Evidence map›Paper›PMID 42206209›Full record

ArticleKidney medicine2026

Drug Burden Index and Its Association With Functional Outcomes in Patients Receiving Hemodialysis.

Cara L McDermott, Sarah Morton-Oswald, Jonathan Wilson, Juliessa M Pavon, Cathleen Colón-Emeric, Carl F Pieper, Rasheeda K Hall

Abstract read
In one paragraph

Article in Kidney medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

7 authors.

Cara L McDermottDivision of Geriatrics and Palliative Care, Department of Medicine, Duke University, Durham, NC.
Sarah Morton-OswaldDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Jonathan WilsonDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Juliessa M PavonDivision of Geriatrics and Palliative Care, Department of Medicine, Duke University, Durham, NC.
Cathleen Colón-EmericDivision of Geriatrics and Palliative Care, Department of Medicine, Duke University, Durham, NC.
Carl F PieperDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Rasheeda K HallDepartment of Population Health Sciences, Duke University, Durham, NC.

Funding

Integration of Geriatric Care into Dialysis ClinicsRF1AG076918 · NIA · DUKE UNIVERSITY · PI HALL, RASHEEDA K · 2025 to 2025
$2.2M
Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS PolypharmacyR01AG088214 · NIA · DUKE UNIVERSITY · PI JULIESSA M PAVON · 2024 to 2026
$1.8M
Deprescribing for Older Dialysis PatientsK76AG059930 · NIA · DUKE UNIVERSITY · PI HALL, RASHEEDA K · 2018 to 2022
$1.2M
NIA NIH HHS K76 AG059930NIA NIH HHS R01 AG088214NIA NIH HHS RF1 AG076918
6 · The paper itself

Abstract

Rationale & Objective: Psychoactive potentially inappropriate medications (PIMs) are associated with morbidity and mortality in the dialysis population. However, little evidence exists on the association of psychoactive PIMs with functional status, an outcome that matters to patients. Our objective was to examine the association between psychoactive PIM burden and declining functional status. Study Design: Retrospective cohort analysis. Setting & Participants: We evaluated a subset of the United States Renal Data System ACTIVE/ADIPOSE study cohort. Exposure: Drug burden of psychoactive PIMs, measured by annual drug burden index (DBI). Outcomes: Gait speed, cognitive function, and dependence in activities of daily living, measured at baseline, 12, and 24 months. Analytical Approach: We used generalized linear mixed models to evaluate associations between DBI and study outcomes. Results: Over half (n = 224, 57%) of the 394 patients in our cohort had ≥1 psychoactive PIM prescriptions in the 2-year follow-up period. The most prescribed psychoactive PIMs were gabapentin, zolpidem/eszopiclone, and tramadol. Overall mean (SD) annual DBI at 12 months and 24 months was 1.92 (3.66) and 2.13 (3.89), respectively. We observed a clinically significant 0.07 m/s decline in mean gait speed from 0-12 months, which was not significant in adjusted models. We observed no significant relationship between DBI and cognitive change. Activities of daily living dependence increased from 0-12 months for patients with higher annual DBI (OR, 1.15; 95% CI, 1.01-1.30), but this did not persist from 12-24 months. Limitations: There are elements of missingness in these retrospective data, which did not impact findings per sensitivity analysis. We used Medicare Part D claims for medication exposure, but we cannot confirm patients took medications as indicated. Conclusions: Although most patients had ≥1 psychoactive PIM prescription, we did not observe a significant association between annual DBI and declining functional status that persisted over time.

Indexed as

Activities of daily livingdialysisfunctional statuspotentially inappropriate medicationsrenal failure

Identifiers

PMID42206209
PMCPMC13202272

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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.