Evidence map›Paper›PMID 25585300›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2015

Brief report: Validation of a quantitative HIV risk prediction tool using a national HIV testing cohort.

Jason S Haukoos, Emily Hopkins, Meggan M Bucossi, Michael S Lyons, Richard E Rothman, Douglas A E White, Alia A Al-Tayyib, Lucy Bradley-Springer, Jonathan D Campbell, Allison L Sabel and 2 more

Abstract readValidation Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

12 authors.

Jason S Haukoos*Department of Emergency Medicine, Denver Health Medical Center, Denver, CO; †Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO; ‡Department of Epidemiology, Colorado School of Public Health, Aurora, CO; §Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH; ‖Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; ¶Department of Emergency Medicine, Alameda County Medical Center, Oakland, CA; #Department of Emergency Medicine, University of California San Francisco, San Francisco, CA; **Denver Public Health, Denver, CO; ††University of Colorado College of Nursing, Aurora, CO; ‡‡Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO; §§Department of Patient Safety and Quality, Denver Health Medical Center, Denver, CO; ‖‖Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO; and ¶¶Department of Medicine, University of Colorado School of Medicine, Aurora, CO.
Emily Hopkins
Meggan M Bucossi
Michael S Lyons
Richard E Rothman
Douglas A E White
Alia A Al-Tayyib
Lucy Bradley-Springer
Jonathan D Campbell
Allison L Sabel
Mark W Thrun
Denver Emergency Department HIV Research Consortium

Funding

Effectiveness of Rapid HIV Screening Methods in Urban Emergency DepartmentsR01AI106057 · NIAID · DENVER HEALTH AND HOSPITAL AUTHORITY · PI HAUKOOS, JASON · 2012 to 2016
$3.1M
Simulating the Operational Consequences of HIV Screening in the Emergency DepartmR01HS021749 · AHRQ · UNIVERSITY OF CINCINNATI · PI LYONS, MICHAEL S · 2012 to 2016
$1.2M
Strategies to Identify Undiagnosed HIV Infection in the Emergency DepartmentK02HS017526 · AHRQ · DENVER HEALTH AND HOSPITAL AUTHORITY · PI HAUKOOS, JASON · 2008 to 2012
$554k
AHRQ HHS K02 HS017526AHRQ HHS K02HS017526AHRQ HHS R01 HS021749AHRQ HHS R01HS021749NIAID NIH HHS R01 AI106057NIAID NIH HHS R01AI106057
6 · The paper itself

Abstract

Routine screening is recommended for HIV detection. HIV risk estimation remains important. Our goal was to validate the Denver HIV Risk Score using a national cohort from the Centers for Disease Control and Prevention. Patients of 13 years and older were included, 4,830,941 HIV tests were performed, and 0.6% newly diagnosed infections were identified. Of all visits, 9% were very low risk (HIV prevalence = 0.20%), 27% low risk (HIV prevalence = 0.17%), 41% moderate risk (HIV prevalence = 0.39%), 17% high risk (HIV prevalence = 1.19%), and 6% very high risk (HIV prevalence = 3.57%). The Denver HIV Risk Score accurately categorized patients into different HIV risk groups.

Indexed as

AdolescentAdultCohort StudiesFemaleHIV InfectionsHumansMaleMiddle AgedPrevalenceRisk AssessmentYoung Adult

Identifiers

PMID25585300
PMCPMC4357562

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.