Evidence map›Paper›PMID 24901464›Full record

ArticleAIDS patient care and STDs2014

Total daily pill burden in HIV-infected patients in the southern United States.

Shuntai Zhou, Kelly Martin, Amanda Corbett, Sonia Napravnik, Joseph Eron, Ye Zhu, Bryan Casciere, Cindy Boulton, Brittany Loy, Shayna Smith and 4 more

Abstract read
In one paragraph

Article in AIDS patient care and STDs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

14 authors.

Shuntai Zhou1 Center for Infectious Diseases, School of Medicine, UNC-Chapel Hill , Chapel Hill, North Carolina.
Kelly Martin
Amanda Corbett
Sonia Napravnik
Joseph Eron
Ye Zhu
Bryan Casciere
Cindy Boulton
Brittany Loy
Shayna Smith
Amanda Woods
Margaret Murray
Laura Ramsdell
David A Wohl

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
NIAID NIH HHS P30 AI050410
6 · The paper itself

Abstract

The need for antiretroviral therapy coupled with treatment of chronic co-morbidities places HIV-infected patients at risk for polypharmacy. However, few studies have described overall pill burden among HIV-infected patients. HIV-infected outpatients of the UNC Infectious Diseases Clinic were enrolled in this cross-sectional study. Subjects were contacted prior to a scheduled appointment and asked to bring all their medications to the visit. Daily total pill burden and medication type were recorded. 151 subjects were recruited: 76% male, 58% African American, 97% receiving antiretrovirals (ARVs). Median age was 48 (IRQ: 42-54) years. The median number of medications per subject was 8 (IQR: 6-11), and the median individual daily pill burden was 8 pills (IQR: 5-15): 3 pills (range: 2-5) for ARVs and 6 (range: 3-12.5) pills for non-ARVs. Duration of ART (per 2 years increase) and more than 3 co-morbidities was significantly associated with high pill burden (over 10 pills per day) with adjusted OR of 2.09 (95% CI, 1.14-3.84) and 8.04 (95% CI, 2.30-28.15), respectively. As patients with HIV age, strategies to reduce pill burden and number of medications will become increasingly critical to maintaining adherence, preventing medication errors, and serious drug-drug interactions.

Indexed as

PolypharmacyAdultAnti-Retroviral AgentsCD4 Lymphocyte CountChronic DiseaseComorbidityCross-Sectional StudiesDrug MonitoringDrug PrescriptionsFemaleHIV InfectionsHumansInterviews as TopicMaleMedication AdherenceMiddle AgedAnti-Retroviral Agents

Identifiers

PMID24901464
PMCPMC4180528

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.