Evidence map›Paper›PMID 34514677›Full record

ArticleAddiction (Abingdon, England)2022

Association between discontinuing chronic opioid therapy and newly diagnosed substance use disorders, accidents, self-inflicted injuries and drug overdoses within the prescribers' health care system: a retrospective cohort study.

Corey J Hayes, Erin E Krebs, Chenghui Li, Joshua Brown, Teresa Hudson, Bradley C Martin

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. 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.

Corey J HayesDivision of Health Services Research, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0002-7776-6157
Erin E KrebsCenter for Care Delivery and Outcomes Research, Minneapolis VA Healthcare System, Minneapolis, MN, USA.ORCID 0000-0003-0843-7410
Chenghui LiDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0002-2778-5149
Joshua BrownCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-2973-1021
Teresa HudsonDivision of Health Services Research, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0002-6672-6774
Bradley C MartinCenter for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-8402-3098

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

BACKGROUND AND

aimPrescribers are commonly confronted with discontinuing opioid therapy among patients prescribed chronic opioid therapy (COT). This study aimed to measure the association between discontinuing COT and diagnoses of substance use disorders (SUDs) and opioid-related adverse outcomes (AOs).

designRetrospective cohort study.

settingUnited States Veterans Healthcare Administration.

participantsVeterans with chronic pain on COT who discontinued opioid therapy were compared with those continuing COT using data from fiscal years 2009 to 2015. MEASUREMENTS: Newly diagnosed substance use disorders (SUD composite; individual types: opioid, non-opioid drug and alcohol use disorders) and opioid-related adverse outcomes (AO composite; individual types: accidents resulting in wounds/injuries, opioid-related accidents/overdoses, alcohol and non-opioid medication-related accidents/overdoses, self-inflicted injuries and violence-related injuries) were evaluated. Primary analyses were conducted using 1:1 matching of discontinuers with those continuing COT based on propensity score and index date (±180-day window). Sensitivity analyses were conducted using logistic regressions with stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models.

findingsA total of 15 695 (75.4%) and 17 337 (76.6%) discontinuers were matched with those continuing COT among the cohorts testing SUD and AO development respectively. In the primary propensity score matched analyses, the composite SUD outcome was not different between discontinuers and those continuing COT (OR = 0.932, 95% CI = 0.850, 1.022). The composite AO outcome was lower among discontinuers (OR = 0.660, 95% CI = 0.623, 0.699) compared with those continuing COT. SIPTW analyses found lower SUD (OR = 0.789, 95% CI = 0.743, 0.837), and AO (OR = 0.660, 95% CI = 0.623, 0.699) rates among discontinuers. IV models found mixed and sometimes contradictory results.

conclusionsDiscontinuing patients from chronic opioid therapy appears to be associated with decreased diagnoses for opioid-related adverse outcomes. The association with substance use disorders appears to be inconclusive.

Indexed as

AlcoholismDrug OverdoseOpiate OverdoseSubstance-Related DisordersAccidentsAnalgesics, OpioidDelivery of Health CareHumansRetrospective StudiesAnalgesics, OpioidChronic opioid therapy discontinuationopioid overdoseopioid prescribingopioid-related adverse outcomesopioidssubstance use disorders

Identifiers

PMID34514677
PMCPMC8904270

What OpenQuestion holds

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Registered trials

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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.