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Record W4413055293 · doi:10.1080/07347332.2025.2543063

The effectiveness of group compassion-focused therapy on difficulty in emotion regulation, pain severity and quality of life among women with breast cancer: A randomized controlled trial

2025· article· en· W4413055293 on OpenAlexaboutno aff
Nastaran Mehrabi, Hamid Reza Amiri, Abdollah Omidi, Mostafa Sarvizadeh

Bibliographic record

VenueJournal of Psychosocial Oncology · 2025
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersKashan University of Medical Sciences
KeywordsBreast cancerQuality of life (healthcare)McGill Pain QuestionnaireMedicineRandomized controlled trialSelf-compassionCancerPhysical therapyClinical trialClinical psychologyMindfulnessInternal medicineVisual analogue scaleNursing

Abstract

fetched live from OpenAlex

Background Breast cancer is the most prevalent and fatal cancer among women. This study aimed to investigate the effectiveness of group compassion-focused therapy (CFT) on difficulty in emotion regulation, pain, and quality of life in women with breast cancer.Method The participants were 44 women with breast cancer who had been referred to Yaserbi and Beheshti Hospital in Kashan (Isfahan). After obtaining informed consent, these women were randomly divided into two intervention (n = 22) and control (n = 22) groups, and they were asked to complete the Difficulty in Emotion Regulation Scale (DERS), the Revised McGill Pain Questionnaire (SF-MPQ-2) and Quality of Life questionnaire for cancer patients (QLQ-C30) before treatment, after treatment, and at two-month follow-up.Results Data analysis using repeated measure ANOVA showed that CFT significantly improves difficulty in emotion regulation, pain intensity, and quality of life of women with breast cancer.Discussion The findings suggest that CFT can be an effective approach to reducing psychological symptoms in women with breast cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.355
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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