Evidence map›Paper›PMID 37688433›Full record

Observational studyAnaesthesia and intensive care2023

Prevalence and predictors of long-term opioid use following orthopaedic surgery in an Australian setting: A multicentre, prospective cohort study.

Shania Liu, Jennifer A Stevens, Ashleigh E Collins, Jed Duff, Joanna R Sutherland, Morgan D Oddie, Justine M Naylor, Asad E Patanwala, Benita M Suckling, Jonathan Penm

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

Observational study in Anaesthesia and intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

10 authors.

Shania LiuFaculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0001-7047-4621
Jennifer A StevensSchool of Medicine, Notre Dame University, Sydney, Australia.ORCID 0000-0001-9837-0031
Ashleigh E CollinsSchool of Medicine, Notre Dame University, Sydney, Australia.
Jed DuffFaculty of Health, Queensland University of Technology, Kelvin Grove, Australia.ORCID 0000-0003-1427-0303
Joanna R SutherlandRural Clinical School Coffs Harbour Campus, University of New South Wales, Coffs Harbour, Australia.ORCID 0000-0001-7302-6963
Morgan D OddieSt George Hospital, Kogarah, Australia.
Justine M NaylorWhitlam Orthopaedic Research Centre, Ingham Institute, Liverpool, Australia.
Asad E PatanwalaFaculty of Medicine and Health, University of Sydney, Sydney, Australia.
Benita M SucklingFaculty of Medicine and Health, University of Sydney, Sydney, Australia.
Jonathan PenmFaculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0001-9606-7135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioid analgesics prescribed for the management of acute pain following orthopaedic surgery may lead to unintended long-term opioid use and associated patient harms. This study aimed to examine the prevalence of opioid use at 90 days after elective orthopaedic surgery across major city, regional and rural locations in New South Wales, Australia. We conducted a prospective, observational cohort study of patients undergoing elective orthopaedic surgery at five hospitals from major city, regional, rural, public and private settings between April 2017 and February 2020. Data were collected by patient questionnaire at the pre-admission clinic 2-6 weeks before surgery and by telephone call after 90 days following surgery. Of the 361 participants recruited, 54% (195/361) were women and the mean age was 67.7 years (standard deviation 10.1 years). Opioid use at 90 or more days after orthopaedic surgery was reported by 15.8% (57/361; 95% confidence interval (CI) 12.2-20%) of all participants and ranged from 3.5% (2/57) at a major city location to 37.8% (14/37) at an inner regional location. Predictors of long-term postoperative opioid use in the multivariable analysis were surgery performed at an inner regional location (adjusted odds ratio 12.26; 95% CI 2.2-68.24) and outer regional location (adjusted odds ratio 5.46; 95% CI 1.09-27.50) after adjusting for known covariates. Long-term opioid use was reported in over 15% of patients following orthopaedic surgery and appears to be more prevalent in regional locations in Australia.

Indexed as

Analgesics, OpioidOrthopedic ProceduresAgedAustraliaFemaleHumansMalePrevalenceProspective StudiesAnalgesics, Opioidlong-term opioid useOpioidsorthopaedic surgery

Identifiers

PMID37688433
PMCPMC10493038

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Registered trials

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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.