Evidence map›Paper›PMID 24759065›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2014

STI patients are effective recruiters of undiagnosed cases of HIV: results of a social contact recruitment study in Malawi.

Nora E Rosenberg, Gift Kamanga, Audrey E Pettifor, Naomi Bonongwe, Clement Mapanje, Sarah E Rutstein, Michelle Ward, Irving F Hoffman, Francis Martinson, William C Miller

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Nora E Rosenberg*Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC; †UNC Project, University of North Carolina at Chapel Hill, Lilongwe, Malawi; ‡Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC; and §Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Gift Kamanga
Audrey E Pettifor
Naomi Bonongwe
Clement Mapanje
Sarah E Rutstein
Michelle Ward
Irving F Hoffman
Francis Martinson
William C Miller

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
Training in Sexually Transmitted Infections and HIVT32AI007001 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SENA-SOBERANO, ARLENE C. · 1985 to 2025
$10.9M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Fogarty Global Health Fellows Coordinating CenterR25TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2012 to 2016
$6.9M
Acute HIV infection - A key link for transmission preventionR01AI083059 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MILLER, WILLIAM C, PETTIFOR, AUDREY · 2009 to 2012
$3.7M
Optimizing HIV Therapy: virological monitoring, adherence & cost-effectivenessF30MH098731 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUTSTEIN, SARAH E. · 2012 to 2016
$201k
FIC NIH HHS R24 TW007988FIC NIH HHS R25 TW009340NIAID NIH HHS 5-R01 AI083059-03NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI50410NIAID NIH HHS R01 AI083059NIAID NIH HHS T32 AI007001NIAID NIH HHS T32 AI007001-34NICHD NIH HHS R24 HD050924NIGMS NIH HHS T32 GM008719NIMH NIH HHS F30 MH098731NIMH NIH HHS F30 MH098731-01
6 · The paper itself

Abstract

backgroundPatients with newly diagnosed HIV may be part of social networks with elevated prevalence of undiagnosed HIV infection. Social network recruitment by persons with newly diagnosed HIV may efficiently identify undiagnosed cases of HIV infection. We assessed social network recruitment as a strategy for identifying undiagnosed cases of HIV infection.

methodsIn a sexually transmitted infection (STI) clinic in Lilongwe, Malawi, 3 groups of 45 "seeds" were enrolled: STI patients with newly diagnosed HIV, STI patients who were HIV-uninfected, and community controls. Seeds were asked to recruit up to 5 social "contacts" (sexual or nonsexual). Mean number of contacts recruited per group was calculated. HIV prevalence ratios (PRs) and number of contacts needed to test to identify 1 new case of HIV were compared between groups using generalized estimating equations with exchangeable correlation matrices.

resultsMean number of contacts recruited was 1.3 for HIV-infected clinic seeds, 1.8 for HIV-uninfected clinic seeds, and 2.3 for community seeds. Contacts of HIV-infected clinic seeds had a higher HIV prevalence (PR: 3.2, 95% confidence interval: 1.3 to 7.8) than contacts of community seeds, but contacts of HIV-uninfected clinic seeds did not (PR: 1.1, 95% confidence interval: 0.4 to 3.3). Results were similar when restricted to nonsexual contacts. To identify 1 new case of HIV, it was necessary to test 8 contacts of HIV-infected clinic seeds, 10 contacts of HIV-uninfected clinic seeds, and 18 contacts of community seeds.

conclusionsSocial contact recruitment by newly diagnosed STI patients efficiently led to new HIV diagnoses. Research to replicate findings and guide implementation is needed.

Indexed as

Social SupportAdolescentAdultFemaleHIV InfectionsHumansMalawiMaleMiddle AgedPrevalenceYoung Adult

Identifiers

PMID24759065
PMCPMC3999477

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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.