Evidence map›Paper›PMID 35695189›Full record

ArticlePharmacoepidemiology and drug safety2022

Association between opioid therapy trajectories and potential opioid-related adverse health events.

Corey J Hayes, Ruston M Koonce, Laura Elisabeth Gressler, Bo Hu, James Silas Williams, Bradley C Martin

Open access · greenAbstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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 at 2 institutions in 1 country.

Corey J HayesDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Ruston M KoonceDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID 0000-0002-4043-2583
Laura Elisabeth GresslerDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Bo HuCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas, USA.
James Silas WilliamsCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas, USA.
Bradley C MartinDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID 0000-0001-8402-3098
Central Arkansas Veterans Healthcare System · USUniversity of Arkansas for Medical Sciences · US

Funding

Translational Training in AddictionT32DA022981 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI Melissa Jean Zielinski · 2009 to 2026
$6.1M
Impact of Opioid Dosing Strategies on Pain Scores and Adverse or Unintended Clinical OutcomesR36DA046717 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI HAYES, COREY J · 2018 to 2018
$54k
NIDA NIH HHS R36 DA046717NIDA NIH HHS T32 DA022981
6 · The paper itself

Abstract

purposeWe identified associations between membership in seven group-based trajectories based on supply of filled opioid prescriptions and potential opioid-related adverse health events over a 720-day window.

methodsWe identified two veteran cohorts with chronic non-cancer pain who initiated treatment with long-term opioid therapy between 2008 and 2015, excluding those with prior substance use disorder (n = 373 941) or non-SUD, opioid-related adverse outcome (n = 405 631) diagnoses. Outcomes of interest included opioid use disorder, non-opioid drug use disorder, and alcohol use disorder for the first cohort; or accidents resulting in wounds or injuries, self-inflicted injuries, opioid-related accidents and overdoses, alcohol and non-opioid drug-related accidents and overdoses, and violence-related injuries for the second cohort. Using a cross-sectional design, Veterans were followed until the specific outcome of interest was diagnosed, they died, the study ended, or they were lost to follow up. Accelerated failure time models were estimated for each outcome.

resultsMembership in persistent moderate days covered and persistent modest days covered trajectories was associated with decreased risk of opioid use disorder (Moderate: θ = 0.59, 95%CI:0.54, 0.64; Modest: θ = 0.54, 95%CI:0.50, 0.59) and opioid overdose (Moderate: θ = 0.67,95%CI: 0.57, 0.79; Modest: θ = 0.72, 95%CI:0.61, 0.85) versus higher-utilizing persistent users. Rapid discontinuation was associated with decreased risk of opioid use disorder (θ = 0.86, 95% CI:0.77, 0.95) and opioid overdose (θ = 0.54, 95%CI:0.41, 0.71), but increased risk of alcohol use disorder (θ = 1.07, 95%CI:1.00, 1.15) and other substance use disorders. Delayed discontinuation or delayed reduction was associated with increased risk for most opioid related adverse health events.

conclusionPersistent use trajectories with low levels of opioid utilization were associated with lower risks of potential opioid-related adverse health events.

Indexed as

AlcoholismChronic PainDrug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidCross-Sectional StudiesHumansRetrospective StudiesAnalgesics, Opioidgroup-based trajectorieslong-term opioid therapyopioid-related adverse outcomes

Identifiers

PMID35695189
PMCPMC10052807
OpenAlexW4282834201

What OpenQuestion holds

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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.