Literature DB >> 15998755

Screening for HIV: a review of the evidence for the U.S. Preventive Services Task Force.

Roger Chou1, Laurie Hoyt Huffman, Rongwei Fu, Ariel K Smits, P Todd Korthuis.   

Abstract

BACKGROUND: HIV infection affects 850,000 to 950,000 persons in the United States. The management and outcomes of HIV infection have changed substantially since the U.S. Preventive Services Task Force issued recommendations in 1996.
PURPOSE: To synthesize the evidence on risks and benefits of screening for HIV infection. DATA SOURCES: MEDLINE, the Cochrane Library, reference lists, and experts. STUDY SELECTION: Studies of screening, risk factor assessment, accuracy of testing, follow-up testing, and efficacy of interventions. DATA EXTRACTION: Data on settings, patients, interventions, and outcomes were abstracted for included studies; quality was graded according to criteria developed by the Task Force. DATA SYNTHESIS: No trials directly link screening for HIV with clinical outcomes. Many HIV-infected persons in the United States currently receive diagnosis at advanced stages of disease, and almost all will progress to AIDS if untreated. Screening based on risk factors could identify persons at substantially higher risk but would miss a substantial proportion of those infected. Screening tests for HIV are extremely (>99%) accurate. Acceptance rates for screening and use of recommended interventions vary widely. Highly active antiretroviral therapy (HAART) substantially reduces the risk for clinical progression or death in patients with immunologically advanced disease. Along with other adverse events, HAART is associated with an increased risk for cardiovascular complications, although absolute rates are low after 3 to 4 years. LIMITATIONS: Data are insufficient to estimate the effects of screening and interventions on transmission rates or in patients with less immunologically advanced disease. Long-term data on adverse events associated with HAART are not yet available.
CONCLUSIONS: Benefits of HIV screening appear to outweigh harms. The yield from screening higher-prevalence populations would be substantially higher than that from screening the general population.

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Year:  2005        PMID: 15998755     DOI: 10.7326/0003-4819-143-1-200507050-00010

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  34 in total

1.  HIV counseling and testing: less targeting, more testing.

Authors:  Douglas J Koo; Elizabeth M Begier; Matt H Henn; Kent A Sepkowitz; Scott E Kellerman
Journal:  Am J Public Health       Date:  2006-05-02       Impact factor: 9.308

Review 2.  Sensitivity analysis using elicited expert information for inference with coarsened data: illustration of censored discrete event times in the AIDS Link to Intravenous Experience (ALIVE) Study.

Authors:  Michelle Shardell; Daniel O Scharfstein; David Vlahov; Noya Galai
Journal:  Am J Epidemiol       Date:  2008-10-24       Impact factor: 4.897

3.  Assessing willingness to test for HIV among men who have sex with men using conjoint analysis, evidence for uptake of the FDA-approved at-home HIV test.

Authors:  Sung-Jae Lee; Ronald Brooks; Robert K Bolan; Risa Flynn
Journal:  AIDS Care       Date:  2013-05-07

4.  The impact of provider-initiated (opt-out) HIV testing and counseling of patients with sexually transmitted infection in Cape Town, South Africa: a controlled trial.

Authors:  Natalie Leon; Pren Naidoo; Catherine Mathews; Simon Lewin; Carl Lombard
Journal:  Implement Sci       Date:  2010-01-30       Impact factor: 7.327

5.  Unconsented HIV testing in cases of occupational exposure: ethics, law, and policy.

Authors:  Ethan Cowan; Ruth Macklin
Journal:  Acad Emerg Med       Date:  2012-09-20       Impact factor: 3.451

6.  A system-wide intervention to improve HIV testing in the Veterans Health Administration.

Authors:  Matthew Bidwell Goetz; Tuyen Hoang; Candice Bowman; Herschel Knapp; Barbara Rossman; Robert Smith; Henry Anaya; Teresa Osborn; Allen L Gifford; Steven M Asch
Journal:  J Gen Intern Med       Date:  2008-05-02       Impact factor: 5.128

7.  Regression analysis for multiple-disease group testing data.

Authors:  Boan Zhang; Christopher R Bilder; Joshua M Tebbs
Journal:  Stat Med       Date:  2013-05-23       Impact factor: 2.373

8.  Price, performance, and the FDA approval process: the example of home HIV testing.

Authors:  A David Paltiel; Harold A Pollack
Journal:  Med Decis Making       Date:  2009-05-08       Impact factor: 2.583

9.  Inhibition of HIV-1 entry by extracts derived from traditional Chinese medicinal herbal plants.

Authors:  In-Woo Park; Changri Han; Xiaoping Song; Linden A Green; Ting Wang; Ying Liu; Changchun Cen; Xinming Song; Biao Yang; Guangying Chen; Johnny J He
Journal:  BMC Complement Altern Med       Date:  2009-08-05       Impact factor: 3.659

10.  Prevalence and risk factors for Hepatitis C and HIV-1 infections among pregnant women in Central Brazil.

Authors:  Zelma B Costa; Gustavo C Machado; Mariza M Avelino; Clidenor Gomes Filho; Jose V Macedo Filho; Ana L Minuzzi; Marilia D Turchi; Mariane M A Stefani; Wayner Vieira de Souza; Celina Mt Martelli
Journal:  BMC Infect Dis       Date:  2009-07-27       Impact factor: 3.090

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