Evidence map›Paper›PMID 40652949›Full record

SynthesisLancet (London, England)2025

Estimating the effect of maternal viral load on perinatal and postnatal HIV transmission: a systematic review and meta-analysis.

Caitlin M Dugdale, Ogochukwu Ufio, John Giardina, Fatma Shebl, Elif Coskun, Eden Pletner, Pamela R Torola, Duru Cosar, Roger Shapiro, Maria Kim and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Lancet (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

12 authors.

Caitlin M DugdaleMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: cdugdale@mgh.harvard.edu.
Ogochukwu UfioMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
John GiardinaMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Fatma SheblMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Elif CoskunMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Eden PletnerMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Pamela R TorolaMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Duru CosarMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.
Roger ShapiroHarvard Medical School, Boston, MA, USA; Department of Immunology and Infectious Diseases, Harvard T H Chan School of Public Health, Boston, MA, USA; Botswana Harvard Health Partnership, Gaborone, Botswana.
Maria KimBaylor College of Medicine Children's Foundation, Lilongwe, Malawi.
Lynne MofensonResearch Program, Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA.
Andrea L CiaranelloMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Reaching for the end of pediatric AIDS: Modeling strategies to strengthen the maternal-child HIV care continuum and eliminate vertical HIV transmission.R37HD079214 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI Andrea Lynne Ciaranello · 2024 to 2026
$3.0M
VITAL Start (Video-intervention to Inspire Treatment Adherence for Life): Brief facility based video intervention to improve retention and adherence to ART among pregnant and breastfeeding womenR01MH115793 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI AHMED, SAEED · 2018 to 2022
$2.6M
Expansion of research and mentoring to improve birth outcomes and treatment outcomes among HIV-affected children in BotswanaK24AI131924 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Roger L Shapiro · 2018 to 2026
$1.6M
Modeling the Effects of HIV, Chlamydia, and Gonorrhea in Mother-Infant Pairs in Botswana.K08HD101342 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI DUGDALE, CAITLIN · 2020 to 2024
$897k
NIAID NIH HHS K24 AI131924NIAID NIH HHS T32 AI007433NICHD NIH HHS K08 HD101342NICHD NIH HHS R37 HD079214NIMH NIH HHS R01 MH115793
6 · The paper itself

Abstract

backgroundAlthough a growing body of evidence supports zero risk of sexual HIV transmission from a person with sustained virological suppression, known as U=U (undetectable equals untransmittable), data have been insufficient to determine whether this is also true for vertical HIV transmission. We conducted a systematic review and meta-analysis to quantify vertical transmission risk by maternal HIV viral load (mHVL) and to evaluate the applicability of U=U to perinatal and postnatal HIV transmission.

methodsIn this systematic review and meta-analysis, we searched PubMed, Embase, Web of Science, Cochrane Library, Cumulative Index of Nursing and Allied Health Literature, the WHO Global Health Library, and abstracts from the International AIDS Society Conference and the Conference on Retroviruses and Opportunistic Infections (2016-24) for studies published from Jan 1, 1989, to Dec 31, 2024, reporting the relationship between mHVL near birth (to estimate perinatal transmission risk by 6 weeks) or during breastfeeding (to estimate monthly postnatal transmission risk by mHVL within the past 6 months) and vertical transmission. We pooled risks of perinatal and postnatal transmission across prespecified mHVL categories. We also conducted comparative analyses to determine the adjusted relative risk (aRR) of transmission by mHVL using Poisson meta-regression. The protocol for this analysis is registered on the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019146768).

findings147 studies were included in the analysis; 138 studies contributed to perinatal analyses and 13 studies contributed to postnatal analyses. Data on 82 723 mother-child pairs were included across all analyses. Pooled perinatal transmission risks were 0·2% (95% CI 0·2-0·3) with a mHVL of <50 copies per mL, 1·3% (1·0-1·7) with 50-999 copies per mL, and 5·1% (2·6-7·9) with ≥1000 copies per mL. aRRs of perinatal transmission were 6·3 (3·9-10·3) with a mHVL of 50-999 copies per mL and 22·5 (13·9-36·5) with ≥1000 copies per mL versus <50 copies per mL. In subgroup analyses, in five studies reporting on 4675 women receiving pre-conception antiretroviral therapy (ART) with a mHVL of <50 copies per mL near birth, there were zero (0%, 0·0-0·1) perinatal transmissions. Monthly postnatal transmission risks were 0·1% (0·0-0·4) with recent mHVL <50 copies per mL and 0·5% (0·1-1·8) with a mHVL of ≥50 copies per mL.

interpretationPerinatal transmission with a mHVL of <50 copies per mL is ≤0·2% overall. Zero transmissions were observed among women receiving ART before pregnancy with a mHVL of <50 copies per mL near birth, supporting U=U in pregnancy and birth. Postnatal transmission was very low-but not zero-among women with a recent mHVL of <50 copies per mL. Current data, largely from studies lacking frequent mHVL monitoring or modern first-line ART regimens, are insufficient to assess U=U during breastfeeding.

fundingNational Institutes of Health, WHO, and Massachusetts General Hospital.

Indexed as

HIV InfectionsInfectious Disease Transmission, VerticalPregnancy Complications, InfectiousViral LoadBreast FeedingFemaleHumansInfant, NewbornPregnancy

Identifiers

PMID40652949
PMCPMC12262163

What OpenQuestion holds

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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.