Evidence map›Paper›PMID 36948562›Full record

Observational studyBMJ open2023

Linguistic profile automated characterisation in pluripotential clinical high-risk mental state (CHARMS) conditions: methodology of a multicentre observational study.

Luca Magnani, Luca Carmisciano, Felice dell'Orletta, Ornella Bettinardi, Silvia Chiesa, Massimiliano Imbesi, Giuliano Limonta, Elisa Montagna, Ilaria Turone, Dario Martinasso and 24 more

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

34 authors at 7 institutions in 3 countries.

Luca MagnaniIRCCS Ospedale Policlinico San Martino, Genoa, Italy magnani1991@gmail.com.ORCID 0000-0002-3620-2021
Luca CarmiscianoDepartment of Health Sciences (DISSAL), Section of Biostatistics, University of Genoa, Genoa, Italy.
Felice dell'OrlettaItalian Natural Language Processing Lab, Institute of Computational Linguistics "Antonio Zampolli", CNR di Pisa, Pisa, Italy.
Ornella BettinardiDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Silvia ChiesaDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Massimiliano ImbesiDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Giuliano LimontaDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Elisa MontagnaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Ilaria TuroneIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Dario MartinassoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea AgugliaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gianluca SerafiniIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Mario AmoreIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea AmerioIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Alessandra CostanzaDepartment of Psychiatry, Faculty of Medicine, University of Geneva (UNIGE), Geneva, Switzerland.ORCID 0000-0001-6387-6462
Francesca SibillaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Pietro CalcagnoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Sara PattiDepartment of Mental Health and Pathological Addictions, Genoa Local Authority, Genoa, Liguria, Italy.
Gabriella MolinoDepartment of Mental Health and Pathological Addictions, Genoa Local Authority, Genoa, Liguria, Italy.
Andrea EscelsiorIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Alice TrabuccoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Lisa MarzanoDepartement of Psychology, School of Science and Technology, Middlesex University, London, UK.ORCID 0000-0001-9735-3512
Dominique BrunatoItalian Natural Language Processing Lab, Institute of Computational Linguistics "Antonio Zampolli", CNR di Pisa, Pisa, Italy.
Andrea Amelio RavelliItalian Natural Language Processing Lab, Institute of Computational Linguistics "Antonio Zampolli", CNR di Pisa, Pisa, Italy.
Marco CappucciatiDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Roberta FiocchiDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Gisella GuerzoniDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Davide MaravitaDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Fabio MacchettiDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Elisa MoriDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Chiara Anna PagliaDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Federica RoscignoDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
Antonio SaginarioDepartment of Mental Health and Pathological Addictions, Piacenza Local Authority, Piacenza, Italy.
LNG-PSY Study Investigators
Azienda Unità Sanitaria Locale Piacenza · ITOspedale Policlinico San Martino · ITInstitute for Computational Linguistics “A. Zampolli” · ITKing's College London · GBMiddlesex University · GBUniversity of Geneva · CHUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLanguage is usually considered the social vehicle of thought in intersubjective communications. However, the relationship between language and high-order cognition seems to evade this canonical and unidirectional description (ie, the notion of language as a simple means of thought communication). In recent years, clinical high at-risk mental state (CHARMS) criteria (evolved from the Ultra-High-Risk paradigm) and the introduction of the Clinical Staging system have been proposed to address the dynamicity of early psychopathology. At the same time, natural language processing (NLP) techniques have greatly evolved and have been successfully applied to investigate different neuropsychiatric conditions. The combination of at-risk mental state paradigm, clinical staging system and automated NLP methods, the latter applied on spoken language transcripts, could represent a useful and convenient approach to the problem of early psychopathological distress within a transdiagnostic risk paradigm. METHODS AND ANALYSIS: Help-seeking young people presenting psychological distress (CHARMS+/- and Clinical Stage 1a or 1b; target sample size for both groups n=90) will be assessed through several psychometric tools and multiple speech analyses during an observational period of 1-year, in the context of an Italian multicentric study. Subjects will be enrolled in different contexts: Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa-IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Mental Health Department-territorial mental services (ASL 3-Genoa), Genoa, Italy; and Mental Health Department-territorial mental services (AUSL-Piacenza), Piacenza, Italy. The conversion rate to full-blown psychopathology (CS 2) will be evaluated over 2 years of clinical observation, to further confirm the predictive and discriminative value of CHARMS criteria and to verify the possibility of enriching them with several linguistic features, derived from a fine-grained automated linguistic analysis of speech. ETHICS AND DISSEMINATION: The methodology described in this study adheres to ethical principles as formulated in the Declaration of Helsinki and is compatible with International Conference on Harmonization (ICH)-good clinical practice. The research protocol was reviewed and approved by two different ethics committees (CER Liguria approval code: 591/2020-id.10993; Comitato Etico dell'Area Vasta Emilia Nord approval code: 2022/0071963). Participants will provide their written informed consent prior to study enrolment and parental consent will be needed in the case of participants aged less than 18 years old. Experimental results will be carefully shared through publication in peer-reviewed journals, to ensure proper data reproducibility. TRIAL REGISTRATION NUMBER: DOI:10.17605/OSF.IO/BQZTN.

Indexed as

LinguisticsPsychopathologyAdolescentChildHumansItalyReproducibility of ResultsAdult psychiatryChild & adolescent psychiatryEPIDEMIOLOGYHealth informaticsProtocols & guidelines

Identifiers

PMID36948562
PMCPMC10040055
OpenAlexW4353061695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.