Evidence map›Paper›PMID 31764108›Full record

Trial reportAIDS (London, England)2019

High yield of new HIV diagnoses during active case-finding for tuberculosis.

Walter Mchembere, Janet Agaya, Courtney M Yuen, Douglas Okelloh, Millicent Achola, Joseph Opole, Jessica Cowden, Hellen Muttai, Charles M Heilig, Martien W Borgdorff and 1 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 2 countries.

Walter MchembereaKenya Medical Research Institute, Kisumu, Kenya bHarvard Medical School, Boston, Massachusetts, USA cKenya Medical Research Institute, US Army Medical Research Directorate - Kenya, Kisumu, Kenya dUS Army Medical Research Directorate - Kenya eCenters for Disease Control and Prevention, Kisumu, Kenya fCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Janet Agaya
Courtney M Yuen
Douglas Okelloh
Millicent Achola
Joseph Opole
Jessica Cowden
Hellen Muttai
Charles M Heilig
Martien W Borgdorff
Kevin P Cain
Centers for Disease Control and Prevention · KECenters for Disease Control and Prevention · USHarvard University · US

Funding

Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

objectiveTo evaluate the utility of a broad and nonspecific symptom screen for identifying people with undiagnosed HIV infection.

designSecondary analysis of operational data collected during implementation of a cluster-randomized trial for tuberculosis case detection.

methodsAs part of the trial, adults reporting cough, fever, night sweats, weight loss, or difficulty breathing for any duration in the past month were identified in health facilities and community-based mobile screening units in western Kenya. Adults reporting any symptom were offered HIV testing. We analysed the HIV testing data from this study, using modified Poisson regression, to identify predictors of new HIV diagnoses among adults with symptoms and initially unknown HIV status.

resultsWe identified 3818 symptomatic adults, referred 1424 (37%) for testing, of whom 1065 (75%) accepted, and 107 (10%) were newly diagnosed with HIV. The prevalence of new HIV diagnoses was 21% [95% confidence interval (CI) 17-25%] among those tested in health facilities and 5% (95% CI 4-7%) among those tested in mobile units. More men were diagnosed with HIV than women, despite fewer men being screened. People who reported 4-5 symptoms were over twice as likely to be diagnosed with HIV compared to those reporting 1-3 symptoms (adjusted prevalence ratio in health facilities = 2.58, 95% CI 1.65-4.05; adjusted prevalence ratio in mobile units = 2.63, 95% CI 1.37-5.03).

conclusionWe observed a high yield of new HIV diagnoses among adults identified by active application of a broad symptom screen. Use of integrated tuberculosis and HIV screening could help close the detection gap for both conditions.

Indexed as

Health FacilitiesMobile Health UnitsAdolescentAdultFemaleHIV InfectionsHumansKenyaMaleMass ScreeningMiddle AgedPrevalenceRegression AnalysisSex FactorsTuberculosisYoung Adult

Identifiers

PMID31764108
PMCPMC9554931
OpenAlexW2969689770

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.