Evidence map›Paper›PMID 35782412›Full record

ArticleFrontiers in psychiatry2022

Network Analysis of the Brief ICF Core Set for Schizophrenia.

Laura Nuño, Georgina Guilera, Maite Barrios, Juana Gómez-Benito, Gomaa Said Mohamed Abdelhamid

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
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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

5 authors at 3 institutions in 2 countries.

Laura NuñoAddictions Unit, Clinical Institute of Neuroscience (ICN), Hospital Clinic, Barcelona, Spain.
Georgina GuileraDepartment of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain.
Maite BarriosDepartment of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain.
Juana Gómez-BenitoDepartment of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain.
Gomaa Said Mohamed AbdelhamidDepartment of Educational Psychology, Faculty of Education, Fayoum University, Fayoum, Egypt.
Universitat de Barcelona · ESFayoum University · EGHospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International Classification of Functioning, Disability, and Health Core Sets (ICF-CSs) for schizophrenia are a set of categories for assessing functioning in persons with this health condition. This study aimed to: a) estimate the network structure of the Brief ICF-CS for schizophrenia, b) examine the community structure (categories strongly clustered together) underlying this network, and c) identify the most central categories within this network. Methods: A total of 638 health professionals from different backgrounds and with a significant role in the treatment of individuals with schizophrenia participated in a series of Delphi studies. Based on their responses we used the Ising model to estimate the network structure of the 25-category Brief ICF-CS, and then estimated the degree of centrality for all categories. Finally, the community structure was detected using the walktrap algorithm. Results: The resulting network revealed strong associations between individual categories within components of the ICF (i.e., Conclusion: These results demonstrate the utility of a network approach for estimating the structure of the ICF-CSs. Implications of these results for clinical interventions and development of new instruments are discussed.

Indexed as

Delphi methodfunctioningICF core setnetwork analysisschizophrenia

Identifiers

PMID35782412
PMCPMC9247197
OpenAlexW4283016591

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.