Evidence map›Paper›PMID 27465279›Full record

ArticleAIDS (London, England)2016

Increased antiretroviral therapy prescription and HIV viral suppression among persons receiving clinical care for HIV infection.

Heather Bradley, Christine L Mattson, Linda Beer, Ping Huang, R Luke Shouse, Medical Monitoring Project

Abstract read
In one paragraph

Article in AIDS (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 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.

Heather BradleyDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Christine L Mattson
Linda Beer
Ping Huang
R Luke Shouse
Medical Monitoring Project

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo assess trends during 2009-2013 in antiretroviral therapy (ART) prescription and viral suppression among adults receiving HIV clinical care in the United States.

designWe used data from the Medical Monitoring Project, a surveillance system producing national estimates of characteristics of HIV-infected adults receiving clinical care in the United States.

methodsWe estimated weighted proportions of persons receiving HIV medical care who were prescribed ART and achieved HIV viral suppression (<200 copies/ml) at both last test and at all tests in the previous 12 months during 2009-2013. We assessed trends overall and by gender, age, race/ethnicity, and sexual behavior/orientation.

resultsART prescription and viral suppression increased significantly during 2009-2013, overall and in subgroups. ART prescription increased from 89 to 94% (P for trend <0.01). Viral suppression at last measurement increased from 72 to 80% (P for trend <0.01). The largest increases were among 18-29 year olds (56-68%), 30-39 year olds (62-75%), and non-Hispanic blacks (64-76%). Sustained viral suppression increased from 58 to 68% (P for trend <0.01). The largest increases were among 18-29 year olds (32-51%), 30-39 year olds (47-63%), and non-Hispanic blacks (49-61%).

conclusionAdults receiving HIV medical care are increasingly likely to be prescribed ART and achieve viral suppression. Recent efforts to promote early antiretroviral therapy use may have contributed to these increases, bringing us closer to realizing key goals of the National HIV/AIDS Strategy.

Indexed as

Drug PrescriptionsDrug UtilizationSustained Virologic ResponseAdolescentAdultAnti-Retroviral AgentsCross-Sectional StudiesHealth PolicyHealth Services ResearchHIV InfectionsHumansMiddle AgedUnited StatesYoung AdultAnti-Retroviral Agents

Identifiers

PMID27465279
PMCPMC5084085

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Registered trials

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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.