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Record W4389429183 · doi:10.1186/s40359-023-01457-z

The effects of cognitive behavioral therapy on health-related quality of life, anxiety, depression, illness perception, and in atrial fibrillation patients: a six-month longitudinal study

2023· article· en· W4389429183 on OpenAlex
Zheng Minjie, Xie Zhijuan, Bai Xinzhu, Shan Qu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBMC Psychology · 2023
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAnxietyQuality of life (healthcare)Depression (economics)DistressGeeAtrial fibrillationClinical psychologyPsychologyCognitionMedicineCognitive behavioral therapyGeneralized anxiety disorderPhysical therapyGeneralized estimating equationPsychiatryInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Atrial fibrillation (AF) often leads to an impaired Health-Related Quality of Life (HRQoL) in many patients. Moreover, psychological factors such as depression, anxiety, and illness perception have been found to significantly correlate with HRQoL. This study aims to evaluate the long-term effectiveness of Cognitive Behavioral Therapy (CBT) in enhancing HRQoL and mitigating psychological distress among AF patients. METHODS: Employing a prospective, open design with pseudo-randomization, this study encompassed pre-tests, post-treatment evaluations, and a 6-month follow-up. A total of 102 consecutive patients diagnosed with paroxysmal AF were initially enrolled. Out of these, 90 were assigned to two groups; one to receive a 10-week CBT treatment specifically focusing on anxiety, and the other to receive standard care. Outcome measures were evaluated using tools such as the Item Short Form Health Survey (SF-12), General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), University of Toronto Atrial Fibrillation Severity Scale (AFSS), and Brief Illness Perception Questionnaire (BIPQ). These assessments were conducted at pre-treatment, post-treatment, and at the 6-month follow-up mark. We explored the effectiveness of CBT using Generalized Estimating Equations (GEE). RESULTS: Our analysis revealed a notable improvement in the CBT group relative to the control group. All metrics displayed consistent improvement across a 6-month duration. At the 6-month checkpoint, the CBT group exhibited a more favorable SF-12 Mental Component Score (MCS) (50.261 ± 0.758 vs. 45.208 ± 0.887, p < 0.001), reduced GAD-7 (4.150 ± 0.347 vs. 8.022 ± 0.423, p < 0.001), BIPQ (34.700 ± 0.432 vs. 38.026 ± 0.318, p < 0.001), and AFSS (9.890 ± 0.217 vs. 10.928 ± 0.218, p = 0.001) scores when compared to the TAU group. Conversely, the SF-12 PCS (44.212 ± 0.816 vs. 47.489 ± 0.960, p = 0.139) and PHQ-9 scores (8.419 ± 0.713 vs. 10.409 ± 0.741, p = 0.794) manifested no significant difference between the two groups. CONCLUSION: The findings suggest that CBT is effective in improving HRQoL and reducing psychological distress among patients with AF at 6 month follow-up. This highlights the potential benefits of integrating CBT into the therapeutic regimen for AF patients. TRIAL REGISTRATION: Retrospectively registered with ClinicalTrials.gov (NCT05716828). The date of registration : 5 June 2023.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.118
GPT teacher head0.447
Teacher spread0.329 · 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