Evidence map›Paper›PMID 41102119›Full record

ArticleBritish journal of anaesthesia2026

Factors associated with long-term opioid therapy discontinuation for people with chronic non-cancer pain in UK primary care: a population-based retrospective cohort study.

Qian Cai, Yun-Ting Huang, Christos Grigoroglou, Charlotte Morris, Thomas Allen, Evangelos Kontopantelis

Abstract read
In one paragraph

Article in British journal of anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Qian CaiDivision of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. Electronic address: qian.cai@manchester.ac.uk.
Yun-Ting HuangDivision of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, University of Manchester, Manchester, UK.
Christos GrigoroglouCentre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Charlotte MorrisDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; National Institute for Health and Care Research (NIHR) School for Primary Care Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; NIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, UK.
Thomas AllenCentre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Danish Centre for Health Economics, University of Southern Denmark, Odense, Denmark.
Evangelos KontopantelisDivision of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; NIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the characteristics linked to long-term opioid therapy (L-TOT) discontinuation may inform safer and personalised discontinuation strategies. This study aimed to identify factors associated with L-TOT discontinuation in people with chronic non-cancer pain (CNCP) in UK primary care.

methodsA retrospective cohort study using the Clinical Practice Research Datalink Aurum data (2000-2020) was conducted. Adults with CNCP receiving L-TOT (three or more opioid prescriptions within 90 days or ≥90 days' supply within the first year, excluding the first 30 days) were included. Discontinuation was defined as opioid-free for ≥180 days after an L-TOT. Mixed-effects logistic models with a random intercept for general practice were used to identify sociodemographic, comorbidities, lifestyle, and pharmacological factors associated with L-TOT discontinuation.

resultsAmong 573 639 L-TOT users, 5.2% (n=29 589) discontinued within the first year. Discontinuation was more likely among Asians (adjusted odds ratio [aOR], 1.31; 95% confidence interval [CI], 1.23-1.39; P<0.001), Blacks (aOR, 1.21; 95% CI, 1.13-1.31; P<0.001), non-smokers (aOR, 1.09; 95% CI, 1.05-1.12; P<0.001), those living in the least deprived area (aOR, 1.09; 95% CI, 1.04-1.14; P<0.001), those using weak and short-acting opioids (aOR, 1.50; 95% CI, 1.39-1.61), those with co-existing osteoarthritis (aOR, 1.06; 95% CI, 1.02-1.11; P=0.003), those with anxiety (aOR, 1.04; 95% CI, 1.01-1.07; P=0.003), or those co-using non-steroidal anti-inflammatory drugs (aOR, 1.06; 95% CI, 1.03-1.09; P<0.001) or benzodiazepines (aOR, 1.08; 95% CI, 1.05-1.11; P<0.001).

conclusionsThis study identified key characteristics of people with chronic non-cancer pain who are more likely to discontinue long-term opioid therapy. This may help to inform the development of tailored interventions to promote safe opioid discontinuation in primary care.

Indexed as

Analgesics, OpioidChronic PainPrimary Health CareWithholding TreatmentAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesUnited KingdomAnalgesics, Opioidchronic non-cancer paindiscontinuationgeneral practicelong-term opioid therapymixed-effect logistic regressionretrospective cohort studyUK primary care

Identifiers

PMID41102119
PMCPMC12851881

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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.