Evidence map›Paper›PMID 36938406›Full record

ArticleHeliyon2023

Network analysis of body-related complaints in patients with neurotic or personality disorders referred to psychotherapy.

Katarzyna Klasa, Jerzy A Sobański, Edyta Dembińska, Anna Citkowska-Kisielewska, Michał Mielimąka, Krzysztof Rutkowski

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Article in Heliyon, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Katarzyna KlasaFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.
Jerzy A SobańskiFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.
Edyta DembińskaFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.
Anna Citkowska-KisielewskaFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.
Michał MielimąkaFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.
Krzysztof RutkowskiFaculty of Medicine, Department of Psychotherapy, Jagiellonian University Medical College, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psychopathology theory and clinical practice require the most complex knowledge about patients' complaints. In patients seeking for psychotherapy, body-related symptoms often complicate treatment. Aim: This study aimed at examining connections between body-related symptoms, and identification of symptoms which may be responsible for emergency and sustaining of anxiety, somatoform and personality disorders with the use of network analysis. Methods: In our retrospective research we used data from a sample of 4616 patients of the Department of Psychotherapy, University Hospital in Cracow, diagnosed with anxiety, somatoform or personality disorders. We constructed the Triangulated Maximally Filtered Graph (TMFG) networks of 44 somatoform symptoms endorsed in the symptom checklist "O" (SCL-O) and identified the most central symptoms within the network for all patients and in subgroups of women vs. men, older vs. younger, and diagnosed in 1980-2000 vs. 2000-2015. We used bootstrap to determine the accuracy and stability of five networks' parameters: strength, expected influence, eigenvector, bridge strength and hybrid centrality. Results: The most central symptoms within the overall network, and in six subnetworks were dyspnea and migratory pains. We identified some gender-related differences, but no differences were observed for the age and time of diagnosis. Conclusions: Self-reported dyspnea and migratory pains are potential important targets for treatment procedures.

Indexed as

AnxietyBootstrappingCentralityNetwork analysisPsychotherapy patientsSomatic symptomsTMFG networks

Identifiers

PMID36938406
PMCPMC10018473

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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.