Evidence map›Paper›PMID 37575094›Full record

SynthesisFrontiers in public health2023

Global associations of key populations with HIV-1 recombinants: a systematic review, global survey, and individual participant data meta-analysis.

Nkazi Nchinda, Ramyiadarsini Elangovan, Jason Yun, Leslie Dickson-Tetteh, Shona Kirtley, Joris Hemelaar, WHO-UNAIDS Network for HIV Isolation and Characterisation

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Nkazi NchindaNuffield Department of Population Health, Infectious Disease Epidemiology Unit, National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Ramyiadarsini ElangovanNuffield Department of Population Health, Infectious Disease Epidemiology Unit, National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Jason YunNuffield Department of Population Health, Infectious Disease Epidemiology Unit, National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Leslie Dickson-TettehNuffield Department of Population Health, Infectious Disease Epidemiology Unit, National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Shona KirtleyCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, United Kingdom.
Joris HemelaarNuffield Department of Population Health, Infectious Disease Epidemiology Unit, National Perinatal Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
WHO-UNAIDS Network for HIV Isolation and Characterisation
University of Oxford · GBNuffield Orthopaedic Centre · GB

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Medical Research Council MC_UU_00033/1NIAID NIH HHS R01 AI087520
6 · The paper itself

Abstract

Introduction: Global HIV infections due to HIV-1 recombinants are increasing and impede prevention and treatment efforts. Key populations suffer most new HIV infections, but their role in the spread of HIV-1 recombinants is unknown. We conducted a global analysis of the associations between key populations and HIV-1 recombinants. Methods: We searched PubMed, EMBASE, CINAHL, and Global Health for HIV-1 subtyping studies published from 1/1/1990 to 31/12/2015. Unpublished data was collected through a global survey. We included studies with HIV-1 subtyping data of key populations collected during 1990-2015. Key populations assessed were heterosexual people (HET), men who have sex with men (MSM), people who inject drugs (PWID), vertical transmissions (VERT), commercial sex workers (CSW), and transfusion-associated infections (BLOOD). Logistic regression was used to determine associations of key populations with HIV-1 recombinants. Subgroup analyses were performed for circulating recombinant forms (CRFs), unique recombinant forms (URFs), regions, and time periods. Results: Eight hundred and eighty five datasets including 77,284 participants from 83 countries were included. Globally, PWID were associated with the greatest odds of recombinants and CRFs (OR 2.6 [95% CI 2.46-2.74] and 2.99 [2.83-3.16]), compared to HET. CSW were associated with increased odds of recombinants and URFs (1.59 [1.44-1.75] and 3.61 [3.15-4.13]). VERT and BLOOD were associated with decreased odds of recombinants (0.58 [0.54-0.63] and 0.43 [0.33-0.56]). MSM were associated with increased odds of recombinants in 2010-2015 (1.43 [1.35-1.51]). Subgroup analyses supported our main findings. Discussion: As PWID, CSW, and MSM are associated with HIV-1 recombinants, increased preventative measures and HIV-1 molecular surveillance are crucial within these key populations. Systematic review registration: PROSPERO [CRD42017067164].

Indexed as

HIV-1HIV InfectionsSexual and Gender MinoritiesSubstance Abuse, IntravenousHomosexuality, MaleHumansMaleCRFHIVkey populationsmolecular epidemiologyrecombinantURF

Identifiers

PMID37575094
PMCPMC10420084
OpenAlexW4385462895

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.