Evidence map›Paper›PMID 39418209›Full record

ArticleQJM : monthly journal of the Association of Physicians2025

Pre-emptive pharmacogenetic testing in the acute hospital setting: a cross-sectional study.

John H McDermott, Kerry Burke, Neil Fullerton, James O'Sullivan, Aleina Alex, Amy Ingham, Videha Sharma, Nicola Godfrey, Aghogho Odudu, Tania Syed and 9 more

Abstract read
In one paragraph

Article in QJM : monthly journal of the Association of Physicians, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Implementation of a Pharmacogenomic Service in a Pediatric Community Hospital.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Pharmacogenetic analyses in people with dementia in Northeast Germany.Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
  7. Review
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

19 authors.

John H McDermottManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.ORCID 0000-0002-5220-8837
Kerry BurkeDivision of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK.
Neil FullertonManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
James O'SullivanManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
Aleina AlexManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
Amy InghamManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
Videha SharmaManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
Nicola GodfreyManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.
Aghogho OduduAcute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Tania SyedAcute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Andrew StevensAcute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Rhys BeynonManchester Heart Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.
Nicholas GreavesManchester Vascular Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.
Daniel AkamAcute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Selman MirzaBiostatistics Collaboration Unit, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
Paul WilsonCentre for Primary Care and Health Services Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
Stuart WrightManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
Katherine PayneManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
William G NewmanManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, UK.

Funding

Biomedical Research Centre NIHR 203956Manchester NIHRNational Institute for Health and Care Research NIHR 301748NHSPharmacogenomics and Medicines Optimization Network of ExcellenceWellcome Trust 226922/Z/23/Z
6 · The paper itself

Abstract

backgroundPharmacogenetic-guided prescribing can be used to improve the safety and effectiveness of medicines. There are several approaches by which this intervention might be implemented in clinical practice, which will vary depending on the health system and clinical context.

aimTo understand the clinical utility of panel-based pharmacogenetic testing in patients admitted acutely to hospital and to establish variables that predict if an individual might benefit from the intervention.

designA cross-sectional study recruiting patients admitted acutely to hospital.

methodsParticipants underwent panel-based pharmacogenetic testing, and their genetic results were analysed in their context of the medicines they had been exposed to as an inpatient. The primary outcome was the proportion of patients with clinically actionable gene-drug interactions. Individual variables that predict the clinical utility of pharmacogenetic testing were established via logistic regression.

resultsGenetic and prescribing data were available for 482 inpatients (55% male; median age 61.2 years; range: 18-96), 97.9% of whom carried a pharmacogenetic result of interest. During their admission, 79.5% of patients were exposed to a medicine for which there is pharmacogenetic prescribing guidance available. Just under one in seven individuals (13.7%) had a clinically actionable gene-drug interaction. Increasing age (>50 years) was positively correlated with the likelihood (2.7-fold increased risk) of having a clinically actionable interaction.

conclusionsThese findings demonstrate the potential scale, and potential clinical utility, of pharmacogenetic testing as an intervention, highlighting the need to develop infrastructure to support healthcare professionals make use of this emerging tool.

Indexed as

Pharmacogenomic TestingAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle AgedPharmacogeneticsYoung Adult

Identifiers

PMID39418209
PMCPMC12051386

What OpenQuestion holds

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Registered trials

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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.