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Record W1531067137 · doi:10.1155/2008/785953

Exercise and Inflammatory Bowel Disease

2008· review· en· W1531067137 on OpenAlexaffvenue
Neeraj Narula, Richard N. Fedorak

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineUlcerative colitisInflammatory bowel diseaseDiseasePhysical therapyCrohn's diseasePresentation (obstetrics)Affect (linguistics)Intensive care medicineInflammatory Bowel DiseasesInternal medicineSurgeryPsychology

Abstract

fetched live from OpenAlex

Crohn's disease and ulcerative colitis are both idiopathic inflammatory bowel diseases (IBDs) that affect 0.5% of Canadians. As yet, there is no known cure for either disease, and symptoms are treated with an array of medicines. The objective of the present review was to present the role of exercise and its impact on all facets of IBD. Exercise has been speculated to be protective against the onset of IBD, but the literature is inconsistent and weak. Preliminary studies reveal that exercise training may be beneficial to reduce stress and symptoms of IBD. Current research also recommends exercise to help counteract some IBD-specific complications by improving bone mineral density, immunological response, psychological health, weight loss and stress management ability. However, the literature advises that some patients with IBD may have limitations to the amount and intensity of exercise that they can perform. In summary, exercise may be beneficial to IBD patients, but further research is required to make a convincing conclusion regarding its role in the management of IBD and to help establish exercise regimens that can account for each IBD patient's unique presentation.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations85
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of GastroenterologySame topicInflammatory Bowel DiseaseFrench-language works237,207