Evidence map›Paper›PMID 31309136›Full record

ArticleSSM - population health2019

Free trade and opioid overdose death in the United States.

Adam Dean, Simeon Kimmel

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Foundations of complexity economics.Nature reviews. Physics · 2021
    Review
  17. Article
  18. The Relative Economy and Drug Overdose Deaths.Epidemiology (Cambridge, Mass.) · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Adam DeanGeorge Washington University, United States.
Simeon KimmelBoston Medical Center, United States.
Boston Medical Center · USGeorge Washington University · US

Funding

BU Clinical HIV/AIDS Research Training Program (BU-CHART)T32AI052074 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Benjamin P. Linas · 2003 to 2026
$6.7M
Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
NIAID NIH HHS T32 AI052074NIDA NIH HHS R25 DA033211
6 · The paper itself

Abstract

Opioid overdose deaths in the U.S. rose dramatically after 1999, but also exhibited substantial geographic variation. This has largely been explained by differential availability of prescription and non-prescription opioids, including heroin and fentanyl. Recent studies explore the underlying role of socioeconomic factors, but overlook the influence of job loss due to international trade, an economic phenomenon that disproportionately harms the same regions and demographic groups at the heart of the opioid epidemic. We used OLS regression and county-year level data from the Centers for Disease Controls and the Department of Labor to test the association between trade-related job loss and opioid-related overdose death between 1999 and 2015. We find that the loss of 1000 trade-related jobs was associated with a 2.7 percent increase in opioid-related deaths. When fentanyl was present in the heroin supply, the same number of job losses was associated with a 11.3 percent increase in opioid-related deaths.

Identifiers

PMID31309136
PMCPMC6606896
OpenAlexW2946754917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.