Evidence map›Paper›PMID 26589466›Full record

ArticleThe American journal of emergency medicine2016

Evaluation of hidden HIV infections in an urban ED with a rapid HIV screening program.

Yu-Hsiang Hsieh, Gabor D Kelen, Kaylin J Beck, Chadd K Kraus, Judy B Shahan, Oliver B Laeyendecker, Thomas C Quinn, Richard E Rothman

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
  2. Discordant performance of mpox serological assays.Journal of virological methods · 2024
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  13. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.Journal of acquired immune deficiency syndromes (1999) · 2018
    Article
  14. Article
  15. 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

8 authors.

Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: yhsieh1@jhmi.edu.
Gabor D KelenDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Kaylin J BeckDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Chadd K KrausLehigh Valley Health Network, Allentown, PA.
Judy B ShahanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Oliver B LaeyendeckerDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.
Thomas C QuinnDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
Cost-Effectiveness of ED HIV Testing Program Agent-Based Modeling ApproachK01AI100681 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HSIEH, YU-HSIANG · 2012 to 2015
$532k
Intramural NIH HHS Z99 AI999999NCATS NIH HHS UL1 TR001079NIAID NIH HHS K01 AI100681NIAID NIH HHS K01AI100681
6 · The paper itself

Abstract

backgroundTo investigate the prevalence of undiagnosed HIV infections in an emergency department (ED) with an established screening program.

methodsEvaluation of the prevalence and risk factors for HIV from an 8-week (June 24, 2007-August 18, 2007) identity-unlinked HIV serosurvey, conducted at the same time as an ongoing opt-in rapid oral-fluid HIV screening program. Testing facilitators offering 24/7 bedside rapid testing to patients aged 18 to 64 years, with concordant collection of excess sera collected as part of routine clinical procedures. Known HIV positivity was determined by (1) medical record review or self-report from the screening program and/or (2) presence of antiretrovirals in serum specimens.

resultsAmong 3207 patients, 1165 (36.3%) patients were offered an HIV test. Among those offered, 567 (48.7%) consented to testing. Concordance identity-unlinked study revealed that the prevalence of undiagnosed infections was as follows: 2.3% in all patients, 1.0% in those offered testing vs 3.0% in those not offered testing (P < .001); and 1.3% in those who declined testing compared with 0.4% in those who were tested (P = .077). Higher median viral loads were observed in those not offered testing (14255 copies/mL; interquartile range, 1147-64354) vs those offered testing (1865 copies/mL; interquartile range, undetectable-21786), but the difference was not statistically significant.

conclusionsHigh undiagnosed HIV prevalence was observed in ED patients who were not offered HIV testing and those who declined testing, compared with those who were tested. This indicates that even with an intensive facilitator-based rapid HIV screening model, significant missed opportunities remain with regard to identifying undiagnosed infections in the ED.

Indexed as

AdolescentAdultAgedBlotting, WesternChromatography, LiquidEmergency Service, HospitalEnzyme-Linked Immunosorbent AssayFemaleHIV InfectionsHospitals, UrbanHumansMaleMass ScreeningMiddle AgedPrevalenceRisk Factors

Identifiers

PMID26589466
PMCPMC4753113

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.