Naturopathic approaches to irritable bowel syndrome: protocol for a prospective observational study in academic teaching clinics
Bibliographic record
Abstract
Background Irritable bowel syndrome (IBS) is a common functional bowel disorder with a worldwide prevalence estimated between 10% and 20%. It has a significant impact on quality of life and societal expense. While there are pharmaceutical options available, few can be reliably recommended. Many IBS sufferers turn to complementary and alternative medicine including naturopathy. Naturopathic approaches to IBS are poorly studied to date. Methods We aim to describe naturopathic approaches to IBS as well as establish pilot data on before and after changes in validated IBS instruments. The study will employ a multi-centered, international, prospective, observational, naturalistic design. The uncontrolled before-and-after study will examine the outcomes associated with individualized, whole system naturopathic care as determined by each provider. We will recruit adult patients diagnosed with IBS and presenting to a participating naturopathic academic teaching clinic. Participants’ IBS symptoms will be measured using validated instruments (IBS-SSS and IBS-AR). Quality of life will be measured by using the PROMIS-29 profile. Adverse events will be tracked, as followed for treatment descriptions. Our primary outcomes will be before-and-after differences using week twelve as the primary endpoint. A p values will be set at 0.05, and descriptive and summary data will be presented. Discussion This study is designed to plug significant evidence gaps and to gather preliminary evidence to guide the design of a follow-up randomized active controlled trial. Australia and New Zealand Clinical Trial Registration Number: ACTRN12617001413314 Version 1.1
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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 | 0.049 | 0.030 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.058 | 0.012 |
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".