Evidence map›Paper›PMID 36386985›Full record

ArticleFrontiers in psychiatry2022

A network analysis of anxiety, depressive, and psychotic symptoms and functioning in children and adolescents at clinical high risk for psychosis.

Gabriele Lo Buglio, Maria Pontillo, Erika Cerasti, Andrea Polari, Arianna Schiano Lomoriello, Stefano Vicari, Vittorio Lingiardi, Tommaso Boldrini, Marco Solmi

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

9 authors.

Gabriele Lo BuglioDepartment 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.
Erika CerastiDepartment of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Andrea PolariOrygen Specialist Programs, Melbourne, Australia.
Arianna Schiano LomorielloSection for Cognitive Systems, DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Stefano VicariChild Psychiatry Unit, Department of Neuroscience Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Vittorio LingiardiDepartment of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Tommaso BoldriniDepartment of Developmental Psychology and Socialization, University of Padua, Padua, Italy.
Marco SolmiSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Youths at clinical high risk for psychosis (CHR-P) are characterized by a high prevalence of anxiety and depressive disorders. The present study aimed at developing and analyzing a network structure of CHR-P symptom domains (i.e., positive, negative, disorganization, and general subclinical psychotic symptoms), depressive and anxiety symptoms, and general functioning. Methods: Network analysis was applied to data on 111 CHR-P children and adolescents ( Results: In the network, negative and disorganization symptoms showed the strongest association ( Conclusion: The lack of association between subclinical positive symptoms and other network variables confirmed the independent nature of subclinical positive symptoms from comorbid symptoms, which were found to play a central role in the analyzed network. Complex interventions should be developed to target positive and comorbid symptoms, prioritizing those with the most significant impact on functioning and the most relevance for the young individual, through a shared decision-making process. Importantly, the results suggest that negative and disorganization symptoms, as well as depressive and anxiety symptoms, may be targeted simultaneously.

Indexed as

anxiety symptomsattenuated psychotic symptomsclinical high risk for psychosis (CHR-P)comorbiditydepressive symptomsgeneral functioningnetwork analysis

Identifiers

PMID36386985
PMCPMC9650363

What Socratic 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 Socratic graph.