Evidence map›Paper›PMID 38896144›Full record

ArticleEuropean child & adolescent psychiatry2025

Clinical utility of the at-risk for psychosis state beyond transition: A multidimensional network analysis.

Tommaso Boldrini, Gabriele Lo Buglio, Erika Cerasti, Maria Pontillo, Laura Muzi, Silvia Salcuni, Andrea Polari, Stefano Vicari, Vittorio Lingiardi, Marco Solmi

Abstract read
In one paragraph

Article in European child & adolescent psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors.

Tommaso BoldriniDepartment of Psychology and Educational Science, Pegaso Telematic University, Naples, Italy.ORCID http://orcid.org/0000-0003-3381-9445
Gabriele Lo BuglioDepartment of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy. gabriele.lobuglio@uniroma1.it.ORCID http://orcid.org/0000-0003-2425-8383
Erika CerastiDepartment of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Maria PontilloChild Psychiatry Unit, Department of Neuroscience, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-0083-0093
Laura MuziDepartment of Philosophy, Social Sciences, Humanities and Education, University of Perugia, Perugia, Italy.ORCID http://orcid.org/0000-0002-6394-6018
Silvia SalcuniDepartment of Developmental Psychology and Socialization, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0002-1798-5761
Andrea PolariOrygen Specialist Programs, Melbourne, Australia.ORCID http://orcid.org/0000-0002-0680-3192
Stefano VicariChild Psychiatry Unit, Department of Neuroscience, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-5395-2262
Vittorio LingiardiDepartment of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0002-1298-3935
Marco SolmiSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0003-4877-7233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To be relevant to healthcare systems, the clinical high risk for psychosis (CHR-P) concept should denote a specific (i.e., unique) clinical population and provide useful information to guide the choice of intervention. The current study applied network analyses to examine the clinical specificities of CHR-P youths compared to general help-seekers and non-CHR-P youth. 146 CHR-P (mean age = 14.32 years) and 103 non-CHR-P (mean age = 12.58 years) help-seeking youth were recruited from a neuropsychiatric unit and assessed using the Structured Interview for Psychosis-Risk Syndromes, Children's Depression Inventory, Multidimensional Anxiety Scale for Children, Global Functioning: Social, Global Functioning: Role, and Wechsler Intelligence Scale for Children/Wechsler Adult Intelligence Scale. The first network structure comprised the entire help-seeking sample (i.e., help-seekers network), the second only CHR-P patients (i.e., CHR-P network), and the third only non-CHR-P patients (i.e., non-CHR-P network). In the help-seekers network, each variable presented at least one edge. In the CHR-P network, two isolated "archipelagos of symptoms" were identified: (a) a subgraph including functioning, anxiety, depressive, negative, disorganization, and general symptoms; and (b) a subgraph including positive symptoms and the intelligence quotient. In the non-CHR-P network, positive symptoms were negatively connected to functioning, disorganization, and negative symptoms. Positive symptoms were less connected in the CHR-P network, indicating a need for specific interventions alongside those treating comorbid disorders. The findings suggest specific clinical characteristics of CHR-P youth to guide the development of tailored interventions, thereby supporting the clinical utility of the CHR-P concept.

Indexed as

Patient Acceptance of Health CareProdromal SymptomsPsychotic DisordersAdolescentChildFemaleHumansMalePsychiatric Status Rating ScalesAnxietyClinical high-risk for psychosis (CHR-P)ComorbidityDepressionNetwork analysisPositive symptoms

Identifiers

PMID38896144
PMCPMC11805795

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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.