Evidence map›Paper›PMID 30940757›Full record

SynthesisBMJ open2019

Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis.

Michael M H Yang, Rebecca L Hartley, Alexander A Leung, Paul E Ronksley, Nathalie Jetté, Steven Casha, Jay Riva-Cambrin

5 registry-linked trialsOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 198 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed, 4 pooled it
31.4field-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.

NCT06099223 nacompletednot on this mapstarted 2022, after this paper: background citation

Open-Label Randomized Controlled Trial to Assess Preoperative Acupuncture for Patients Undergoing Total Knee or Hip Arthroplasty

TypeinterventionalSponsorHartford HospitalRan2022 to 2023Enrolled60ConditionsKnee Arthropathy, Hip Arthropathy, AnxietyArmsAcupuncture needles
NCT06133933 enrolling by invitationnot on this mapstarted 2021, after this paper: background citation

Total Shoulder Arthroplasty Preoperative Pain Threshold Prospective

TypeobservationalSponsorThe Cooper Health SystemRan2021 to 2027Enrolled150ConditionsTotal Shoulder Arthroplasty, Postoperative Pain, Opioid UseArmsPain Threshold using algometer/dolorimeter
NCT06991673 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Adolescent Surgery Roadmap Feasibility and Acceptability Study

TypeinterventionalSponsorUniversity of MichiganRan2025 to 2029Enrolled100ConditionsPediatric Surgical ProceduresArmsBehavioral Treatment
NCT07523321 phase4not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Perioperative Use of Dexmedetomidine-esketamine Combination on Incidence of Moderate-to-severe Pain After Spinal Surgery: a Randomized Controlled Trial

TypeinterventionalSponsorPeking University First HospitalRan2026 to 2027Enrolled274ConditionsSpinal Surgery, Pain Intensity, Dexmedetomidine, EsketamineArmsCombined dexmedetomidine-esketamine administration, Placebo administration
NCT07525999 phase4not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Perioperative Use of Dexmedetomidine-esketamine Combination on Incidence of Chronic Postsurgical Pain After Spinal Surgery: a Randomized Controlled Trial

TypeinterventionalSponsorPeking University First HospitalRan2026 to 2027Enrolled274ConditionsSpinal Surgery, Pain Intensity, Dexmedetomidine, EsketamineArmsCombined dexmedetomidine-esketamine administration, Placebo administration
3 · Its place in the literature

Who cites it

198 citing papers in PubMed, 4 syntheses or guidelines pooled it, 389 citations in OpenAlex.

  1. Pooled it
  2. Prolonged opioid use after surgery in children, adolescents, and young adults: a systematic review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
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138 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Michael M H YangDepartment of Clinical Neurosciences, Section of Neurosurgery, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0003-4907-3510
Rebecca L HartleyDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Alexander A LeungDivision of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada.
Paul E RonksleyDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Nathalie JettéDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Steven CashaDepartment of Clinical Neurosciences, Section of Neurosurgery, University of Calgary, Calgary, Alberta, Canada.
Jay Riva-CambrinDepartment of Clinical Neurosciences, Section of Neurosurgery, University of Calgary, Calgary, Alberta, Canada.
University of Calgary · CAIcahn School of Medicine at Mount Sinai · US

Funding

CIHR
6 · The paper itself

Abstract

objectivesInadequate postoperative pain control is common and is associated with poor clinical outcomes. This study aimed to identify preoperative predictors of poor postoperative pain control in adults undergoing inpatient surgery.

designSystematic review and meta-analysis DATA SOURCES: MEDLINE, Embase, CINAHL and PsycINFO were searched through October 2017. ELIGIBILITY CRITERIA: Studies in any language were included if they evaluated postoperative pain using a validated instrument in adults (≥18 years) and reported a measure of association between poor postoperative pain control (defined by study authors) and at least one preoperative predictor during the hospital stay. DATA EXTRACTION AND SYNTHESIS: Two reviewers screened articles, extracted data and assessed study quality. Measures of association for each preoperative predictor were pooled using random effects models.

resultsThirty-three studies representing 53 362 patients were included in this review. Significant preoperative predictors of poor postoperative pain control included younger age (OR 1.18 [95% CI 1.05 to 1.32], number of studies, n=14), female sex (OR 1.29 [95% CI 1.17 to 1.43], n=20), smoking (OR 1.33 [95% CI 1.09 to 1.61], n=9), history of depressive symptoms (OR 1.71 [95% CI 1.32 to 2.22], n=8), history of anxiety symptoms (OR 1.22 [95% CI 1.09 to 1.36], n=10), sleep difficulties (OR 2.32 [95% CI 1.46 to 3.69], n=2), higher body mass index (OR 1.02 [95% CI 1.01 to 1.03], n=2), presence of preoperative pain (OR 1.21 [95% CI 1.10 to 1.32], n=13) and use of preoperative analgesia (OR 1.54 [95% CI 1.18 to 2.03], n=6). Pain catastrophising, American Society of Anesthesiologists status, chronic pain, marital status, socioeconomic status, education, surgical history, preoperative pressure pain tolerance and orthopaedic surgery (vs abdominal surgery) were not associated with increased odds of poor pain control. Study quality was generally high, although appropriate blinding of predictor during outcome ascertainment was often limited.

conclusionsNine predictors of poor postoperative pain control were identified. These should be recognised as potentially important factors when developing discipline-specific clinical care pathways to improve pain outcomes and to guide future surgical pain research. PROSPERO REGISTRATION NUMBER: CRD42017080682.

Indexed as

Preoperative CareAdultAnalgesiaAnesthesia, ConductionElective Surgical ProceduresHumansPostoperative PainRisk Assessmentmeta-analysispainpain scalespostoperative painpreoperative predictorssurgery

Identifiers

PMID30940757
PMCPMC6500309
OpenAlexW2927083218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.