Evidence map›Paper›PMID 30938164›Full record

ArticleAIDS research and human retroviruses2019

Evaluation of the Performance of Three Biomarker Assays for Recent HIV Infection Using a Well-Characterized HIV-1 Subtype C Incidence Cohort.

Elizabeth Gonese, Peter H Kilmarx, Cari van Schalkwyk, Eduard Grebe, Kuda Mutasa, Robert Ntozini, Bharat Parekh, Trudy Dobbs, Yen Duong Pottinger, Silvina Masciotra and 4 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in AIDS research and human retroviruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Using HIV antibody measurements to detect viral load rebound: An analysis from an analytic treatment interruption study in the United States.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
    Observational
  4. Article
  5. Article
  6. Review
  7. Article
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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

14 authors at 6 institutions in 4 countries.

Elizabeth Gonese1 Division of Global HIV and TB, Centers for Disease Control and Prevention, Harare, Zimbabwe.
Peter H Kilmarx1 Division of Global HIV and TB, Centers for Disease Control and Prevention, Harare, Zimbabwe.
Cari van Schalkwyk2 DST-NRF Center of Excellence in Epidemiological Modeling and Analysis (SACEMA), Faculty of Science, Stellenbosch University, Stellenbosch, South Africa.
Eduard Grebe2 DST-NRF Center of Excellence in Epidemiological Modeling and Analysis (SACEMA), Faculty of Science, Stellenbosch University, Stellenbosch, South Africa.
Kuda Mutasa4 Department of Laboratory Services, Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Robert Ntozini4 Department of Laboratory Services, Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Bharat Parekh3 Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Georgia.
Trudy Dobbs3 Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Georgia.
Yen Duong Pottinger3 Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, Georgia.
Silvina Masciotra6 Department of Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia.
Michele Owen6 Department of Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jean B Nachega7 Departments of Epidemiology, Infectious Diseases and Microbiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Gert van Zyl10 Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University and National Health Laboratory Service, Cape Town, South Africa.
John W Hargrove2 DST-NRF Center of Excellence in Epidemiological Modeling and Analysis (SACEMA), Faculty of Science, Stellenbosch University, Stellenbosch, South Africa.
Centers for Disease Control and Prevention · USStellenbosch University · ZAZvitambo Institute for Maternal and Child Health Research · ZWCenter for Prevention Services · USCenters for Disease Control and Prevention · UGJohns Hopkins University · US

Funding

CGH CDC HHS U2G GH000315Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

Biomarkers for detecting early HIV infection and estimating HIV incidence should minimize false-recent rates (FRRs) while maximizing mean duration of recent infection (MDRI). We compared HIV subtypes B, E and D (BED) capture enzyme immunoassay (BED), Sedia limiting antigen (LAg) avidity enzyme immunoassay, and Bio-Rad avidity incidence (BRAI) assays using samples from Zimbabwean postpartum women infected with clade C HIV. We calculated MDRIs using 590 samples from 351 seroconverting postpartum women, and FRRs using samples from 2,825 women known to be HIV positive for >12 months. Antibody kinetics were more predictable with LAg and had higher precision compared with BED or BRAI. BRAI also exhibited more variability, and avidity reversal in some cases. For BED, LAg, and BRAI, used alone or with viral load, MDRI values in days were: BED-188 and 170 at normalized optical density (ODn) 0.8; LAg-104 and 100 at ODn cutoff 1.5; BRAI-135 and 134 at avidity index cutoff 30%. Corresponding FRRs were: BRAI 1.1% and 1.0% and LAg 0.57% and 0.35%: these were 3.8-10.9 times lower than BED values of 4.8% and 3.8%. BRAI and LAg have significantly lower FRRs and MDRIs than in published studies, and much lower than BED and could be used to estimate incidence in perinatal women and to measure population-level HIV incidence in HIV control operations in Africa.

Indexed as

AfricaAIDS SerodiagnosisAntibody AffinityBiomarkersCD4 Lymphocyte CountCohort StudiesFemaleHIV-1HIV AntibodiesHIV InfectionsHIV SeropositivityHumansImmunoenzyme TechniquesIncidencePostpartum PeriodViral LoadBiomarkersHIV Antibodiesbiomarkerincidencelaboratory

Identifiers

PMID30938164
PMCPMC10719552
OpenAlexW2927045316

What OpenQuestion holds

Textmetadata
LicenceTDM
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.