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Record W2324246551 · doi:10.1155/2004/507410

Complementary and Alternative Medicine Use by Patients with Inflammatory Bowel Disease: Are Canadian Physicians Failing with Conventional Therapy, or Not?

2004· article· en· W2324246551 on OpenAlexaffvenueabout
Çharles N. Bernstein

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2004
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseAlternative medicineMassageUlcerative colitisDiseaseInflammatory Bowel DiseasesFamily medicineInternal medicinePhysical therapyIntensive care medicinePathology

Abstract

fetched live from OpenAlex

Hilsden et al conducted a postal survey of members of the Crohn's and Colitis Foundation of Canada (CCFC), gathering data on the use of both conventional therapy and complementary and alternative medicine (CAM). The response rate was 76% (quite good for a mailed survey), although 9% of respondents stated that they did not actually have inflammatory bowel disease (IBD) (their data were excluded from the analysis). The data regarding CAM use were difficult to follow, as there was a blending of past and current reported use of CAM, as well as of CAM use specifically for IBD as opposed to for non-IBD reasons. Current or past use of CAM for IBD was reported by 47% of respondents, and ongoing use for IBD specifically was reported by 24%. It appears that most of the CAM used by IBD patients was not for their IBD. An important finding was that approximately half of IBD patients use CAM either for their IBD or for other reasons. The main CAM used was acidophilus (19%), followed by massage (18%) and flax seed (13%).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2004
Admission routes3
Has abstractyes

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