Evidence map›Paper›PMID 39009415›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2024

External validation of a prognostic model to improve prediction of psychosis: a retrospective cohort study in primary care.

Sarah A Sullivan, Richard Morris, Daphne Kounali, David Kessler, Willie Hamilton, Glyn Lewis, Philippa Lilford, Irwin Nazareth

Abstract readValidation Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Predicting risk of psychosis in primary care: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  3. 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

8 authors.

Sarah A SullivanCentre for Academic Mental Health, and National Institute for Health and Care Research Bristol Biomedical Research Centre, University of Bristol, Bristol.ORCID 0000-0002-1446-8478
Richard MorrisCentre for Academic Primary Care, Population Health Sciences Institute, University of Bristol, Bristol.ORCID 0000-0001-7240-4563
Daphne KounaliCentre for Academic Mental Health, University of Bristol and Oxford Clinical Trials Unit, Botnar Research Centre, University of Oxford, Oxford.ORCID 0000-0002-6392-6690
David KesslerUniversity of Bristol, Bristol.ORCID 0000-0001-5333-132X
Willie HamiltonUniversity of Exeter Medical School, Exeter.ORCID 0000-0003-1611-1373
Glyn LewisDivision of Psychiatry, University College London, London, and National Institute for Health and Care Research Biomedical Research Centre.ORCID 0000-0001-5205-8245
Philippa LilfordAvon and Wiltshire Mental Health Partnership Trust.
Irwin NazarethDivision of Psychiatry, University College London, London.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection could reduce the duration of untreated psychosis. GPs are a vital part of the psychosis care pathway, but find it difficult to detect the early features. An accurate risk prediction tool, P Risk, was developed to detect these.

aimTo externally validate P Risk. DESIGN AND

settingThis retrospective cohort study used a validation dataset of 1 647 934 UK Clinical Practice Research Datalink (CPRD) primary care records linked to secondary care records.

methodThe same predictors (age; sex; ethnicity; social deprivation; consultations for suicidal behaviour, depression/anxiety, and substance misuse; history of consultations for suicidal behaviour; smoking history; substance misuse; prescribed medications for depression/anxiety/post-traumatic stress disorder/obsessive compulsive disorder; and total number of consultations) were used as for the development of P Risk. Predictive risk, sensitivity, specificity, and likelihood ratios were calculated for various risk thresholds. Discrimination (Harrell's C-index) and calibration were calculated. Results were compared between the development (CPRD GOLD) and validation (CPRD Aurum) datasets.

resultsPsychosis risk increased with values of the P Risk prognostic index. Incidence was highest in younger age groups and, in the main, higher in males. Harrell's C was 0.79 (95% confidence interval = 0.78 to 0.79) in the validation dataset and 0.77 in the development dataset. A risk threshold of 1.0% gave sensitivity of 65.9% and specificity of 86.6%.

conclusionFurther testing is required, but P Risk has the potential to be used in primary care to detect future risk of psychosis.

Indexed as

Primary Health CarePsychotic DisordersAdolescentAdultEarly DiagnosisFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSensitivity and SpecificityUnited KingdomYoung Adultearly medical interventionearly psychosiselectronic health recordsexternal validationpredictionprimary health care

Identifiers

PMID39009415
PMCPMC11497152

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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.