Evidence map›Paper›PMID 37774411›Full record

SynthesisAnesthesiology2023

Association of Genetic Variants with Postsurgical Pain: A Systematic Review and Meta-analyses.

Stephan G Frangakis, Mark MacEachern, T Adam Akbar, Christian Bolton, Victor Lin, Albert V Smith, Chad M Brummett, Mark C Bicket

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  8. Observational
  9. Do Diabetes and Genetic Polymorphisms in theJournal of clinical medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Stephan G FrangakisDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Mark MacEachernTaubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan.
T Adam AkbarDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan. Current Position: Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois.
Christian BoltonDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Victor LinVictor Lin, D.O., Ph.D.; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Albert V SmithDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Chad M BrummettDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan; Opioid Prescribing and Engagement Network, Institute for Healthcare Innovation and Policy, University of Michigan, Ann Arbor, Michigan.
Mark C BicketDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan; Opioid Prescribing and Engagement Network, Institute for Healthcare Innovation and Policy, University of Michigan, Ann Arbor, Michigan.
Committee on Publication Ethics · GBInstituto de Geocronología y Geología Isotópica · ARNorthwestern University · USSchool of the Art Institute of Chicago · USUniversity of Michigan · US

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
University of Michigan Anesthesiology Post-Doctoral Research Training ProgramT32GM103730 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chad M Brummett, SACHIN KHETERPAL · 2014 to 2026
$1.9M
Genetic Markers of Chronic Postsurgical PainK08AR082454 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Stephan Frangakis · 2023 to 2026
$697k
NIAMS NIH HHS K08 AR082454NIGMS NIH HHS T32 GM103730NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

backgroundPostsurgical pain is a key component of surgical recovery. However, the genetic drivers of postsurgical pain remain unclear. A broad review and meta-analyses of variants of interest will help investigators understand the potential effects of genetic variation.

methodsThis article is a systematic review of genetic variants associated with postsurgical pain in humans, assessing association with postsurgical pain scores and opioid use in both acute (0 to 48 h postoperatively) and chronic (at least 3 months postoperatively) settings. PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched from 2000 to 2022 for studies using search terms related to genetic variants and postsurgical pain in humans. English-language studies in adult patients examining associations of one or more genetic variants with postsurgical pain were included. The primary outcome was association of genetic variants with either acute or chronic postsurgical pain. Pain was measured by patient-reported pain score or analgesic or opioid consumption.

resultsA total of 163 studies were included, evaluating 129 unique genes and 594 unique genetic variants. Many of the reported significant associations fail to be replicated in other studies. Meta-analyses were performed for seven variants for which there was sufficient data (OPRM1 rs1799971; COMT rs4680, rs4818, rs4633, and rs6269; and ABCB1 rs1045642 and rs2032582). Only two variants were associated with small differences in postsurgical pain: OPRM1 rs1799971 (for acute postsurgical opioid use standard mean difference = 0.25; 95% CI, 0.16 to 0.35; cohort size, 8,227; acute postsurgical pain score standard mean difference = 0.20; 95% CI, 0.09 to 0.31; cohort size, 4,619) and COMT rs4680 (chronic postsurgical pain score standard mean difference = 0.26; 95% CI, 0.08 to 0.44; cohort size, 1,726).

conclusionsDespite much published data, only two alleles have a small association with postsurgical pain. Small sample sizes, potential confounding variables, and inconsistent findings underscore the need to examine larger cohorts with consistent outcome measures. EDITOR’S PERSPECTIVE:

Indexed as

Analgesics, OpioidPolymorphism, Single NucleotideAdultAnalgesicsHumansPostoperative PainAnalgesicsAnalgesics, Opioid

Identifiers

PMID37774411
PMCPMC10859728
OpenAlexW4387161843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.