Evidence map›Paper›PMID 33017234›Full record

ArticleHealth affairs (Project Hope)2020

Children And The Opioid Epidemic: Age-Stratified Exposures And Harms.

Kelby W Brown, Kayla Carlisle, Sudha R Raman, Peter Shrader, Megan Jiao, Michael J Smith, Lisa M Einhorn, Charlene A Wong

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Engaging youth in the design of prescription opioid safety education for schools.Journal of the American Pharmacists Association : JAPhA
    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

8 authors.

Kelby W BrownKelby W. Brown is a graduate scholar in the Duke-Margolis Center for Health Policy at Duke University, in Durham, North Carolina.
Kayla CarlisleKayla Carlisle is a student scholar in the Children's Health and Discovery Initiative at Duke University.
Sudha R RamanSudha R. Raman (sudha.raman@duke.edu) is an assistant professor of population health sciences at Duke University School of Medicine.
Peter ShraderPeter Shrader is a biostatistician in Outcomes at the Duke Clinical Research Institute.
Megan JiaoMegan Jiao is a research associate in the Duke-Margolis Center for Health Policy at Duke University.
Michael J SmithMichael J. Smith is an associate professor of pediatrics at Duke University School of Medicine.
Lisa M EinhornLisa M. Einhorn is an assistant professor of anesthesiology at Duke University School of Medicine.
Charlene A WongCharlene A. Wong is an associate professor of pediatrics and public policy at Duke University, the Children's Health and Discovery Initiative, and the Duke-Margolis Center for Health Policy.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

Using North Carolina Medicaid 2016-18 claims data, we found that approximately one in ten adolescents (10.8 percent) filled at least one opioid prescription per year. Dentists, advanced practice providers, and surgeons were common prescribers of opioids to children. In addition, half of children who experienced opioid-related adverse events had filled opioid prescriptions in the prior six months.

Indexed as

Analgesics, OpioidOpioid EpidemicAdolescentChildDrug PrescriptionsHumansMedicaidNorth CarolinaPractice Patterns, Physicians'United StatesAnalgesics, Opioid

Identifiers

PMID33017234
PMCPMC8157201

What OpenQuestion holds

Textmetadata
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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.