Evidence map›Paper›PMID 28762157›Full record

ReviewInjury epidemiology2017

Risk markers for fatal and non-fatal prescription drug overdose: a meta-analysis.

Joanne E Brady, Rebecca Giglio, Katherine M Keyes, Charles DiMaggio, Guohua Li

Open access · goldAbstract readReview
In one paragraph

Review in Injury epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 pooled it
11.4field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Risk Factors for Drug Overdose in Young People: A Systematic Review of the Literature.Journal of child and adolescent psychopharmacology · 2019
    Pooled it
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  11. Observational
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  14. Predicting adverse cardiovascular events in emergency department patients with bupropion overdose.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Joanne E BradyDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. jb3042@cumc.columbia.edu.
Rebecca GiglioCenter for Injury Epidemiology and Prevention, Columbia University, New York, NY, USA.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Charles DiMaggioDepartment of Surgery, Division of Trauma, New York University, New York, NY, USA.
Guohua LiDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Columbia University · USNew York University · US

Funding

Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
Data Integration and Advanced Statistical Modeling to Describe and Control Pediatric Pedestrian Injuries in The United StatesR01HD087460 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DIMAGGIO, CHARLES · 2016 to 2018
$984k
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NCIPC CDC HHS R49 CE002096NIAAA NIH HHS K01 AA021511NICHD NIH HHS R01 HD087460
6 · The paper itself

Abstract

backgroundDrug overdose is a public health crisis in the United States, due in part to the unintended consequences of increases in prescribing of opioid analgesics. Many clinicians evaluate risk markers for opioid-related harms when prescribing opioids for chronic pain; however, more data on predictive risk markers are needed. Risk markers are attributes (modifiable and non-modifiable) that are associated with increased probability of an outcome. This review aims to identify risk markers associated with fatal and non-fatal prescription drug overdose by synthesizing findings in the existing peer-reviewed and grey literature. Eligible cohort, case-control, cross-sectional, and case-cohort studies were reviewed and data were extracted for qualitative and quantitative synthesis.

findingsSummary odds ratios (SOR) were estimated from 29 studies for six risk markers: sex, age, race, psychiatric disorders, substance use disorder (SUD), and urban/rural residence. Heterogeneity was assessed and effect estimates were stratified by study characteristics. Of the six risk markers identified, SUD had the strongest association with drug overdose death (SOR = 5.24, 95% confidence interval (CI) = 3.53 - 7.76), followed by psychiatric disorders (SOR = 3.94, 95% CI = 3.09 - 5.01), white race (SOR = 2.28, 95% CI = 1.93 - 2.70), the 35-44 year age group relative to the 25-34 year reference group (SOR = 1.52, 95% CI = 1.31 - 1.76), and male sex (SOR = 1.33, 95% CI = 1.17 - 1.51).

conclusionsThis review highlights fatal and non-fatal prescription drug risk markers most frequently assessed in peer-reviewed and grey literature. There is a need to better understand modifiable risk markers and underlying reasons for drug misuse in order to inform interventions that may prevent future drug overdoses.

Indexed as

AccidentsAnalgesicsDrug overdoseMortalityOpioid/toxicityPrescription drugs/toxicityPrevalencePublic healthRisk factorsSubstance-related disorder

Identifiers

PMID28762157
PMCPMC5545182
OpenAlexW2736657055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.