Evidence map›Paper›PMID 40641568›Full record

ArticlePharmacoepidemiology2025

EVALUATION OF SCREENING TOOL OF OLDER PEOPLE'S PRESCRIPTIONS (STOPP) CRITERIA IN AN URBAN COHORT OF OLDER PEOPLE WITH HIV.

Lauren F O'Connor, Jenna B Resnik, Sam Simmens, Vinay Bhandaru, Debra Benator, La'Marcus Wingate, Amanda D Castel, Anne K Monroe

Abstract read
In one paragraph

Article in Pharmacoepidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lauren F O'ConnorDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Jenna B ResnikDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Sam SimmensDepartment of Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Vinay BhandaruDepartment of Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Debra BenatorWashington DC VA Medical Center, Washington, District of Columbia, USA.
La'Marcus WingateHoward University College of Pharmacy, Washington, District of Columbia, USA.
Amanda D CastelDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Anne K MonroeDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.

Funding

The DC Cohort: A Longitudinal Population-Based Cohort Study of People Living with HIV in Washington, DCR24AI152598 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Amanda Derryck Castel, Marinella Temprosa · 2020 to 2026
$37.9M
SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Italo Mocchetti · 2015 to 2026
$29.6M
NIAID NIH HHS P30 AI117970NIAID NIH HHS R24 AI152598
6 · The paper itself

Abstract

Background: The validated Screening Tool of Older People's Prescriptions (STOPP) identifies potentially inappropriate prescribing (PIP) - treatments where potential risk outweighs potential benefit. STOPP is particularly important for people aging with HIV and comorbidities, since PIP may exacerbate symptoms and decrease adherence. Methods: We analyzed data from the DC Cohort, a longitudinal cohort of people with HIV (PWH). We applied STOPP criteria to identify PIP among DC Cohort participants aged ≥50 years who completed a Patient Reported Outcomes (PROs) survey. All medications prescribed in the 2 years prior to PROs survey completion were considered. Negative binomial models were used to evaluate factors associated with PIP and structural equation modeling was used to evaluate whether symptom burden mediates the relationship between PIP and quality of life. Results: Of 1048 eligible DC Cohort participants, 486 (46%) had at least one PIP. The most common systems implicated were musculoskeletal (23%), analgesic drugs (N=172, 16%), and central nervous system (13%). All baseline characteristics (age, race/ethnicity, gender, HIV transmission risk, SDOH, comorbidities, viral suppression, and type of HIV care site) were significantly associated with PIP in the crude models. In the multivariable model with just demographic variables, the association between age (aIRR: 1.03 (95% CI: 1.02, 1.04)), intravenous drug use (aIRR: 1.68 (95% CI: 1.20, 2.35)), site type (aIRR: 0.75 (95% CI: 0.62, 0.92)) and PIP remained significant (Table 3, Model I). In the fully adjusted multivariable model with demographics and SDOH, the association between between age, intravenous drug use, and PIP remained significant. Statistical evidence that symptom burden mediates the relationship between PIP and each of the QOL dimensions was present. Conclusion: Future interventions should work to decrease PIP among these high-risk groups, especially for PIPs associated with increased symptom burden.

Indexed as

AgingCohortHIVPolypharmacyPotentially Inappropriate Prescriptions

Identifiers

PMID40641568
PMCPMC12245168

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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.