Evidence map›Paper›PMID 24342483›Full record

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

Evaluation of the CDC proposed laboratory HIV testing algorithm among men who have sex with men (MSM) from five US metropolitan statistical areas using specimens collected in 2011.

Silvina Masciotra, Amanda J Smith, Ae S Youngpairoj, Patrick Sprinkle, Isa Miles, Catlainn Sionean, Gabriela Paz-Bailey, Jeffrey A Johnson, S Michele Owen

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Evaluation of dried blood spot protocols with the Bio-Rad GS HIV Combo Ag/Ab EIA and Geenius™ HIV 1/2 Supplemental Assay.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2017
    Article
  3. Review
  4. Review
  5. Arguments for and against HIV self-testing.HIV/AIDS (Auckland, N.Z.) · 2014
    Review
  6. 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

9 authors at 1 institution in 1 country.

Silvina MasciotraDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States. Electronic address: svm6@cdc.gov.
Amanda J SmithDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Ae S YoungpairojDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Patrick SprinkleDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Isa MilesDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Catlainn SioneanDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Gabriela Paz-BaileyDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Jeffrey A JohnsonDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
S Michele OwenDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundUntil recently most testing algorithms in the United States (US) utilized Western blot (WB) as the supplemental test. CDC has proposed an algorithm for HIV diagnosis which includes an initial screen with a Combo Antigen/Antibody 4th generation-immunoassay (IA), followed by an HIV-1/2 discriminatory IA of initially reactive-IA specimens. Discordant results in the proposed algorithm are resolved by nucleic acid-amplification testing (NAAT).

objectivesEvaluate the results obtained with the CDC proposed laboratory-based algorithm using specimens from men who have sex with men (MSM) obtained in five metropolitan statistical areas (MSAs). STUDY

designSpecimens from 992 MSM from five MSAs participating in the CDC's National HIV Behavioral Surveillance System in 2011 were tested at local facilities and CDC. The five MSAs utilized algorithms of various screening assays and specimen types, and WB as the supplemental test. At the CDC, serum/plasma specimens were screened with 4th generation-IA and the Multispot HIV-1/HIV-2 discriminatory assay was used as the supplemental test. NAAT was used to resolve discordant results and to further identify acute HIV infections from all screened-non-reactive missed by the proposed algorithm. Performance of the proposed algorithm was compared to site-specific WB-based algorithms.

resultsThe proposed algorithm detected 254 infections. The WB-based algorithms detected 19 fewer infections; 4 by oral fluid (OF) rapid testing and 15 by WB supplemental testing (12 OF and 3 blood). One acute infection was identified by NAAT from all screened-non-reactive specimens.

conclusionsThe proposed algorithm identified more infections than the WB-based algorithms in a high-risk MSM population. OF testing was associated with most of the discordant results between algorithms. HIV testing with the proposed algorithm can increase diagnosis of infected individuals, including early infections.

Indexed as

Homosexuality, MaleAlgorithmsDiagnostic Tests, RoutineHIV-1HIV-2HIV InfectionsHumansImmunoassayMaleNucleic Acid Amplification TechniquesSensitivity and SpecificityUnited StatesUrban PopulationAlgorithmsDiagnosticsHIV-1Laboratory

Identifiers

PMID24342483
PMCPMC11111261
OpenAlexW2000047854

What OpenQuestion holds

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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.