in TB patients was higher in females than males and in younger age groups (18-29 years). The sex ratio of PTB patients correlated with the sex ratio of the prevalence of HIV in the respective age groups (P < 0.05). Conclusion. The use of a rapid HIV test performed on sputum anonymously provides an opportunity for HIV surveillance in this high-burdened setting, which has the potential to lend valuable insight into the coepidemics.

Identifiers

PMID25006526
PMCPMC4004112
OpenAlexW1999147397

What OpenQuestion holds

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LicenceCC BY
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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.