Evidence map›Paper›PMID 34483294›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2021

Predicting, Diagnosing, and Treating Acute and Early HIV Infection in a Public Sector Facility in Eswatini.

Bernhard Kerschberger, Aung Aung, Qhubekani Mpala, Nombuso Ntshalintshali, Charlie Mamba, Michael Schomaker, Marie Luce Tombo, Gugu Maphalala, Dumile Sibandze, Lenhle Dube and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

17 authors at 5 institutions in 4 countries.

Bernhard KerschbergerMédecins Sans Frontières (OCG), Mbabane, Eswatini.ORCID 0000-0003-0525-7262
Aung AungMédecins Sans Frontières (OCG), Mbabane, Eswatini.
Qhubekani MpalaMédecins Sans Frontières (OCG), Mbabane, Eswatini.
Nombuso NtshalintshaliMédecins Sans Frontières (OCG), Mbabane, Eswatini.
Charlie MambaMédecins Sans Frontières (OCG), Mbabane, Eswatini.
Michael SchomakerCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Marie Luce TomboMédecins Sans Frontières (OCG), Mbabane, Eswatini.
Gugu MaphalalaMinistry of Health (NRL), Mbabane, Eswatini.
Dumile SibandzeMinistry of Health (NRL), Mbabane, Eswatini.
Lenhle DubeMinistry of Health (SNAP), Mbabane, Eswatini.
Rufaro KashanguraMinistry of Health (Nhlangano Health Centre), Nhlangano, Eswatini.
Simangele Mthethwa-HlezaMinistry of Health (SNAP), Mbabane, Eswatini.
Alex TelnovMédecins Sans Frontières (OCG), Geneva, Switzerland.
Roberto de la TourMédecins Sans Frontières (OCG), Geneva, Switzerland.
Alan GonzalezMédecins Sans Frontières (OCG), Geneva, Switzerland.
Alexandra CalmyHIV/AIDS Unit, Division of Infectious Diseases, Geneva University Hospitals Geneva, Switzerland; and.
Iza CigleneckiMédecins Sans Frontières (OCG), Geneva, Switzerland.
Southern Africa Nazarene University · SZMinistry of Health · SZMédecins Sans Frontières · CHUniversity of Geneva · CHUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of acute and early HIV infection (AEHI) diagnosis and care contributes to high HIV incidence in resource-limited settings. We aimed to assess the yield of AEHI, predict and diagnose AEHI, and describe AEHI care outcomes in a public sector setting in Eswatini.

settingThis study was conducted in Nhlangano outpatient department from March 2019 to March 2020.

methodsAdults at risk of AEHI underwent diagnostic testing for AEHI with the quantitative Xpert HIV-1 viral load (VL) assay. AEHI was defined as the detection of HIV-1 VL on Xpert and either an HIV-seronegative or HIV-serodiscordant third-generation antibody-based rapid diagnostic test (RDT) result. First, the cross-sectional analysis obtained the yield of AEHI and established a predictor risk score for the prediction of AEHI using Lasso logistic regression. Second, diagnostic accuracy statistics described the ability of the fourth-generation antibody/p24 antigen-based Alere HIV-Combo RDT to diagnose AEHI (vs Xpert VL testing). Third, we described acute HIV infection care outcomes of AEHI-positive patients using survival analysis.

resultsOf 795 HIV-seronegative/HIV-serodiscordant outpatients recruited, 30 (3.8%, 95% confidence interval: 2.6% to 5.3%) had AEHI. The predictor risk score contained several factors (HIV-serodiscordant RDT, women, feeling at risk of HIV, swollen glands, and fatigue) and had sensitivity and specificity of 83.3% and 65.8%, respectively, to predict AEHI. The HIV-Combo RDT had sensitivity and specificity of 86.2% and 99.9%, respectively, to diagnose AEHI. Of 30 AEHI-positive patients, the 1-month cumulative treatment initiation was 74% (95% confidence interval: 57% to 88%), and the 3-month viral suppression (<1000 copies/mL) was 87% (67% to 98%).

conclusionAEHI diagnosis and care seem possible in resource-limited settings.

Indexed as

HIV InfectionsAcute DiseaseAdultAnti-Retroviral AgentsCross-Sectional StudiesEarly DiagnosisEswatiniFemaleHIV-1HIV AntibodiesHIV Core Protein p24HumansPredictive Value of TestsPublic SectorSensitivity and SpecificityTime FactorsAnti-Retroviral AgentsHIV AntibodiesHIV Core Protein p24

Identifiers

PMID34483294
PMCPMC8575170
OpenAlexW3196346390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.