Evidence map›Paper›PMID 39677422›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Probability of vertical HIV transmission: A systematic review and meta-regression.

Magdalene K Walters, Michelle A Bulterys, Michael Barry, Sarah Hicks, Ann Richey, Margalit Sabin, Diana Louden, Mary Mahy, John Stover, Robert Glaubius and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Magdalene K WaltersMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom (Magdalene K. Walters MPH, Prof Marie-Claude Boily PhD, Jeffrey W. Imai-Eaton PhD).
Michelle A BulterysDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA (Michelle A. Bulterys PhD, Michael Barry PhD, Sarah Hicks MPH, Ann Richey MPH).
Michael BarryDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA (Michelle A. Bulterys PhD, Michael Barry PhD, Sarah Hicks MPH, Ann Richey MPH).
Sarah HicksDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA (Michelle A. Bulterys PhD, Michael Barry PhD, Sarah Hicks MPH, Ann Richey MPH).
Ann RicheyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA (Michelle A. Bulterys PhD, Michael Barry PhD, Sarah Hicks MPH, Ann Richey MPH).
Margalit SabinSimmons University, Boston, MA, USA (Margalit Sabin BA).
Diana LoudenUniversity Libraries, University of Washington, Seattle, WA, USA (Diana Louden MLib).
Mary MahyData for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland (Mary Mahy ScD).
John StoverCenter for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT, USA (John Stover MA, Robert Glaubius PhD).
Robert GlaubiusCenter for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT, USA (John Stover MA, Robert Glaubius PhD).
Hmwe KyuDepartment of Health Metrics Sciences, School of Medicine, and Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA (Hmwe Kyu PhD).
Marie-Claude BoilyMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom (Magdalene K. Walters MPH, Prof Marie-Claude Boily PhD, Jeffrey W. Imai-Eaton PhD).
Lynne MofensonResearch Program, Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA (Lynne Mofenson MD).
Kathleen PowisDepartments of Internal Medicine and Paediatrics, Massachusetts General Hospital, Boston, MA, USA (Kathleen Powis MD).
Jeffrey W Imai-EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom (Magdalene K. Walters MPH, Prof Marie-Claude Boily PhD, Jeffrey W. Imai-Eaton PhD).

Funding

VENEREAL DISEASET32AI007140 · NIAID · UNIVERSITY OF WASHINGTON · PI Julia Cook Dombrowski · 1985 to 2026
$19.4M
Quantification of HIV burden and the biomedical, structural, and behavioral factors influencing HIV/AIDS among children and young adolescentsR01AI152721 · NIAID · UNIVERSITY OF WASHINGTON · PI KYU, HMWE HMWE · 2021 to 2025
$3.6M
Effects of caregiver interactions, youth characteristics, and counseling on retention in care among youth living with HIVF31HD116617 · NICHD · UNIVERSITY OF WASHINGTON · PI HICKS, SARAH · 2024 to 2024
$49k
NIAID NIH HHS R01 AI152721NIAID NIH HHS T32 AI007140NICHD NIH HHS F31 HD116617Wellcome Trust
6 · The paper itself

Abstract

Background: Eliminating HIV vertical transmission (VT) is a global priority and monitored by estimating paediatric HIV infections with the Joint United Nations Programme on HIV/AIDS supported Spectrum AIDS Impact Module (Spectrum-AIM). Recent innovations in antiretroviral therapy (ART) service delivery models and first-line regimens aimed to reduce VT probabilities. We conducted a systematic review and meta-analysis to estimate VT probabilities by maternal immunologic and treatment status. Methods: We combined an updated systematic review with previous data in meta-regression models to estimate VT probabilities and determinants. We searched multiple databases for peer-reviewed English-language studies from all regions published between January 2018 and February 2024 with VT data stratified by maternal immunologic or treatment status from randomized trials, cohort, or observational studies. Four meta-regression models estimated VT probabilities. We assessed model sensitivity and compared estimates to Spectrum-AIM's previous results. Finally, we fit a meta-regression model to assess the association of ART class and initiation timing on viral load suppression (VLS) at delivery. Findings: The updated review identified 24 new studies, yielding 110 total studies included in meta-regression analysis. For women not receiving ART, higher CD4 was associated with lower odds of perinatal VT (odds ratio [OR] 0.80 (95% CI: 0.75-0.84) per 100 CD4 cells/μL increase). For pregnant women on ART, each additional week on ART before delivery reduced odds of VT by 5.6% (3.2%-7.0%). The odds ratio of perinatal VT among pregnant women initiating integrase inhibitor-based ART 20 weeks pre-delivery was 0.36 (0.14-0.94) compared to those initiating non-nucleoside reverse transcriptase inhibitors (NNRTI)-based ART. This association was confounded by study region. Odds of VLS were lower when ART was initiated late in pregnancy (OR: 0.37 (0.21-0.68) for the reference regimen (NNRTI)), without significant difference by ART regimen. Interpretation: VT probability varies by maternal immunologic stage, treatment regimen, and timing of treatment initiation. These estimates have been incorporated into Spectrum-AIM for UNAIDS 2025 HIV estimates. Earlier ART initiation is associated with higher odds of VLS at delivery. Further evidence is needed on the effects of recent ART innovations on VT outcomes. Funding: NIH, UNAIDS, and UKRI.

Identifiers

PMID39677422
PMCPMC11643157

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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.