Evidence map›Paper›PMID 37930512›Full record

Observational studyJournal of general internal medicine2024

Prescription Opioid Dose Reductions and Potential Adverse Events: a Multi-site Observational Cohort Study in Diverse US Health Systems.

Verena E Metz, G Thomas Ray, Vanessa Palzes, Ingrid Binswanger, Andrea Altschuler, Ruchir N Karmali, Brian K Ahmedani, Susan E Andrade, Joseph A Boscarino, Robin E Clark and 10 more

Open access · bronzeAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. 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

20 authors at 11 institutions in 1 country.

Verena E MetzKaiser Permanente Northern California, Division of Research, Center for Addiction and Mental Health Research, Oakland, CA, USA. verena.e.metz@kp.org.
G Thomas RayKaiser Permanente Northern California, Division of Research, Center for Addiction and Mental Health Research, Oakland, CA, USA.
Vanessa PalzesKaiser Permanente Northern California, Division of Research, Center for Addiction and Mental Health Research, Oakland, CA, USA.
Ingrid BinswangerInstitute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA.
Andrea AltschulerKaiser Permanente Northern California, Division of Research, Center for Addiction and Mental Health Research, Oakland, CA, USA.
Ruchir N KarmaliMathematica, Oakland, CA, USA.
Brian K AhmedaniCenter for Health Policy & Health Services Research, Henry Ford Health, Detroit, MI, USA.
Susan E AndradeMeyers Primary Care Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Joseph A BoscarinoDepartment of Population Health Sciences, Geisinger Clinic, Danville, PA, USA.
Robin E ClarkDepartment of Family Medicine and Community Health, University of Massachusetts Chan School of Medicine, Worcester, MA, USA.
Irina V HallerEssentia Institute of Rural Health, Duluth, MN, USA.
Rulin C HechterDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Douglas W RoblinMid-Atlantic Permanente Research Institute, Kaiser Permanente, Rockville, MD, USA.
Katherine SanchezBaylor Scott & White Research Institute, Dallas, TX, USA.
Steffani R BaileyDepartment of Family Medicine, Oregon Health & Science University, Portland, OR, USA.
Dennis McCartyOHSU-PSU School of Public Health, Portland, OR, USA.
Kari A StephensDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Carmen L RosaCenter for the Clinicals Trials Network, National Institute On Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Andrea L RubinsteinDepartment of Pain Medicine, The Permanente Medical Group, Santa Rosa, CA, USA.
Cynthia I CampbellKaiser Permanente Northern California, Division of Research, Center for Addiction and Mental Health Research, Oakland, CA, USA.
Kaiser Permanente · USOregon Health & Science University · USEssentia Health · USGeisinger Health System · USHenry Ford Health System · USKaiser Permanente Santa Rosa Medical Center · USMathematica Policy Research · USNational Institutes of Health · USThe University of Texas at Arlington · USUniversity of Massachusetts Chan Medical School · USUniversity of Washington · US

Funding

Project-002UG1DA040314 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Ingrid A Binswanger, CYNTHIA I CAMPBELL · 2015 to 2026
$34.9M
Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
NIDA NIH HHS 3UG1DA040314NIDA NIH HHS UG1 DA013714NIDA NIH HHS UG1 DA015815NIDA NIH HHS UG1 DA040314
6 · The paper itself

Abstract

backgroundIn response to the opioid crisis in the United States, population-level prescribing of opioids has been decreasing; there are concerns, however, that dose reductions are related to potential adverse events.

objectiveExamine associations between opioid dose reductions and risk of 1-month potential adverse events (emergency department (ED) visits, opioid overdose, benzodiazepine prescription fill, all-cause mortality).

designThis observational cohort study used electronic health record and claims data from eight United States health systems in a prescription opioid registry (Clinical Trials Network-0084). All opioid fills (excluding buprenorphine) between 1/1/2012 and 12/31/2018 were used to identify baseline periods with mean morphine milligram equivalents daily dose of  ≥ 50 during six consecutive months. PATIENTS: We identified 60,040 non-cancer patients with  ≥ one 2-month dose reduction period (600,234 unique dose reduction periods). MAIN MEASURES: Analyses examined associations between dose reduction levels (1- < 15%, 15- < 30%, 30- < 100%, 100% over 2 months) and potential adverse events in the month following a dose reduction using logistic regression analysis, adjusting for patient characteristics. KEY

resultsOverall, dose reduction periods involved mean reductions of 18.7%. Compared to reductions of 1- < 15%, dose reductions of 30- < 100% were associated with higher odds of ED visits (OR 1.14, 95% CI 1.10, 1.17), opioid overdose (OR 1.41, 95% CI 1.09-1.81), and all-cause mortality (OR 1.39, 95% CI 1.16-1.67), but lower odds of a benzodiazepine fill (OR 0.83, 95% CI 0.81-0.85). Dose reductions of 15- < 30%, compared to 1- < 15%, were associated with higher odds of ED visits (OR 1.08, 95% CI 1.05-1.11) and lower odds of a benzodiazepine fill (OR 0.93, 95% CI 0.92-0.95), but were not associated with opioid overdose and all-cause mortality.

conclusionsLarger reductions for patients on opioid therapy may raise risk of potential adverse events in the month after reduction and should be carefully monitored.

Indexed as

Analgesics, OpioidAdultAgedBenzodiazepinesCohort StudiesDrug TaperingEmergency Service, HospitalFemaleHumansMaleMiddle AgedOpiate OverdoseUnited StatesYoung AdultAnalgesics, OpioidBenzodiazepinesall-cause mortalitybenzodiazepine prescription fillemergency department visitopioid dose reductionopioid overdose

Identifiers

PMID37930512
PMCPMC11074095
OpenAlexW4388423629

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.