Evidence map›Paper›PMID 29480838›Full record

ArticleMedicine2018

Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus.

Yan Cheng, Nancy A Nickman, Christine Jamjian, Vanessa Stevens, Yue Zhang, Brian Sauer, Joanne LaFleur

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Yan ChengBiomedical Informatics Center, George Washington University, Washington, DC Department of Pharmacotherapy Division of Infectious Disease Department of Internal Medicine, University of Utah VA Salt Lake City Health Care System, Salt Lake City, UT.
Nancy A Nickman
Christine Jamjian
Vanessa Stevens
Yue Zhang
Brian Sauer
Joanne LaFleur
University of Utah · USVA Salt Lake City Healthcare System · USGeorge Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggested that human immunodeficiency virus (HIV) infected patients at risk of poor adherence were not distinguishable only based on the baseline characteristics. This study is to identify patient characteristics that would be consistently associated with poor adherence across regimens and to understand the associations between initial and long-term adherence. HIV treatment-naïve patients initiated on protease inhibitors, nonnucleoside reverse transcriptase inhibitors, or integrase strand transfer inhibitors were identified from the Veteran Health Administration system. Initial adherence measured as initial coverage ratio (ICR) and long-term adherence measured as thereafter 1-year proportion days covered (PDC) of base agent and complete regimen were estimated for each patient. The patients most likely to exhibit poor adherence were African-American, with lower socioeconomic status, and healthier. The initial coverage ratio of base agent and complete regimen were highly correlated, but the correlations between ICR and thereafter 1-year PDC were low. However, including initial adherence as a predictor in predictive model would substantially increase predictive accuracy of future adherence.

Indexed as

Medication AdherenceAnalysis of VarianceFemaleHealth StatusHIV InfectionsHIV IntegraseHIV Integrase InhibitorsHumansLogistic ModelsMaleMiddle AgedPrognosisProtease InhibitorsRetrospective StudiesReverse Transcriptase InhibitorsRisk FactorsHIV IntegraseHIV Integrase InhibitorsProtease InhibitorsReverse Transcriptase Inhibitors

Identifiers

PMID29480838
PMCPMC5943852
OpenAlexW2783012279

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.