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Record W4321498231 · doi:10.1093/mrcr/rxad014

Internet-based basic body awareness therapy in fibromyalgia syndrome: A report of three cases

2023· article· en· W4321498231 on OpenAlexaboutno aff
Özge Tahran, Burcu Ersöz Hüseyinsinoğlu, Günay Yolcu, Evrim Karadağ‐Saygı

Bibliographic record

VenueModern Rheumatology Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsFibromyalgiaPhysical therapyMedicineFibromyalgia syndromeMcGill Pain QuestionnaireVisual analogue scale

Abstract

fetched live from OpenAlex

Previous literature has shown that basic body awareness therapy (BBAT) may be an effective treatment for fibromyalgia syndrome (FMS). This study constitutes the first case study evaluating internet-based BBAT for FMS. The purpose of this case study was to describe the feasibility and preliminary outcomes of an internet-based BBAT training for a total of 8 weeks in three patients with FMS. The patients underwent a synchronous individual internet-based BBAT training. Outcomes were assessed using Fibromyalgia Impact Questionnaire Revised, Awareness-Body-Chart, Short-Form McGill Pain Questionnaire (SF-MPQ), and plasma fibrinogen level. These measures were administered at baseline and after the treatment. Patient satisfaction with the treatment was evaluated using a structured questionnaire. At the post-treatment evaluation, each patient showed improvements in all outcome measures. All patients had clinically significant changes in Fibromyalgia Impact Questionnaire Revised. The SF-MPQ total score in Patients 1 and 3 exceeded the minimal clinically important difference. All patients' pain severity exceeded the minimal clinically important difference for Visual Analogue Scale (SF-MPQ). Besides, we found some benefits in body awareness and the level of dysautonomia. At the end of the treatment, patient satisfaction with the programme was very high. Based on this case study, the application of internet-based BBAT seems feasible and promising for clinical benefits.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.048
GPT teacher head0.319
Teacher spread0.271 · 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.

Study designCase report
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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueModern Rheumatology Case ReportsSame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207