Evidence map›Paper›PMID 31039483›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2019

Differences among diagnostic testing algorithms in the time from HIV diagnosis to care.

Anne Harwood Peruski, Baohua Wu, Richard M Selik

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 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 51% 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

3 authors at 1 institution in 3 countries.

Anne Harwood PeruskiDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, 1600 Clifton Rd., MS-E47, Atlanta, GA, 30329, United States. Electronic address: xax7@cdc.gov.
Baohua WuDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, 1600 Clifton Rd., MS-E47, Atlanta, GA, 30329, United States.
Richard M SelikDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, 1600 Clifton Rd., MS-E47, Atlanta, GA, 30329, United States.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe association between the type of diagnostic testing algorithm for HIV infection and the time from diagnosis to care has not been fully evaluated. Here we extend an earlier analysis of this association by controlling for patient and diagnosing facility characteristics. STUDY

designDescriptive analysis of HIV infection diagnoses during 2016 reported to the National HIV Surveillance System through December 2017. Algorithm type: traditional = initial HIV antibody immunoassay followed by a Western blot or immunofluorescence antibody test; recommended = initial HIV antigen/antibody immunoassay followed by HIV-1/2 type-differentiating antibody test; rapid = two CLIA-waived rapid tests on the same date.

resultsIn multivariate analyses controlling for patient and diagnosing facility characteristics, persons whose infection was diagnosed using the rapid algorithm were more likely to be linked to care within 30 days than those whose infection was diagnosed using the other testing algorithms (p < 0.01). The median time to link to care during a 30-day follow-up was 9.0 days (95% CI 8.0-12.0) after the rapid algorithm, 17.0 days (95% CI 17.0-18.0) after the recommended algorithm, and 23.0 days (95% CI 22.0-25.0) after the traditional algorithm.

conclusionsThe time from HIV diagnosis to care varied with the type of testing algorithm. The median time to care was shortest for the rapid algorithm, longest for the traditional algorithm, and intermediate for the recommended algorithm. These results demonstrate the importance of choosing an algorithm with a short time between initial specimen collection and report of the final result to the patient.

Indexed as

AlgorithmsAdolescentAdultDiagnostic Tests, RoutineFemaleHIV-1HIV-2HIV InfectionsHumansMaleMiddle AgedProportional Hazards ModelsTime FactorsYoung AdultDiagnostic testsHIV infectionsTesting algorithms

Identifiers

PMID31039483
PMCPMC8107884
OpenAlexW2936024862

What OpenQuestion holds

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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.