Evidence map›Paper›PMID 34003273›Full record

Trial reportJAMA network open2021

Association of Opioid Consumption Profiles After Hospitalization With Risk of Adverse Health Care Events.

Siyana Kurteva, Michal Abrahamowicz, Tara Gomes, Robyn Tamblyn

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.1field-weighted citation impact, top 3% 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.

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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
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  7. Article
  8. Article
  9. Predicting drug overdose and death after "before medically advised" hospital discharge.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  10. Review
  11. Article
  12. Therapeutic Efficacy of Medicinal Plants with Allopathic Medicine in Musculoskeletal Diseases.International journal of plant, animal and environmental sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Siyana KurtevaDepartment of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada.
Michal AbrahamowiczDepartment of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada.
Tara GomesInstitute of Health Policy Management and Evaluation, Toronto, Ontario, Canada.
Robyn TamblynDepartment of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada.
McGill University · CAInstitute for Clinical Evaluative Sciences · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Although better pain management has guided policies for opioid use over the past few decades, evidence is limited regarding how patterns of use are associated with the risk of potentially avoidable opioid-related adverse events. Objective: To estimate the risk of harms associated with opioid dose and duration of use, and to ascertain whether the risk is modified by treatment indication and age. Design, Setting, and Participants: This ad hoc cohort study followed up patients who were enrolled in a cluster randomized trial of medication reconciliation between October 1, 2014, and November 30, 2016, 12 months after they were discharged from the McGill University Health Centre in Montreal, Quebec, Canada. To be eligible for this study, patients needed to have filled at least 1 opioid prescription 3 months after discharge. Patients with a history of using methadone or buprenorphine were excluded. Data analyses were performed between February 1, 2019, and February 28, 2020. Exposures: Time-varying measures of opioid use included current use, daily morphine milligram equivalent (MME) dose, cumulative and continuous use duration, and type of ingredients in prescription opioids used. Hospitalization records, dispensed prescriptions records, and postdischarge interviews were used to evaluate adherence to the opioid prescriptions after discharge. Main Outcomes and Measures: Opioid-related emergency department visits, hospital readmissions, or all-cause death. Outcomes were ascertained using provincial medical services claims and hospitalization databases. Results: Of 3486 participants in the cluster randomized trial (mean [SD] age of 69.6 [14.9] years; 2010 men [57.7%]), 1511 patients were included in this ad hoc cohort study. Among those with at least 1 opioid dispensation, 241 patients (15.9%) experienced an opioid-related emergency department visit, hospital readmission, or death. Results from marginal structural Cox proportional hazards regression models showed more than a 2-fold increase in the risk of opioid-related adverse events associated with a cumulative use duration of more than 90 days (adjusted hazard ratio, 2.56; 95% CI, 1.25-5.27) compared with 1 to 30 days. A 3-fold risk increase was found with a mean daily dose higher than 90 MME (adjusted hazard ratio, 3.51; 95% CI, 1.58-7.82) compared with 90 MME or lower. Conclusions and Relevance: This study found an association between risk of adverse health care events and higher opioid doses and longer treatment duration. This finding can inform policies for limiting opioid duration and dose to attenuate the risk of avoidable morbidity.

Indexed as

Medication ReconciliationPatient DischargeAdolescentAdultAgedAged, 80 and overAnalgesics, OpioidCohort StudiesDrug-Related Side Effects and Adverse ReactionsEmergency Service, HospitalFemaleHumansIntractable PainMaleMiddle AgedOpioid-Related DisordersAnalgesics, Opioid

Identifiers

PMID34003273
PMCPMC8132136
OpenAlexW3160738309

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.