Evidence map›Paper›PMID 34723956›Full record

ArticlePLoS medicine2021

Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study.

Meghna Jani, Nadyne Girard, David W Bates, David L Buckeridge, Therese Sheppard, Jack Li, Usman Iqbal, Shelly Vik, Colin Weaver, Judy Seidel and 2 more

Abstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  18. Therapeutic Efficacy of Medicinal Plants with Allopathic Medicine in Musculoskeletal Diseases.International journal of plant, animal and environmental sciences · 2024
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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

12 authors.

Meghna JaniCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-1487-277X
Nadyne GirardDepartment of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada.
David W BatesHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-6268-1540
David L BuckeridgeDepartment of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada.
Therese SheppardCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom.
Jack LiInternational Centre for Health Information Technology (ICHIT), Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0001-6497-4232
Usman IqbalInternational Centre for Health Information Technology (ICHIT), Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0002-0614-123X
Shelly VikApplied Research and Evaluation Services, Alberta Health Services, Calgary, Canada.ORCID 0000-0001-9977-8063
Colin WeaverApplied Research and Evaluation Services, Alberta Health Services, Calgary, Canada.
Judy SeidelApplied Research and Evaluation Services, Alberta Health Services, Calgary, Canada.
William G DixonCentre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-5881-4857
Robyn TamblynDepartment of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada.ORCID 0000-0003-0134-6954

Funding

CIHR MOP-111166Department of Health NIHR301413
6 · The paper itself

Abstract

backgroundThe opioid epidemic in North America has been driven by an increase in the use and potency of prescription opioids, with ensuing excessive opioid-related deaths. Internationally, there are lower rates of opioid-related mortality, possibly because of differences in prescribing and health system policies. Our aim was to compare opioid prescribing rates in patients without cancer, across 5 centers in 4 countries. In addition, we evaluated differences in the type, strength, and starting dose of medication and whether these characteristics changed over time. METHODS AND

findingsWe conducted a retrospective multicenter cohort study of adults who are new users of opioids without prior cancer. Electronic health records and administrative health records from Boston (United States), Quebec and Alberta (Canada), United Kingdom, and Taiwan were used to identify patients between 2006 and 2015. Standard dosages in morphine milligram equivalents (MMEs) were calculated according to The Centers for Disease Control and Prevention. Age- and sex-standardized opioid prescribing rates were calculated for each jurisdiction. Of the 2,542,890 patients included, 44,690 were from Boston (US), 1,420,136 Alberta, 26,871 Quebec (Canada), 1,012,939 UK, and 38,254 Taiwan. The highest standardized opioid prescribing rates in 2014 were observed in Alberta at 66/1,000 persons compared to 52, 51, and 18/1,000 in the UK, US, and Quebec, respectively. The median MME/day (IQR) at initiation was highest in Boston at 38 (20 to 45); followed by Quebec, 27 (18 to 43); Alberta, 23 (9 to 38); UK, 12 (7 to 20); and Taiwan, 8 (4 to 11). Oxycodone was the first prescribed opioid in 65% of patients in the US cohort compared to 14% in Quebec, 4% in Alberta, 0.1% in the UK, and none in Taiwan. One of the limitations was that data were not available from all centers for the entirety of the 10-year period.

conclusionsIn this study, we observed substantial differences in opioid prescribing practices for non-cancer pain between jurisdictions. The preference to start patients on higher MME/day and more potent opioids in North America may be a contributing cause to the opioid epidemic.

Indexed as

AdolescentAdultAgedAnalgesics, OpioidCanadaCohort StudiesDose-Response Relationship, DrugDrug PrescriptionsFemaleHumansMaleMiddle AgedMorphinePainTaiwanUnited KingdomAnalgesics, OpioidMorphine

Identifiers

PMID34723956
PMCPMC8601614

What OpenQuestion holds

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LicenceCC BY
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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.