Evidence map›Paper›PMID 23953941›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2013

Finding those at risk: acute HIV infection in Newark, NJ.

Eugene G Martin, Gratian Salaru, Debbie Mohammed, Robert W Coombs, Sindy M Paul, Evan M Cadoff

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. COVID-19 Pneumonia in Patients With HIV: A Case Series.Journal of acquired immune deficiency syndromes (1999) · 2020
    Article
  4. Array testing for multiplex assays.Biostatistics (Oxford, England) · 2020
    Article
  5. Nucleic acid testing and molecular characterization of HIV infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  6. Group testing case identification with biomarker information.Computational statistics & data analysis · 2018
    Article
  7. Article
  8. 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

6 authors at 3 institutions in 1 country.

Eugene G MartinUMDNJ - Robert Wood Johnson Medical School, Somerset, NJ, United States(1). Electronic address: martineu@rwjms.rutgers.edu.
Gratian SalaruUMDNJ - Robert Wood Johnson Medical School, Somerset, NJ, United States(1).
Debbie MohammedUMDNJ - New Jersey Medical School, Newark, NJ, United States.
Robert W CoombsUniversity of Washington, Seattle, WA, United States.
Sindy M PaulNew Jersey State Department of Health, Trenton, NJ, United States.
Evan M CadoffUMDNJ - Robert Wood Johnson Medical School, Somerset, NJ, United States(1).
Rutgers, The State University of New Jersey · USOklahoma State Department of Health · USUniversity of Washington · US

Funding

WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
NIAID NIH HHS AI 27757NIAID NIH HHS AI 38858NIAID NIH HHS P30 AI027757NIAID NIH HHS U01 AI038858
6 · The paper itself

Abstract

backgroundA screening strategy combining rapid HIV-1/2 (HIV) antibody testing with pooled HIV-1 RNA testing increases identification of HIV infections, but may have other limitations that restrict its usefulness to all but the highest incidence populations.

objectiveBy combining rapid antibody detection and pooled nucleic acid amplification testing (NAAT) testing, we sought to improve detection of early HIV-1 infections in an urban Newark, NJ hospital setting. STUDY

designPooled NAAT HIV-1 RNA testing was offered to emergency department patients and outpatients being screened for HIV antibodies by fingerstick-rapid HIV testing. For those negative by rapid HIV and agreeing to NAAT testing, pooled plasma samples were prepared and sent to the University of Washington where real-time reverse transcription-polymerase chain reaction (RT-PCR) amplification was performed.

resultsOf 13,226 individuals screened, 6381 had rapid antibody testing alone, and 6845 agreed to add NAAT HIV screening. Rapid testing identified 115 antibody positive individuals. Pooled NAAT increased HIV-1 case detection by 7.0% identifying 8 additional cases. Overall, acute HIV infection yield was 0.12%. While males represent only 48.1% of those tested by NAAT, all samples that screened positive for HIV-1 RNA were obtained from men.

conclusionHIV-1 RNA testing of pooled, HIV antibody-negative specimens permits identification of recent infections. In Newark, pooled NAAT increased HIV-1 case detection and provided an opportunity to focus on treatment and prevention messages for those most at risk of transmitting infection. Although constrained by client willingness to participate in testing associated with a need to return to receive further results, use of pooled NAAT improved early infection sensitivity.

Indexed as

AlgorithmsDiagnostic Tests, RoutineFemaleHIV-1HIV InfectionsHumansImmunoassayMaleNew JerseyNucleic Acid Amplification TechniquesSensitivity and SpecificitySpecimen HandlingTime FactorsHIV screenHIV seronegativityHIV testing algorithmsNAATNucleic acid amplification testsRapid HIV tests

Identifiers

PMID23953941
PMCPMC4266376
OpenAlexW2034708034

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.