Evidence map›Paper›PMID 33628176›Full record

ArticleFrontiers in pharmacology2020

Machine Learning for Detection of Safety Signals From Spontaneous Reporting System Data: Example of Nivolumab and Docetaxel.

Ji-Hwan Bae, Yeon-Hee Baek, Jeong-Eun Lee, Inmyung Song, Jee-Hyong Lee, Ju-Young Shin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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 at 3 institutions in 1 country.

Ji-Hwan BaeSchool of Pharmacy, Sungkyunkwan University, Suwon-si, South Korea.
Yeon-Hee BaekSchool of Pharmacy, Sungkyunkwan University, Suwon-si, South Korea.
Jeong-Eun LeeSchool of Pharmacy, Sungkyunkwan University, Suwon-si, South Korea.
Inmyung SongDepartment of Health Administration, College of Nursing and Health, Kongju National University, Gongju-si, South Korea.
Jee-Hyong LeeDepartment of Artificial Intelligence, Sungkyunkwan University, Suwon-si, South Korea.
Ju-Young ShinSchool of Pharmacy, Sungkyunkwan University, Suwon-si, South Korea.
Sungkyunkwan University · KRKongju National University · KRSamsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adverse drug reactiondisproportionality analysisdocetaxelmachine learning algorithmsnivolumabsignal detection

Identifiers

PMID33628176
PMCPMC7898680
OpenAlexW3120115411

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.