Evidence map›Paper›PMID 34394187›Full record

SynthesisFrontiers in genetics2021

An Analysis of Pharmacogenomic-Guided Pathways and Their Effect on Medication Changes and Hospital Admissions: A Systematic Review and Meta-Analysis.

Victoria David, Beth Fylan, Eleanor Bryant, Heather Smith, Gurdeep S Sagoo, Marcus Rattray

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  16. Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
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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 at 4 institutions in 1 country.

Victoria DavidLeeds Teaching Hospitals National Health Service (NHS) Trust, Leeds, United Kingdom.
Beth FylanSchool of Pharmacy and Medical Sciences, University of Bradford, Bradford, United Kingdom.
Eleanor BryantWolfson Centre for Applied Health Research, Bradford, United Kingdom.
Heather SmithLeeds Teaching Hospitals National Health Service (NHS) Trust, Leeds, United Kingdom.
Gurdeep S SagooAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Marcus RattraySchool of Pharmacy and Medical Sciences, University of Bradford, Bradford, United Kingdom.
University of Bradford · GBLeeds Teaching Hospitals NHS Trust · GBNational Health Service · GBNIHR Leeds In Vitro Diagnostics Co-operative · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ninety-five percent of the population are estimated to carry at least one genetic variant that is discordant with at least one medication. Pharmacogenomic (PGx) testing has the potential to identify patients with genetic variants that puts them at risk of adverse drug reactions and sub-optimal therapy. Predicting a patient's response to medications could support the safe management of medications and reduce hospitalization. These benefits can only be realized if prescribing clinicians make the medication changes prompted by PGx test results. This review examines the current evidence on the impact PGx testing has on hospital admissions and whether it prompts medication changes. A systematic search was performed in three databases (Medline, CINAHL and EMBASE) to search all the relevant studies published up to the year 2020, comparing hospitalization rates and medication changes amongst PGx tested patients with patients receiving treatment-as-usual (TAU). Data extracted from full texts were narratively synthesized using a process model developed from the included studies, to derive themes associated to a suggested workflow for PGx-guided care and its expected benefit for medications optimization and hospitalization. A meta-analysis was undertaken on all the studies that report the number of PGx tested patients that had medication change(s) and the number of PGx tested patients that were hospitalized, compared to participants that received TAU. The search strategy identified 5 hospitalization themed studies and 5 medication change themed studies for analysis. The meta-analysis showed that medication changes occurred significantly more frequently in the PGx tested arm across 4 of 5 studies. Meta-analysis showed that all-cause hospitalization occurred significantly less frequently in the PGx tested arm than the TAU. The results show proof of concept for the use of PGx in prescribing that produces patient benefit. However, the review also highlights the opportunities and evidence gaps that are important when considering the introduction of PGx into health systems; namely patient involvement in PGx prescribing decisions, thus a better understanding of the perspective of patients and prescribers. We highlight the opportunities and evidence gaps that are important when considering the introduction of PGx into health systems.

Indexed as

adverse drug reactionhospital admissionmedication changemedicines optimizationpatient care pathwaypharmacogenetic testing

Identifiers

PMID34394187
PMCPMC8362615
OpenAlexW3191540481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.