Evidence map›Paper›PMID 36197665›Full record

ArticleJAMA network open2022

Opioid Dose Trajectories and Associations With Mortality, Opioid Use Disorder, Continued Opioid Therapy, and Health Plan Disenrollment.

Ingrid A Binswanger, Susan M Shetterly, Stanley Xu, Komal J Narwaney, David L McClure, Deborah J Rinehart, Anh P Nguyen, Jason M Glanz

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Ingrid A BinswangerInstitute for Health Research, Kaiser Permanente Colorado, Aurora.
Susan M ShetterlyInstitute for Health Research, Kaiser Permanente Colorado, Aurora.
Stanley XuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Komal J NarwaneyInstitute for Health Research, Kaiser Permanente Colorado, Aurora.
David L McClureCenter for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin.
Deborah J RinehartDivision of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora.
Anh P NguyenInstitute for Health Research, Kaiser Permanente Colorado, Aurora.
Jason M GlanzInstitute for Health Research, Kaiser Permanente Colorado, Aurora.
Kaiser Permanente · USColorado School of Public Health · USHealth and Hospital Corporation · USMarshfield Clinic · US

Funding

Assessing the Safety and Effectiveness of Opioid Tapering in Large Health SystemsR01DA047537 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BINSWANGER, INGRID A, GLANZ, JASON M · 2019 to 2022
$2.6M
NIDA NIH HHS R01 DA047537
6 · The paper itself

Abstract

Importance: Uncertainty remains about the longer-term benefits and harms of different opioid management strategies, such as tapering and dose escalation. For instance, opioid tapering could help patients reduce opioid exposure to prevent opioid use disorder, but patients may also seek care elsewhere and engage in nonprescribed opioid use. Objective: To evaluate the association between opioid dose trajectories observed in practice and patient outcomes. Design, Setting, and Participants: This retrospective cohort study was conducted in 3 health systems in Colorado and Wisconsin. The study population included patients receiving long-term opioid therapy between 50 and 200 morphine milligram equivalents between August 1, 2014, and July 31, 2017. Follow-up ended on December 31, 2019. Data were analyzed from January 2020 to August 2022. Exposures: Group-based trajectory modeling identified 5 dosing trajectories over 1 year: 1 decreasing, 1 high-dose increasing, and 3 stable. Main Outcomes and Measures: Primary outcomes assessed after the trajectory period were 1-year all-cause mortality, incident opioid use disorder, continued opioid therapy at 1 year, and health plan disenrollment. Associations were tested using Cox proportional hazards regression and log-binomial models, adjusting for baseline covariates. Results: A total of 3913 patients (mean [SD] age, 59.2 [14.4] years; 2767 White non-Hispanic [70.7%]; 2237 female patients [57.2%]) were included in the study. Compared with stable trajectories, the decreasing dose trajectory was negatively associated with opioid use disorder (adjusted hazard ratio [aHR], 0.40; 95% CI, 0.29-0.55) and continued opioid therapy (site 1: adjusted relative risk [aRR], 0.39; 95% CI, 0.34-0.44), but was positively associated with health plan disenrollment (aHR, 1.66; 95% CI, 1.24-2.22). The decreasing trajectory was not associated with mortality (aHR, 1.28; 95% CI, 0.87-1.86). In contrast, the high-dose increasing trajectory was positively associated with mortality (aHR, 2.19; 95% CI, 1.44-3.32) and opioid use disorder (aHR, 1.81; 95% CI, 1.39-2.37) but was not associated with disenrollment (aHR, 0.90; 95% CI, 0.56-1.42) or continued opioid therapy (site 1: aRR, 0.98; 95% CI, 0.94-1.03). Conclusions and Relevance: In this cohort study, decreasing opioid dose was associated with reduced risk of opioid use disorder and continued opioid therapy but increased risk of disenrollment compared with stable dosing, whereas the high-dose increasing trajectory was associated with an increased risk of mortality and opioid use disorder. These findings can inform opioid management decision-making.

Indexed as

Analgesics, OpioidOpioid-Related DisordersAgedCohort StudiesFemaleHumansMaleMiddle AgedMorphine DerivativesRetrospective StudiesAnalgesics, OpioidMorphine Derivatives

Identifiers

PMID36197665
PMCPMC9535531
OpenAlexW4302009302

What OpenQuestion holds

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LicenceCC BY
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.