Evidence map›Paper›PMID 31876906›Full record

SynthesisJAMA psychiatry2020

All-Cause and Cause-Specific Mortality Among People Using Extramedical Opioids: A Systematic Review and Meta-analysis.

Sarah Larney, Lucy Thi Tran, Janni Leung, Thomas Santo, Damian Santomauro, Matt Hickman, Amy Peacock, Emily Stockings, Louisa Degenhardt

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 8 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

89 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  17. Prediction of individualised 6-month mortality risk in opioid use disorder.The British journal of psychiatry : the journal of mental science · 2026
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29 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

9 authors.

Sarah LarneyNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Lucy Thi TranNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Janni LeungUniversity of Queensland School of Psychology, St Lucia, Queensland, Australia.
Thomas SantoNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Damian SantomauroInstitute of Health Metrics and Evaluation, University of Washington, Seattle.
Matt HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Amy PeacockNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Emily StockingsNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.

Funding

Department of Health 12/136/105Department of Health RP-DG-0610-10055Department of Health RP-PG-0616-20008
6 · The paper itself

Abstract

Importance: Extramedical opioid use has escalated in recent years. A better understanding of cause-specific mortality in this population is needed to inform comprehensive responses. Objective: To estimate all-cause and cause-specific crude mortality rates (CMRs) and standardized mortality ratios (SMRs) among people using extramedical opioids, including age- and sex-specific estimates when possible. Data Sources: For this systematic review and meta-analysis, MEDLINE, PsycINFO, and Embase were searched for studies published from January 1, 2009, to October 3, 2019, and an earlier systematic review on this topic published in 2011. Study Selection: Cohort studies of people using extramedical opioids and reporting mortality outcomes were screened for inclusion independently by 2 team members. Data Extraction and Synthesis: Data were extracted by a team member and checked by another team member. Study quality was assessed using a custom set of items that examined risk of bias and quality of reporting. Data were pooled using random-effects meta-analysis models. Heterogeneity was assessed using stratified meta-analyses and meta-regression. Main Outcomes and Measures: Outcome measures were all-cause and cause-specific CMRs and SMRs among people using extramedical opioids compared with the general population of the same age and sex. Results: Of 8683 identified studies, 124 were included in this analysis (100 primary studies and 24 studies providing additional data for primary studies). The pooled all-cause CMR, based on 99 cohorts of 1 262 592 people, was 1.6 per 100 person-years (95% CI, 1.4-1.8 per 100 person-years), with substantial heterogeneity (I2 = 99.7%). Heterogeneity was associated with the proportion of the study sample that injected opioids or was living with HIV infection or hepatitis C. The pooled all-cause SMR, based on 43 cohorts, was 10.0 (95% CI, 7.6-13.2). Excess mortality was observed across a range of causes, including overdose, injuries, and infectious and noncommunicable diseases. Conclusions and Relevance: The findings suggest that people using extramedical opioids experience significant excess mortality, much of which is preventable. The range of causes for which excess mortality was observed highlights the multiplicity of risk exposures experienced by this population and the need for comprehensive responses to address these. Better data on cause-specific mortality in this population in several world regions appear to be needed.

Indexed as

MortalityCause of DeathHumansOpioid-Related Disorders

Identifiers

PMID31876906
PMCPMC6990804

What OpenQuestion holds

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Read underepoch 390

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.