Evidence map›Paper›PMID 41015688›Full record

Observational studyBritish journal of anaesthesia2025

Genetic variants associated with chronic postsurgical pain: evidence from the China Surgery and Anaesthesia Cohort study.

Jie Song, Yanan Zhang, Huolin Zeng, Yanjie Dong, Wenwen Chen, Lei Yang, Yu Zeng, Huazhen Yang, Lei Liu, Shu Wen and 6 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in British journal of anaesthesia, 2025. 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. Article
  2. Article
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

16 authors.

Jie SongDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yanan ZhangDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Huolin ZengDepartment of Anaesthesiology, West China Hospital Sichuan University, Chengdu, Sichuan, China.
Yanjie DongDepartment of Anaesthesiology, West China Hospital Sichuan University, Chengdu, Sichuan, China.
Wenwen ChenDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Lei YangDepartment of Anaesthesiology, West China Hospital Sichuan University, Chengdu, Sichuan, China.
Yu ZengDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Huazhen YangDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Lei LiuDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Shu WenDepartment of Critical Care Medicine Sichuan University, Chengdu, Sichuan, China.
Jiesiwei LuoDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Yike GongDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China.
Can HouDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Bowen KeDepartment of Anaesthesiology, West China Hospital Sichuan University, Chengdu, Sichuan, China; Laboratory of Anaesthesia and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Clinical Research Center, Shenzhen Medical Academy of Research and Translation (SMART), Shenzhen, China. Electronic address: bowenke@scu.edu.cn.
Huan SongDepartment of Anaesthesiology and West China Biomedical Big Data Center, West China Hospital Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland. Electronic address: songhuan@wchscu.cn.
Qian LiDepartment of Anaesthesiology, West China Hospital Sichuan University, Chengdu, Sichuan, China. Electronic address: hxliqian@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic postsurgical pain (CPSP) is one of the most common surgery-related complications and significantly impacts patient' quality of life. However, studies exploring the underlying genetics of postsurgical pain remain limited.

methodsThis study was based on 17 025 individuals from the China Surgery and Anaesthesia Cohort. We used the Brief Pain Inventory to measure pain intensity prospectively after surgery. CPSP was defined as a dichotomous (yes, no) or continuous (based on pain intensity) variable across surgeries (abdomen, thorax, head and neck, limbs and superficial body regions and other body areas) at 3 months, and persistent pain at various postsurgical follow-up assessments. Genome-wide association analyses were conducted in 9022 individuals with genotyping data.

resultsWe identified 16 independent genome-wide significant loci associated with CPSP. Multiple approaches, including gene mapping, annotation, and multiomics colocalisation, prioritised several potential risk genes, such as ASTN1, RSU1, and C1QL3, involved in neuronal migration, extracellular signal-regulated kinase/mitogen-activated protein kinase signalling, and synaptic function. The single nucleotide polymorphism-based narrow-sense heritability was estimated to be 13.7% (5.1-22.4%) for CPSP defined as a continuous variable. The polygenic risk scores of post-traumatic stress disorder, pain all over the body, multisite chronic pain, and opioid dependence were associated with CPSP at a nominal significance level.

conclusionsThis study enhances our understanding of the genetic predisposition to chronic postsurgical pain. CLINICAL

trial registrationChinese Clinical Trial Registry (ChiCTR2000034039).

Indexed as

Chronic PainGenetic VariationPostoperative PainAdultAgedAnesthesiaChinaCohort StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPain MeasurementPolymorphism, Single NucleotideASTN1chronic postsurgical painERK signallinggeneticsNOS2

Identifiers

PMID41015688
PMCPMC12597391

What Socratic holds

Textmetadata
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 Socratic graph.