Evidence map›Paper›PMID 33037037›Full record

ReviewBMJ health & care informatics2020

AI enabled suicide prediction tools: a qualitative narrative review.

Daniel D'Hotman, Erwin Loh

Open access · goldAbstract readReview
In one paragraph

Review in BMJ health & care informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Article
  3. Teaching Artificial Intelligence from Conceptual Foundations: A Roadmap for Psychiatry Training Programs.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Suicide prevention in Hong Kong: pushing boundaries while building bridges.The Lancet regional health. Western Pacific · 2024
    Review
  8. Review
  9. Dancing with uncertainties in the era of artificial intelligence.Journal of pediatric rehabilitation medicine · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Artificial intelligence and suicide prevention: a systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Review
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

2 authors at 2 institutions in 2 countries.

Daniel D'HotmanOxford Uehiro Centre for Practical Ethics, University of Oxford, Oxford, United Kingdom daniel.dhotman@philosophy.ox.ac.uk.
Erwin LohMonash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0001-7157-0826
St Vincent's Health · AUUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceGlobal HealthProtective FactorsSuicide PreventionHumansMedical InformaticsRisk Factorshealth careinformation sciencemedical informaticspatient care

Identifiers

PMID33037037
PMCPMC7549453
OpenAlexW3091925259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.