Evidence map›Paper›PMID 30581289›Full record

ReviewDialogues in clinical neuroscience2018

The role of prediction in suicide prevention.

Matthew Michael Large

Abstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Matthew Michael LargeMental Health Services, The Prince of Wales Hospitals, Barker Street, Randwick, NSW, 2031, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is widely believed that suicide prevention involves the consideration of risk and protective factors and related interventions. Preventative interventions can be classified as "universal" (targeting whole populations), "selective" (targeting higher-risk groups), and "indicated" (protecting individuals). This review explores the range of preventative measures that might be used commensurately with different types of suicide prediction. The author concludes that the best prospects for suicide prevention lie in universal prevention strategies. While risk assessments do generate some information about future suicide, suicide risk categorization results in an unacceptably high false positive rate, misses many fatalities, and therefore, is unable to usefully guide prevention strategies. The assessment of suicidal patients should focus on contemporaneous factors and the needs of the patient, rather than probabilistic notions of suicide risk.

Indexed as

Mental HealthSuicide PreventionBehaviorHumansRisk AssessmentRisk Factorsmental healthpreventionrisk assessmentrisk factorsuicide

Identifiers

PMID30581289
PMCPMC6296389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.