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Evidence that Stress Contributes to Inflammatory Bowel Disease: Evaluation, Synthesis, and Future Directions

2005· review· en· W1986309936 on OpenAlexaff
Robert Maunder

Bibliographic record

VenueInflammatory Bowel Diseases · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsInflammatory bowel diseaseUlcerative colitisMedicineDiseasePsychological interventionDepression (economics)Randomized controlled trialCrohn's diseaseInternal medicineIntervention (counseling)Clinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: There is a long but inconsistent history of observations suggesting that psychologic stress contributes to the course of ulcerative colitis (UC) and Crohn's disease (CD). This study evaluated the strength of evidence for a causal link between stress, depression, and inflammatory bowel disease course. METHODS: Literature review and unstructured qualitative analysis of all reported prospective studies of stress or depression and disease outcomes and randomized controlled studies (RCTs) of stress reduction interventions. RESULTS: Although results remain inconsistent, prospective studies support a role for psychologic stress in the course of UC and for depressive symptoms in the course of CD. RCTs do not support the benefit of stress reduction for unselected patients with CD. UC has not been studied with adequately designed RCTs. Animal models suggest mechanisms whereby stress can exacerbate preexisting inflammatory disease, especially through increased epithelial permeability. CONCLUSIONS: A synthesis of the literature is presented suggesting approaches to reconcile apparently contradictory findings. Recommendations for further research emphasize refinements to avoid type II error and to identify subgroups of patients who are most likely to experience stress-related effects on illness or to benefit from stress reduction intervention.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations121
Published2005
Admission routes1
Has abstractyes

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