Evidence map›Paper›PMID 31851773›Full record

SynthesisPharmacoepidemiology and drug safety2020

Long-term opioid therapy definitions and predictors: A systematic review.

Ruchir N Karmali, Christopher Bush, Sudha R Raman, Cynthia I Campbell, Asheley C Skinner, Andrew W Roberts

Abstract readSystematic Review
In one paragraph

Synthesis in Pharmacoepidemiology and drug safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
–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

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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12 more citing papers are in PubMed but not listed here.

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.

Ruchir N KarmaliDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0003-0022-0946
Christopher BushDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Sudha R RamanDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Cynthia I CampbellDivision of Research, Kaiser Permanente North California, Oakland, CA, USA.
Asheley C SkinnerDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Andrew W RobertsDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Institutional Career Development CoreKL2TR002367 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI MATTHEW W MOSCONI, NICOLE L NOLLEN · 2017 to 2026
$7.3M
NCATS NIH HHS KL2 TR002367NCATS NIH HHS KL2TR002367
6 · The paper itself

Abstract

purposeThis review sought to (a) describe definitions of long-term opioid therapy (LTOT) outcome measures, and (b) identify the predictors associated with the transition from short-term opioid use to LTOT for opioid-naïve individuals.

methodsWe conducted a systematic review of the peer-reviewed literature (January 2007 to July 2018). We included studies examining opioid use for more than 30 days. We classified operationalization of LTOT based on criteria used in the definitions. We extracted LTOT predictors from multivariate models in studies of opioid-naïve individuals.

resultsThe search retrieved 5,221 studies, and 34 studies were included. We extracted 41 unique variations of LTOT definitions. About 36% of definitions required a cumulative duration of opioid use of 3 months. Only 17% of definitions considered consecutive observation periods, 27% used days' supply, and no definitions considered dose. We extracted 76 unique predictors of LTOT from seven studies of opioid-naïve patients. Common predictors included pre-existing comorbidities (21.1%), non-opioid prescription medication use (13.2%), substance use disorders (10.5%), and mental health disorders (10.5%).

conclusionsMost LTOT definitions aligned with the chronic pain definition (pain more than 3 months), and used cumulative duration of opioid use as a criterion, although most did not account for consistent use. Definitions were varied and rarely accounted for prescription characteristics, such as days' supply. Predictors of LTOT were similar to known risk factors of opioid abuse, misuse, and overdose. As LTOT becomes a central component of quality improvement efforts, researchers should incorporate criteria to identify consistent opioid use to build the evidence for safe and appropriate use of prescription opioids.

Indexed as

Analgesics, OpioidChronic PainHumansAnalgesics, Opioidanalgesicschronic painopioidoutcome measurement errors

Identifiers

PMID31851773
PMCPMC7058495

What OpenQuestion holds

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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.