Evidence map›Paper›PMID 41340857›Full record

ArticleFrontiers in psychiatry2025

The ENTER study (E-DetectioN Tool for Emerging Mental DisoRders): general population recruitment and data integrity in online screening for psychosis risk.

Phoebe Wallman, Andrés Estradé, Matilda Azis, Kate Haining, Xinyi Liang, Thomas J Spencer, Kelly Diederen, Umberto Provenzani, Peter J Uhlhaas, Paolo Fusar-Poli

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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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

10 authors.

Phoebe WallmanDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Andrés EstradéDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Matilda AzisDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Kate HainingSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom.
Xinyi LiangDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Thomas J SpencerDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Kelly DiederenDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Umberto ProvenzaniDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Peter J Uhlhaas *School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom.
Paolo Fusar-Poli *Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Effective detection of young people at clinical high-risk for psychosis (CHR-P) is one of the rate-limiting steps in improving outcomes through preventive treatment. ENTER (E-DetectioN Tool for Emerging Mental DisoRders) was developed to refine and increase the specificity of e-detection strategies to identify young people in the community who might be exhibiting emerging symptoms of psychosis. This paper aimed to outline the ENTER procedure and data validation process and the characteristics of the self-selected sample. Methods: The ENTER study was conducted across sites in London, Glasgow (UK), and Pavia (Italy). Participants from the general population aged 12-35 years were recruited through universities, colleges, flyers, and social media. The online screener collected data on demographics, cognition, speech, environmental risk and protective factors, and frequent subthreshold features that characterise emerging psychotic disorders. Results: A total of 8,009 participants completed the screener over a period of 3 years. However, only 2,540 responses (32%) were deemed valid. The mean age of the participants was 23 years. The majority were women (77%), identified as white (70%), and had some experience in higher education (82%). Nearly half of the valid sample (48%) scored ≥6 on the Prodromal Questionnaire (PQ-16). Discussion: The proportion of participants scoring ≥6 on the PQ-16 is consistent with the findings from other European studies in the general population and in outpatient mental health settings. The procedures and sample characteristics reported here provide context for further analyses using the ENTER tool. In addition, the findings highlight the considerable challenge of fraudulent and inauthentic responses in online research-an issue that may have been amplified by the use of financial incentives and recruitment via social media.

Indexed as

attenuated psychotic symptomsclinical high risk (CHR) for psychosisdata qualityonline fraud detectiononline screeningpsychosis risk

Identifiers

PMID41340857
PMCPMC12670249

What Socratic holds

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Registered trials

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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 Socratic graph.