Evidence map›Paper›PMID 29854186›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

Jesse M Lingeman, Priscilla Wang, William Becker, Hong Yu

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning.IEEE journal of biomedical and health informatics · 2025
    Article
  9. ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Social Media Based Analysis of Opioid Epidemic Using Reddit.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  19. 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

4 authors.

Jesse M LingemanUniversity of Massachusetts: Amherst, Amherst, MA.
Priscilla WangYale Medical School, New Haven, CT.
William BeckerYale Medical School, New Haven, CT.
Hong YuUniversity of Massachusetts Medical School, Worcester, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioid-related overdose deaths increasing almost fourfold since 2000

Indexed as

Electronic Health RecordsNatural Language ProcessingSupport Vector MachineAnalgesics, OpioidDatasets as TopicFalse Positive ReactionsHumansOpioid-Related DisordersPopulation SurveillanceAnalgesics, Opioid

Identifiers

PMID29854186
PMCPMC5977697

What OpenQuestion holds

Textmetadata
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.