Using Osteopathic Manipulative Therapy to Treat Irritable Bowel Syndrome and Severe Refractory Gastroesophageal Reflux Disease: A Case Report
Bibliographic record
Abstract
Both Irritable Bowel Syndrome (IBS) and Gastroesophageal Reflux Disease (GERD) pose significant healthcare burdens on the general population of America. Though first-line medications are available, concomitant burdens of polypharmacy, side effects, and inadequate control exist. Osteopathic Manipulative Treatment (OMT) is a hands-on, physical manipulation technique that offers a personalized and direct approach to modifying the body's neuromuscular and viscerosomatic activity leading to decreased symptomatic burden with minimal side effects. OMT comprises different modalities with significant versatility. They range from indirect, gentle techniques such as counterstrain to more direct, forceful techniques such as high-velocity low-amplitude (HVLA), each used as the situation demands. This case report discusses a 28-year-old male patient who had struggled to control his ever-worsening GERD and IBS symptoms, despite consulting multiple physicians and undergoing treatment with various therapies. Even with adherence to the recommended medications and lifestyle changes, his symptoms had only been minimally reduced. This resulted in substantial distress, worsening his physical and emotional health. A full-body OMT regimen was created and implemented to quell his symptoms at the source. This regimen was performed weekly for one month, with self-reported symptom prevalence evaluated from the first treatment until one month after the last treatment. Over the two months, the associated symptomatology became almost nonexistent. At the conclusion of the documented period, the individualized OMT regimen produced significantly greater symptomatic relief than any of the first-line medications used earlier.
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 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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".