Evidence map›Paper›PMID 34376788›Full record

SynthesisThe pharmacogenomics journal2021

Appraisal and development of evidence-based clinical decision support to enable perioperative pharmacogenomic application.

Brittany A Borden, Ellie H Jhun, Keith Danahey, Emily Schierer, Jeffrey L Apfelbaum, Magdalena Anitescu, Randall Knoebel, Sajid Shahul, Tien M Truong, Mark J Ratain and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Clinical Impact of theJournal of personalized medicine · 2023
    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

11 authors.

Brittany A Borden *Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Ellie H Jhun *Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA.
Keith DanaheyCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Emily SchiererCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Jeffrey L ApfelbaumDepartment of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA.
Magdalena AnitescuDepartment of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA.
Randall KnoebelDepartment of Pharmacy, University of Chicago Medicine, Chicago, IL, USA.
Sajid ShahulDepartment of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA.
Tien M TruongCenter for Personalized Therapeutics, University of Chicago, Chicago, IL, USA.
Mark J RatainCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Peter H O'DonnellCommittee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA. podonnel@medicine.bsd.uchicago.edu.ORCID http://orcid.org/0000-0003-2650-0049

Funding

CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Implementation of Point-of-Care Pharmacogenomic Decision Support in Perioperative Care - Resubmission 01R01HG009938 · NHGRI · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2018 to 2022
$4.0M
NCI NIH HHS L30 CA246694NHGRI NIH HHS R01 HG009938NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

Variable responses to medications complicates perioperative care. As a potential solution, we evaluated and synthesized pharmacogenomic evidence that may inform anesthesia and pain prescribing to identify clinically actionable drug/gene pairs. Clinical decision-support (CDS) summaries were developed and were evaluated using Appraisal of Guidelines for Research and Evaluation (AGREE) II. We found that 93/180 (51%) of commonly-used perioperative medications had some published pharmacogenomic information, with 18 having actionable evidence: celecoxib/diclofenac/flurbiprofen/ibuprofen/piroxicam/CYP2C9, codeine/oxycodone/tramadol CYP2D6, desflurane/enflurane/halothane/isoflurane/sevoflurane/succinylcholine/RYR1/CACNA1S, diazepam/CYP2C19, phenytoin/CYP2C9, succinylcholine/mivacurium/BCHE, and morphine/OPRM1. Novel CDS summaries were developed for these 18 medications. AGREE II mean ± standard deviation scores were high for Scope and Purpose (95.0 ± 2.8), Rigor of Development (93.2 ± 2.8), Clarity of Presentation (87.3 ± 3.0), and Applicability (86.5 ± 3.7) (maximum score = 100). Overall mean guideline quality score was 6.7 ± 0.2 (maximum score = 7). All summaries were recommended for clinical implementation. A critical mass of pharmacogenomic evidence exists for select medications commonly used in the perioperative setting, warranting prospective examination for clinical utility.

Indexed as

Decision Support TechniquesPerioperative CarePharmacogeneticsPharmacogenomic TestingPharmacogenomic VariantsAnalgesicsAnestheticsClinical Decision-MakingEvidence-Based MedicineHumansPredictive Value of TestsRisk AssessmentRisk FactorsAnalgesicsAnesthetics

Identifiers

PMID34376788
PMCPMC9267777

What OpenQuestion holds

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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.