Evidence map›Paper›PMID 22356726›Full record

ArticleAIDS patient care and STDs2012

Diagnosing HIV in men who have sex with men: an emergency department's experience.

Brittney Copeland, Bijal Shah, Matthew Wheatley, Katherine Heilpern, Carlos del Rio, Debra Houry

Abstract readComparative Study
In one paragraph

Article in AIDS patient care and STDs, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

6 authors.

Brittney CopelandDepartment of Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia 30303, USA. bcopel3@emory.edu
Bijal Shah
Matthew Wheatley
Katherine Heilpern
Carlos del Rio
Debra Houry

Funding

ORIP NIH HHS P30RI50409
6 · The paper itself

Abstract

In the United States, men who have sex with men (MSM) constitute the risk group in which the prevalence of new HIV infection is increasing. The percentage of undiagnosed HIV infection and HIV risk behaviors in MSM and non-MSM participating in an emergency department-based rapid HIV screening program were compared. Medical records of all male patients participating in the program from May 2008 to October 2010 were reviewed. MSM were identified as male or male-to-female patients reporting oral and/or anal sex with a male. Males eligible for testing were aged 18 or older, English-speaking, not known to be HIV infected, and able to decline testing. A total of 6672 males were approached for testing; 5610 (84.1%) accepted, 366 (6.5%) were MSM, and 5244 (93.5%) were non-MSM. A total of 90.7% were black. Median age was 41. Fifty-nine MSM (16.1%) were diagnosed with HIV compared to 81 (1.5%) non-MSM. MSM were 10 times more likely than non-MSM to have undiagnosed HIV infection (odds ratio [OR] 10.4, 95% confidence interval [CI] 7.3, 14.0). HIV-infected MSM (median age, 26) were younger than non-MSM (median age, 41). HIV-infected non-MSM were 2 times more likely than MSM to have CD4 counts less than 200 cells per microliter. MSM were more likely to report previous HIV testing (OR 1.9, 95% CI 1.4, 2.5) and risk behaviors, including sex without a condom (OR 2.0, 95% CI 1.5, 2.6), sex with an HIV-infected partner (OR 14.6, 95% CI 8.3, 25.6) and sex with a known injection drug user (OR 4.1, 95% CI 2.0, 8.4). Further investigation of emergency department-based HIV testing and risk reduction programs targeting MSM is warranted.

Indexed as

Emergency Service, HospitalAdultCondomsFemaleHealth SurveysHIV SeropositivityHomosexuality, MaleHumansMaleMass ScreeningOdds RatioPopulation SurveillanceReferral and ConsultationRisk-TakingSexual PartnersUnited States

Identifiers

PMID22356726
PMCPMC3317392

What OpenQuestion holds

Textmetadata
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.