Evidence map›Paper›PMID 41287249›Full record

ArticleBJPsych open2025

Predictors of suicidal ideation in UK doctors: retrospective case-control study from NHS Practitioner Health.

Ashvin Kuri, Aleksandra Nowak, Andrea Allen-Tejerina, Caitlin Norris-Grey, Kiran Anya Chilu Kuri, Jack Barton, Zaid Al-Najjar, Bhathika Perera, Helen Garr, Jonathan Round

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ashvin KuriWolfson Institute of Population Health, Queen Mary University of London, UK.ORCID https://orcid.org/0000-0003-0125-4806
Aleksandra NowakSt George's University of Londonhttps://ror.org/040f08y74, UK.
Andrea Allen-TejerinaEast & North Hertfordshire NHS Trust, Stevenage, UK.
Caitlin Norris-GreyIndependent Researcher, Boston, USA.
Kiran Anya Chilu KuriQueen Mary University of London, UK.
Jack BartonAuckland City Hospital, Auckland, New Zealand.
Zaid Al-NajjarNHS Practitioner Health, London, UK.
Bhathika PereraDivision of Psychiatry, University College London, UK.ORCID https://orcid.org/0000-0001-9316-9312
Helen GarrNHS Practitioner Health, London, UK.
Jonathan RoundSt George's University of Londonhttps://ror.org/040f08y74, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression severity is a well-established risk factor for suicidal ideation, but the extent to which sociodemographic and employment-related factors contribute independently remains unclear.

aimsComplete data from doctors (

methodUsing PHQ-8 score (PHQ-9, excluding the item on suicide ideation) as a proxy for depression severity, the case-control discriminatory capacity of receiver operating characteristic curves (AUCs) were evaluated for (a) a univariable model studying modified PHQ-9 alone as the predictor of severe suicide ideation; and (b) a multivariable model integrating modified PHQ-9 and multiple sociodemographic and employment factors as the predictor of severe suicide ideation. Models were compared both descriptively and through a likelihood ratio test.

resultsThe univariable model using depression severity alone as the predictor of severe suicide ideation yielded an AUC of 0.921. The addition of sociodemographic and employment factors improved the fit significantly (likelihood ratio test with (

conclusionsIn this national cohort of doctors, depression severity was strongly associated with suicidal ideation. However, disability and lack of a partner were also independently linked to increased risk, suggesting that suicidal ideation is not solely driven by symptom severity. Social and functional factors may help identify higher-risk individuals and inform targeted support.

Indexed as

mental health servicesmultivariate statisticspreventionprognostic/prediction modellingSuicide

Identifiers

PMID41287249
PMCPMC12724124

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.