Evidence map›Paper›PMID 30418260›Full record

ArticleJournal of addiction medicine

Escalating Opioid Dose Is Associated With Mortality: A Comparison of Patients With and Without Opioid Use Disorder.

Yih-Ing Hser, Andrew J Saxon, Larissa J Mooney, Karen Miotto, Yuhui Zhu, Caroline K Yoo, Di Liang, David Huang, Douglas S Bell

Abstract readComparative Study
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Patching holes in the mechanism of opioid tolerance.Trends in pharmacological sciences · 2023
    Article
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  12. Article
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yih-Ing HserUniversity of California, Los Angeles, CA (YIH, LJM, KM, YZ, CKY, DH, DSB); Veterans Affairs Puget Sound Health Care System, Seattle, WA (AJS); University of California, San Diego, CA (DL).
Andrew J Saxon
Larissa J Mooney
Karen Miotto
Yuhui Zhu
Caroline K Yoo
Di Liang
David Huang
Douglas S Bell

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881NIDA NIH HHS HHSN271201400028C
6 · The paper itself

Abstract

objectivePrescription Drug Monitoring Programs (PDMPs) are intended to help reduce prescription drug misuse and opioid overdose, yet little is known about the longitudinal patterns of opioid prescribing that may be associated with mortality. This study investigated longitudinal opioid prescribing patterns among patients with opioid use disorder (OUD) and without OUD in relation to mortality using PDMP data.

methodsGrowth modeling was used to examine opioid prescription data from the California PDMP for a 4-year period before death or a comparable period ending in 2014 for those remaining from a sample of 7728 patients (2576 with OUD, and 5152 matched non-OUD controls) treated in a large healthcare system.

resultsCompared to controls, individuals with OUD (alive and deceased) had received significantly more opioid prescriptions, greater number of days' supply, and steeper increases of opioid dosages over time. For morphine equivalents (ME, in grams), the interaction of OUD and mortality was significant at both intercept (β = 10.4, SE = 4.4, P < 0.05) and slope (β = 6.0, SE = 1.1, P < 0.001); deceased OUD patients demonstrated the sharpest increase (ie, an average yearly increment of 7.84 grams over alive patients without OUD) and ended with the highest level of opioids prescribed before they died (ie, 20.2 grams higher). Older age, public health insurance, cancer, and chronic pain were associated with higher number and dose of opioid prescriptions.

conclusionsBesides the amount of prescriptions, clinicians must be alert to patterns of opioid prescription such as escalating dosage as critical warning signals for heightened mortality risks, particularly among patients with OUD.

Indexed as

AdultAnalgesics, OpioidCaliforniaDrug PrescriptionsFemaleHumansLongitudinal StudiesMaleMiddle AgedOpioid-Related DisordersPrescription Drug Monitoring ProgramsAnalgesics, Opioid

Identifiers

PMID30418260
PMCPMC6349485

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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.