Evidence map›Paper›PMID 31276556›Full record

Trial reportPloS one2019

Clinical assessment of suicide risk and suicide attempters' self-reported suicide intent: A cross sectional study.

Carol C Choo, Keith M Harris, Peter K H Chew, Roger C Ho

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Suicide: A Précis!Journal of family medicine and primary care · 2020
    Article
  15. Deliberate Self-Harm Among Chinese Children with Different Types and Severity of Disabilities.International journal of environmental research and public health · 2019
    Article
  16. 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.

Carol C ChooCollege of Healthcare Sciences, James Cook University, Singapore, Singapore.ORCID 0000-0001-7868-5757
Keith M HarrisSchool of Psychology, Charles Sturt University, Port Macquarie, NSW, Australia.
Peter K H ChewCollege of Healthcare Sciences, James Cook University, Singapore, Singapore.
Roger C HoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored medical doctors' clinical assessment of suicide risk and suicide attempters' self-reported suicide intent. Three years of archival assessment records related to suicide attempters who were admitted to the emergency department of a large teaching hospital in Singapore were subjected to analysis. Records related to 460 suicide attempters (70.4% females; 28.6% males) were analysed using logistic regressions. Their ages ranged from 12 to 85 (M = 29.08, SD = 12.86). The strongest predictor of suicide intent was habitual poor coping, followed by serious financial problems, and expressed regret. The strongest predictor of suicide risk was hiding the attempt followed by prior planning. The findings were discussed in regards to implications in clinical assessments and suicide prevention efforts.

Indexed as

Emergency Service, HospitalHospitals, TeachingSelf ReportSuicide, AttemptedAdolescentAdultAgedAged, 80 and overChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk Factors

Identifiers

PMID31276556
PMCPMC6611556

What OpenQuestion holds

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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.