Evidence map›Paper›PMID 40614131›Full record

ArticleJournal of the American Geriatrics Society2025

Polypharmacy's Association With Mortality: Confounding From Underlying Morbidity.

Emma Bjørk, Christopher T Rentsch, Rishi J Desai, Jacob H Andersen, Carina Lundby, Anton Pottegård

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Observational
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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.

Emma BjørkHospital Pharmacy Funen, Odense University Hospital, Odense, Denmark.ORCID 0000-0001-6794-1479
Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-1408-7907
Rishi J DesaiDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Jacob H AndersenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Carina LundbyHospital Pharmacy Funen, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-2121-6252
Anton PottegårdHospital Pharmacy Funen, Odense University Hospital, Odense, Denmark.

Funding

University of Southern Denmark and the Danish Independent Research Council 2034-00305B
6 · The paper itself

Abstract

backgroundStudies consistently associate use of multiple medications with increased mortality. However, such studies often lack adequate adjustment for confounding, particularly from underlying diseases.

objectiveTo illustrate challenges in studying the association between polypharmacy and mortality by examining this relationship in two separate populations.

methodsA register-based nationwide study utilizing a cohort of all Danish citizens admitted to nursing homes 2015-2021 (n = 95,057) and a community dwelling population cohort aged ≥ 65 years (n = 1,005,963). We examined the 1-year mortality using a Kaplan Meier plot from date of nursing home admission or index date and modeled the association between the number of medications used and death using restricted cubic splines with varying levels of adjustment. Further, we modeled the association between the 20 most used drugs and 1-year mortality.

resultsIn the nursing home cohort, we found an approximately linear increase in mortality with the number of medications used. Adjusting for sex, age, and comorbidities markedly attenuated the association from an odds ratio of 4.70 (95% CI: 4.24-5.21) to 2.23 (95% CI: 1.99-2.49). Paradoxical associations were observed for individual drug classes, such as antidementia drugs showing a strong inverse association with mortality. When examining the stability of the number of drugs used over time, we found considerable fluctuations for individual residents. In the community dwelling population cohort, adjustment for covariates showed an even stronger impact on the association, reducing the odds ratio from 10.39 (95% CI: 9.79-11.03) to 1.34 (95% CI: 1.25-1.43). Further, the individual-level use of medication was found to be stable over time in the general population.

conclusionThe association between levels of polypharmacy and mortality is strongly affected by confounding by indication. Basic adjustment for comorbidities attenuates but does not fully eliminate the association, with residual association possibly driven by residual confounding. This emphasizes the need for cautious interpretation of findings associating high use of medication with mortality.

Indexed as

MortalityPolypharmacyAgedAged, 80 and overCohort StudiesComorbidityDenmarkFemaleHumansIndependent LivingMaleNursing HomesRegistriesdrug therapymortalitynursing homepharmacoepidemiologypolypharmacy

Identifiers

PMID40614131
PMCPMC12396175

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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.