Evidence map›Paper›PMID 32152360›Full record

ArticleScientific reports2020

Epidemiological and geospatial profile of the prescription opioid crisis in Ohio, United States.

Andres Hernandez, Adam J Branscum, Jingjing Li, Neil J MacKinnon, Ana L Hincapie, Diego F Cuadros

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. Trial
  2. Opioid Overdose Death Prediction with Graph Neural Networks.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Opioid Overdose Death Prediction with Graph Neural Networks.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. A spatiotemporal analysis of opioid prescriptions in Indiana from 2015 to 2019.Substance abuse treatment, prevention, and policy · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Identifying the Changing Landscape of Younger Adult Mortality in the United States from 1999 to 2021.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
    Observational
  9. Article
  10. Article
  11. Article
  12. A Diagram of the Social-Ecological Conditions of Opioid Misuse and Overdose.International journal of environmental research and public health · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Synthetic opioids: a review and clinical update.Therapeutic advances in psychopharmacology · 2022
    Review
  20. 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.

Andres HernandezDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, USA.
Adam J BranscumDepartment of Biostatistics, College of Public Health and Human Sciences, Oregon State University, Corvallis, USA.
Jingjing LiUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Neil J MacKinnonJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, USA.
Ana L HincapieJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, USA.
Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, USA. diego.cuadros@uc.edu.

Funding

NCIPC CDC HHS U17 CE002738
6 · The paper itself

Abstract

The underlying reasons behind the unprecedented increase of the mortality rates due to the opioid epidemics in the United States are still not fully uncovered. Most efforts have been focused on targeting opioids, but there is little information about vulnerable populations at high risk of opioid abuse and death. In this study, we used data from the Ohio Department of Health for deaths caused by prescription opioids from 2010-2017 to analyze the spatiotemporal dynamics of the opioid overdose epidemic. Our results showed a rapid increase in prescription opioid death rates among the white male population aged 30-39 but also a considerable increase among the black male population with an exponential growth trend. Our geospatial analysis suggests that the increasing rates of the opioid overdose epidemic in Ohio were driven by the epidemic hotspot areas. Our findings highlight the relevance of prioritizing public health measures targeting specific locations and vulnerable populations to mitigate the current opioids crisis.

Indexed as

Drug OverdoseGeography, MedicalHumansOhioOpioid EpidemicOpioid-Related DisordersPrescriptionsPublic Health SurveillanceRisk FactorsSpatial Analysis

Identifiers

PMID32152360
PMCPMC7063043

What OpenQuestion holds

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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.