Evidence map›Paper›PMID 41593048›Full record

ArticleThe pharmacogenomics journal2026

Use of medications with pharmacogenomic guidelines and adverse outcomes in hospitalised older patients: a retrospective cross-sectional study.

Victoria David, Ciarán D McInerney, Justine Tomlinson, Eleanor Bryant, Gurdeep S Sagoo, V-Lin Cheong, Heather Smith, Beth Fylan, Marcus Rattray

Abstract read
In one paragraph

Article in The pharmacogenomics journal, 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

9 authors.

Victoria DavidSchool of Pharmacy, Optometry and Medical Sciences, Faculty of Health and Social Care, University of Bradford, Bradford, UK. victoria.david@nhs.net.
Ciarán D McInerneyAcademic Unit of Primary Medical Care, University of Sheffield, Sheffield, UK.
Justine TomlinsonSchool of Pharmacy, Optometry and Medical Sciences, Faculty of Health and Social Care, University of Bradford, Bradford, UK. j.e.c.tomlinson@bradford.ac.uk.ORCID 0000-0003-3911-0701
Eleanor BryantWolfson Centre for Applied Health Research, Bradford, UK.ORCID 0000-0003-0743-180X
Gurdeep S SagooPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK.
V-Lin CheongMedicines Management and Pharmacy Services, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0001-9938-1592
Heather SmithNHS West Yorkshire Integrated Care Board, wakefield, UK.
Beth FylanSchool of Pharmacy, Optometry and Medical Sciences, Faculty of Health and Social Care, University of Bradford, Bradford, UK.ORCID 0000-0003-0599-4537
Marcus RattraySchool of Pharmacy, Optometry and Medical Sciences, Faculty of Health and Social Care, University of Bradford, Bradford, UK.ORCID 0000-0002-6620-9830

Funding

National Institute for Health Research (NIHR)
6 · The paper itself

Abstract

This study aimed to assess the prevalence of the use of medications with pharmacogenomic guidelines upon hospital admission in patients aged 65 and over and evaluate its association with adverse outcomes, including length of stay, unplanned admissions, and repeat hospital admissions. A retrospective cross-sectional study was conducted using hospital admissions data from 2018-2019 in one NHS hospital trust in England, focusing on patients aged 65 and over. The usage of medications with pharmacogenomic guidelines was examined, and comparisons were made between their prevalence in unplanned and planned admissions. Multivariable models assessed whether the use of medications with pharmacogenomic guidelines were associated with adverse outcomes, considering frailty status. Analysis of 59,973 admissions revealed 67 pharmacogenomics medicines as per the Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines, with 11 classified as high-risk among 1438 unique medicines identified from 560,179 recorded medications. Notably, unplanned admissions exhibited a higher prevalence of medications with pharmacogenomic guidelines (84% versus 64%, p < 0.001) compared to planned admissions. The models demonstrated the usage of these medications was associated with adverse outcomes (length of stay in hospital, unplanned admission and repeat hospital admission) with substantial evidence (Delta_AICc < 2) particularly in patients with high frailty status. This study highlights the association between medications with pharmacogenomic guidelines and adverse outcomes, particularly among patients with high frailty. The findings emphasise the importance of integrating pharmacogenomic-guided care into the management of older individuals with frailty to mitigate adverse outcomes and enhance medication safety.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHospitalizationPharmacogeneticsPractice Guidelines as TopicAgedAged, 80 and overCross-Sectional StudiesEnglandFemaleHumansLength of StayMaleRetrospective Studies

Identifiers

PMID41593048
PMCPMC12846911

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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.