Evidence map›Paper›PMID 36543946›Full record

SynthesisAIDS and behavior2023

The Prevalence of HIV Infection in Minority Indigenous Populations of the South-East Asia and Western Pacific Regions: A Systematic Review and Meta-analysis.

Beth Gilmour, Kefyalew A Alene, Kendalem A Atalell, Archie C A Clements

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in AIDS and behavior, 2023. 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
0.5field-weighted citation impact, top 35% 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, 6 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Beth GilmourFaculty of Health Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia. beth.gilmour@postgrad.curtin.edu.au.ORCID http://orcid.org/0000-0003-4416-5969
Kefyalew A AleneFaculty of Health Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia.
Kendalem A AtalellCollege of Medicine and Health Sciences, University of Gondar, Gondar, Amhara, Ethiopia.
Archie C A ClementsFaculty of Health Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia.
The Kids Research Institute Australia · AUCurtin University · AUUniversity of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A random effects meta-analysis was used to estimate the pooled prevalence of HIV infection within minority indigenous populations of the South-East Asia (SEAR) and Western Pacific Regions (WPR). Sub-group analyses were conducted, and the sources of heterogeneity explored through meta-regression. The majority of studies were undertaken in high HIV risk subpopulations. There was a paucity of data for many countries with data from China representing 70% of the comparative studies. Within minority indigenous populations the pooled prevalence of HIV infection was 13.7% (95% CI 8.9, 19) and 8.4% (95% CI 6.3, 10.7) among other populations. The prevalence differential between populations was significant in the WPR (adjusted odds ratio 1.1, 95% CI 1.0, 1.2). Across both regions, in contrast to other populations, minority indigenous did not experience any significant reduction in HIV prevalence over the years of data collection. There was large heterogeneity in the prevalence of HIV across studies.

Indexed as

HIV InfectionsChinaHumansMinority GroupsPrevalenceRisk FactorsHIV-AIDSIndigenous populationSouth-East AsiaSystematic reviewWestern Pacific

Identifiers

PMID36543946
PMCPMC9771782
OpenAlexW4312129412

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.