Naturopathic Approaches to Irritable Bowel Syndrome—A Delphi Study
Bibliographic record
Abstract
INTRODUCTION: Irritable bowel syndrome (IBS) affects 11% of the population, and up to 50% of patients report using complementary and alternative medicines (CAM) for it. To date, there is no research describing how providers of naturopathic medicine in North America, a well-defined CAM profession, approach IBS. METHODS: A Delphi study was conducted over a 17-month period in 4 rounds with 15 North American naturopathic medicine experts in IBS. Consensus was defined as a median value of 75% or greater agreement with the relevant statement. RESULTS: Consensus was met with 45 statements describing a "reasonable naturopathic approach" to IBS. These statements covered the domains of general, office visits, tracking progress, testing, interventions, and resources. CONCLUSION: These results represent the beginning of an evidence base depicting naturopathic interventions for IBS and should inform future randomized controlled clinical trials in this area. Future research should look to reflect on and revise these guidance consensus statements particularly extending to other stakeholders as well as geographic and regulatory jurisdictions in the naturopathic profession.
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 | 0.058 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".