Evidence map›Paper›PMID 35273061›Full record

ArticleBMJ open2022

HIV viral load non-suppression and associated factors among pregnant and postpartum women in rural northeastern South Africa: a cross-sectional survey.

Nobubelo Kwanele Ngandu, Carl J Lombard, Thandiwe Elsie Mbira, Adrian Puren, Catriona Waitt, Andrew J Prendergast, Thorkild Tylleskär, Philippe Van de Perre, Ameena Ebrahim Goga

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  16. Revista Mocambicana de ciencias de saude · 2024
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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

9 authors at 6 institutions in 6 countries.

Nobubelo Kwanele NganduHIV Prevention Research Unit, South African Medical Research Council, Cape Town, South Africa nobubelo.ngandu@mrc.ac.za.ORCID 0000-0001-8883-3821
Carl J LombardDivision of Epidemiology and Biostatistics, University of Stellenbosch, Cape Town, South Africa.
Thandiwe Elsie MbiraHIV Prevention Research Unit, South African Medical Research Council, Cape Town, South Africa.
Adrian PurenCentre for HIV and STI, National Institute for Communicable Diseases, Johannesburg, South Africa.
Catriona WaittFaculty of Health and Life Sciences, Department of Pharmacology, University of Liverpool, Liverpool, UK.
Andrew J PrendergastBlizard Institute, Queen Mary University of London, London, UK.
Thorkild TylleskärCentre for International Health, Universitetet i Bergen, Bergen, Norway.
Philippe Van de PerrePathogenesis and Control of Chronic and Emerging Infections, University of Montpellier INSERM, Montpellier, France.
Ameena Ebrahim GogaHIV Prevention Research Unit, South African Medical Research Council, Cape Town, South Africa.
South African Medical Research Council · ZAInserm · FRNational Institute for Communicable DiseasesQueen Mary University of London · GBUniversity of Bergen · NOUniversity of Liverpool · GB

Funding

Wellcome TrustWellcome Trust 108065/Z/15/ZWellcome Trust 222075/Z/20/Z
6 · The paper itself

Abstract

objectivesWe aimed to measure the prevalence of maternal HIV viral load (VL) non-suppression and assess associated factors, to evaluate progress towards United Nations-AIDS (UNAIDS) targets.

designCross-sectional study.

settingThe eight largest community health centres of Ehlanzeni, a rural district in northeast South Africa.

participantsPregnant women living with HIV (WLHIV) in their third trimester and postpartum WLHIV and their biological infants, recruited equally across all stages of the first 24 months post partum, were included. A sample of 612 mothers participated from a target of 1000. PRIMARY OUTCOME MEASURES: The primary outcome was maternal VL (mVL) non-suppression (defined here as mVL >1000 copies/mL). We collected information on antiretroviral use, healthcare visits and sociodemographics through interviews and measured plasma mVL. Descriptive statistics, χ

resultsAll mothers (median age: 30 years) were on antiretroviral therapy (ART) and 24.9% were on ART ≤12 months. The prevalence of mVL non-suppression was 14.7% (95% CI: 11.3% to 19.0%), while 13.8% had low-level viraemia (50-1000 copies/mL). Most (68.9%) women had initiated breast feeding and 37.6% were currently breast feeding their infants. Being younger than 25 years (adjusted odds ratio (AOR): 2.6 (95% CI: 1.1 to 6.4)), on first-line ART (AOR: 2.3 (95% CI: 1.1 to 4.6)) and married/cohabiting (AOR: 1.9 (95% CI: 1.0 to 3.7)) were significantly associated with increased odds of mVL non-suppression.

conclusionsThe prevalence of mVL ≤1000 copies/mL of 85.3% among pregnant and postpartum WLHIV and attending public healthcare centres in this rural district is below the 2020 90-90-90 and 2030 95-95-95 UNAIDS targets. Given that low-level viraemia may also increase the risk of vertical HIV transmission, we recommend strengthened implementation of the new guidelines which include better ART options, improved ART regimen switching and mVL monitoring schedules, and intensified psychosocial support for younger women, while exploring district-level complementary interventions, to sustain VLs below 50 copies/mL among all women.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultAnti-Retroviral AgentsCross-Sectional StudiesFemaleHumansInfantPostpartum PeriodPregnancySouth AfricaViral LoadViremiaAnti-HIV AgentsAnti-Retroviral Agentscommunity child healthepidemiologyHIV & AIDS

Identifiers

PMID35273061
PMCPMC8915310
OpenAlexW4221095364

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.