Evidence map›Paper›PMID 33227254›Full record

ArticleThe Lancet. Global health2021

Cost-effectiveness of dual maternal HIV and syphilis testing strategies in high and low HIV prevalence countries: a modelling study.

Patricia J Rodriguez, D Allen Roberts, Julianne Meisner, Monisha Sharma, Morkor Newman Owiredu, Bertha Gomez, Maeve B Mello, Alexey Bobrik, Arkadii Vodianyk, Andrew Storey and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  7. The Global Syphilis Epidemic: Turning the Tide.Sexually transmitted diseases · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 8 institutions in 7 countries.

Patricia J RodriguezThe Comparative Health Outcomes Policy & Economics Institute, University of Washington, Seattle, WA, USA.
D Allen RobertsDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Julianne MeisnerDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA.
Morkor Newman OwireduGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland.
Bertha GomezPan American Health Organization and WHO, Colombia Office, Bogotá DC, Colombia.
Maeve B MelloDepartment of Communicable Diseases and Environmental Determinants of Health, Pan American Health Organization and WHO, Washington DC, USA.
Alexey BobrikGlobal Fund to Fight AIDS, Tuberculosis and Malaria, Grand-Saconnex, Switzerland.
Arkadii VodianykDepartment of Infectious Diseases, Ukraine Country Office, WHO, Kiev, Ukraine.
Andrew StoreyMaternal and Neonatal Health, Clinton Health Access Initiative, Boston, MA, USA.
George GithukaMinistry of Health, Nairobi, Kenya.
Thato ChidarikireHIV Prevention Programmes, National Department of Health, Pretoria, South Africa.
Ruanne BarnabasDepartment of Global Health, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
Magdalena Barr-DichiaraGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland.
Muhammad S JamilGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland.
Rachel BaggaleyGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland.
Cheryl JohnsonGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland; Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Melanie M TaylorGlobal HIV, Hepatitis and Sexually Transmitted Infections Programme, WHO, Geneva, Switzerland; Division of Sexually Transmitted Diseases Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Alison L DrakeDepartment of Global Health, University of Washington, Seattle, WA, USA. Electronic address: adrake2@uw.edu.
University of Washington · USWorld Health Organization · CHWorld Health Organization Regional Office for the Americas · USClinton Health Access Initiative · USDepartment of Health · ZAGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHKyiv City Clinical Oncology Center · UAMinistry of Health · KE

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
University of Washington Health Services Research Training ProgramT32HS013853 · AHRQ · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J., WILLIAMS, EMILY CATERINA · 2003 to 2024
$6.9M
Designing an Intervention to Increase Men's Linkage to Care and Prevention after HIV Self-Testing in UgandaK01MH115789 · NIMH · UNIVERSITY OF WASHINGTON · PI SHARMA, MONISHA · 2018 to 2022
$876k
Optimizing repeat HIV testing during pregnancy and postpartum for PMTCTK01AI116298 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAKE, ALISON L · 2015 to 2019
$632k
AHRQ HHS T32 HS013853NIAID NIH HHS K01 AI116298NIAID NIH HHS P30 AI027757NIEHS NIH HHS T32 ES015459NIMH NIH HHS K01 MH115789World Health Organization 001
6 · The paper itself

Abstract

backgroundDual HIV and syphilis testing might help to prevent mother-to-child transmission (MTCT) of HIV and syphilis through increased case detection and treatment. We aimed to model and assess the cost-effectiveness of dual testing during antenatal care in four countries with varying HIV and syphilis prevalence.

methodsIn this modelling study, we developed Markov models of HIV and syphilis in pregnant women to estimate costs and infant health outcomes of maternal testing at the first antenatal care visit with individual HIV and syphilis tests (base case) and at the first antenatal care visit with a dual rapid diagnostic test (scenario one). We additionally evaluated retesting during late antenatal care and at delivery with either individual tests (scenario two) or a dual rapid diagnosis test (scenario three). We modelled four countries: South Africa, Kenya, Colombia, and Ukraine. Strategies with an incremental cost-effectiveness ratio (ICER) less than the country-specific cost-effectiveness threshold (US$500 in Kenya, $750 in South Africa, $3000 in Colombia, and $1000 in Ukraine) per disability-adjusted life-year averted were considered cost-effective.

findingsRoutinely offering testing at the first antenatal care visit with a dual rapid diagnosis test was cost-saving compared with the base case in all four countries (ICER: -$26 in Kenya,-$559 in South Africa, -$844 in Colombia, and -$454 in Ukraine). Retesting during late antenatal care with a dual rapid diagnostic test (scenario three) was cost-effective compared with scenario one in all four countries (ICER: $270 in Kenya, $260 in South Africa, $2207 in Colombia, and $205 in Ukraine).

interpretationIncorporating dual rapid diagnostic tests in antenatal care can be cost-saving across countries with varying HIV prevalence. Countries should consider incorporating dual HIV and syphilis rapid diagnostic tests as the first test in antenatal care to support efforts to eliminate MTCT of HIV and syphilis.

fundingWHO, US Agency for International Development, and the Bill & Melinda Gates Foundation.

Indexed as

AdultColombiaCost-Benefit AnalysisFemaleHIV InfectionsHumansInfectious Disease Transmission, VerticalKenyaMarkov ChainsModels, TheoreticalPregnancyPregnancy Complications, InfectiousPrenatal DiagnosisPrevalenceSouth AfricaSyphilis

Identifiers

PMID33227254
PMCPMC7783487
OpenAlexW3101906598

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.