Evidence map›Paper›PMID 40753992›Full record

SynthesisThe lancet. HIV2025

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

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The lancet. HIV, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Bone health across the lifespan in African populations affected by HIV.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
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  10. Observational
  11. Observational
  12. Review
  13. The time is now to use the tools we have to end AIDS in children.Journal of the International AIDS Society · 2025
    Review
  14. Article
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, UK. Electronic address: mwalters@ic.ac.uk.
Michelle A BulterysDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA.
Michael BarryDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Sarah HicksDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Ann RicheyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Margalit SabinSimmons University, Boston, MA, USA.
Diana LoudenUniversity Libraries, University of Washington, Seattle, WA, USA.
Mary MahyData for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland.
John StoverCenter for Modeling, Planning, and Policy Analysis, Avenir Health, Glastonbury, CT, USA.
Robert GlaubiusCenter for Modeling, Planning, and Policy Analysis, Avenir Health, Glastonbury, CT, USA.
Hmwe H KyuDepartment of Health Metrics Sciences, School of Medicine, and Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Marie-Claude BoilyMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Lynne MofensonResearch Program, Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA.
Kathleen PowisDepartment of Internal Medicine and Department of Paediatrics, Massachusetts General Hospital, Boston, MA, USA; Department of Immunology and Infectious Diseases, Harvard T H Chan School of Public Health, Boston, MA, USA.
Jeffrey W Imai-EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.

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

backgroundEliminating HIV vertical transmission is a global priority and monitored by estimating paediatric HIV infections with the UNAIDS-supported Spectrum AIDS Impact Module (Spectrum-AIM). Recent innovations in antiretroviral therapy (ART) service-delivery models and first-line regimens aimed to reduce vertical transmission probabilities. We did a systematic review and meta-analysis to estimate vertical transmission probabilities by maternal immunological and treatment status.

methodsIn this systematic review and meta-regression, we combined an updated systematic review with previous data in meta-regression models to estimate vertical transmission probabilities and determinants. We searched PubMed, Embase, the Global Health Database, WHO Global Index Medicus, CINAHL Complete, and Cochrane CENTRAL for peer-reviewed English-language studies from all regions published between Jan 1, 2018 and Feb 8, 2024, with search term domains mentioning "HIV", "transmission", "perinatal", and "breastfeeding periods", and "infants born to women living with HIV" or related terms from randomised trials, cohort studies, or observational studies. Four meta-regression models estimated vertical transmission 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.

findingsOf 12 588 potential studies, we identified 24 new studies, which along with the 86 from previous reviews yielded 110 total studies included in meta-regression analysis. For women not receiving ART, higher CD4 count was associated with lower odds of perinatal vertical transmission (odds ratio [OR] 0·80, 95% CI 0·75-0·84, per 100 cells per μL increase). For pregnant women on ART, each additional week on ART before delivery reduced odds of vertical transmission by 5·6% (95% CI 4·2-7·0). The OR of perinatal vertical transmission among pregnant women initiating integrase inhibitor-based ART 20 weeks before delivery was 0·36 (0·14-0·94) compared with those initiating non-nucleoside reverse transcriptase inhibitor (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.

interpretationVertical transmission probability varies by maternal immunological 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 vertical transmission outcomes.

fundingNational Institutes of Health, UNAIDS, and UK Research and Innovation.

Indexed as

HIV InfectionsInfectious Disease Transmission, VerticalPregnancy Complications, InfectiousAnti-HIV AgentsBreast FeedingFemaleHumansInfantInfant, NewbornPregnancyProbabilityAnti-HIV Agents

Identifiers

PMID40753992
PMCPMC12720210

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.