Sustained Release Myofascial Release as Treatment for a Patient with Complications of Rheumatoid Arthritis and Collagenous Colitis: A Case Report
Bibliographic record
Abstract
BACKGROUND: Myofascial release (MFR) is a manual therapeutic technique used to release fascial restrictions, which may cause neuromusculoskeletal and systemic pathology. PURPOSE: This case report describes the use of sustained release MFR techniques in a patient with a primary diagnosis of rheumatoid arthritis (RA) and a secondary diagnosis of collagenous colitis. Changes in pain, cervical range of motion, fatigue, and gastrointestinal tract function, as well as the impact of RA on daily activities, were assessed. METHODS: A 54-year-old white woman presented with signs and symptoms attributed to RA and collagenous colitis. Pre and post measurements were taken with each treatment and during the interim between the initial and final treatment series. The patient recorded changes in pain, fatigue, gastrointestinal tract function, and quality of life. Cervical range of motion was assessed. Six sustained release MFR treatment sessions were provided over a 2-week period. Following an 8-week interim, two more treatments were performed. RESULTS: The patient showed improvements in pain, fatigue, gastrointestinal tract function, cervical range of motion, and quality of life following the initial treatment series of six sessions. The patient maintained positive gains for 5 weeks following the final treatment, after which her symptoms returned to near baseline measurements. Following two more treatments, positive gains were achieved once again. CONCLUSIONS: In a patient with RA and collagenous colitis, the application of sustained release MFR techniques in addition to standard medical treatment may provide short-term and long-term improvements in comorbid symptoms and overall quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".