Evidence map›Paper›PMID 37986978›Full record

ArticlemedRxiv : the preprint server for health sciences2023

HIV prevalence in transgender populations and cisgender men who have sex with men in sub-Saharan Africa 2010-2022: a meta-analysis.

Oliver Stevens, Rebecca L Anderson, Keith Sabin, Sonia Arias Garcia, Elizabeth Fearon, Kingsley Manda, Wame Dikobe, Trevor A Crowell, Leigh Tally, Lloyd Mulenga and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 5 countries.

Oliver StevensMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6842-9434
Rebecca L AndersonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Keith SabinData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Sonia Arias GarciaData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Elizabeth FearonUniversity College London, London, United Kingdom.
Kingsley MandaMalawi National Statistics Office, Zomba, Malawi.
Wame DikobeFHI360, Gaborone, Botswana.
Trevor A CrowellU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, USA.
Leigh TallyUS Centers for Disease Control and Prevention, Lusaka, Zambia.
Lloyd MulengaZambia Ministry of Health, Lusaka, Zambia.
Neena M PhilipICAP, Columbia University Mailman School of Public Health, New York, New York, USA.
Mathieu Maheu-GirouxDepartment of Epidemiology and Biostatistics, School of Population and Global Health, McGill University, Montréal, Canada.
Anne McIntyreUS Centers for Disease Control and Prevention (CDC), Center for Global Health, Division of Global HIV & TB, Atlanta, USA.
Wolfgang HladikUS Centers for Disease Control and Prevention (CDC), Center for Global Health, Division of Global HIV & TB, Atlanta, USA.
Jinkou ZhaoThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Mary MahyData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Jeffrey W EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Joint United Nations Programme on HIV/AIDS · CHImperial College London · GBCenters for Disease Control and Prevention · USCentre for Infectious Disease Research in Zambia · ZMGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHHenry M. Jackson Foundation · USMinistry of Health · ZMUniversity College London · GB

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
NIAID NIH HHS R01 AI136664
6 · The paper itself

Abstract

Introduction: The Global AIDS Strategy 2021-2026 calls for equitable and equal access to HIV prevention and treatment programmes for all populations to reduce HIV incidence and end HIV/AIDS as a public health threat by 2030. Transgender populations (TGP), including transmen (TGM) and transwomen (TGW) are populations that have been marginalised and are at high risk of HIV infection in sub-Saharan Africa (SSA). Limited surveillance data on HIV among TGP are available in the region to guide programmatic responses and policymaking. Surveillance data on cisgender men who have sex with men (cis-MSM) are comparatively abundant and may be used to infer TGP HIV prevalence. Methods: Data from key population surveys conducted in SSA between 2010-2022 were identified from existing databases and survey reports. Studies that collected HIV prevalence on both TGP and cis-MSM populations were analysed in a random effect meta-analysis to estimate the ratio of cis-MSM:TGW HIV prevalence. Results: Eighteen studies were identified encompassing 8,052 TGW and 19,492 cis-MSM. TGW HIV prevalence ranged from 0-71.6% and cis-MSM HIV prevalence from 0.14-55.7%. HIV prevalence in TGW was 50% higher than in cis-MSM (prevalence ratio (PR) 1.50 95% CI 1.26-1.79). TGW HIV prevalence was highly correlated with year/province-matched cis-MSM HIV prevalence (R Conclusion: Transgender women experience a significantly greater HIV burden than cis-MSM in SSA. Bio-behavioural surveys designed and powered to measure determinants of HIV infection, treatment coverage, and risk behaviours among transgender populations, distinct from cis-MSM, will improve understanding of HIV risk and vulnerabilities among TGP and support improved programmes.

Indexed as

AfricaHIV-1HomosexualityMaleSexual and Gender MinoritiesTransgender persons

Identifiers

PMID37986978
PMCPMC10659462
OpenAlexW4388519345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.