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Record W2034048156 · doi:10.1097/mog.0b013e32832b12ef

The evolving epidemiology of inflammatory bowel disease

2009· review· en· W2034048156 on OpenAlexaff
Fergus Shanahan, Çharles N. Bernstein

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInflammatory bowel diseaseDiseaseMedicineEpidemiologyComorbidityUlcerative colitisIntensive care medicineCrohn's diseaseRisk factorClostridium difficileIrritable bowel syndromeImmunologyPathologyInternal medicineBiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Epidemiologic studies in inflammatory bowel disease (IBD) include assessments of disease burden and evolving patterns of disease presentation. Although it is hoped that sound epidemiologic studies provide aetiological clues, traditional risk factor-based epidemiology has provided limited insights into either Crohn's disease or ulcerative colitis etiopathogenesis. In this update, we will summarize how the changing epidemiology of IBD associated with modernization can be reconciled with current concepts of disease mechanisms and will discuss studies of clinically significant comorbidity in IBD. RECENT FINDINGS: The increased frequency of IBD, which has been consistently observed as society becomes developed or modernized, may be linked with changes in the gastrointestinal microbiota which, in turn, may affect the development of the immune system and influence the risk of inflammatory diseases. Although extra-intestinal disease associations have long been recognized to be linked to IBD, there is a disturbing increase in comorbidity with Clostridium difficile-associated disease, arterial and venous thromboembolism and abnormalities of cervical cytology. These have important implications in an era of increased use of immunomodulatory drugs. SUMMARY: Advances in understanding the basic biology of IBD with rapidly emerging therapeutic strategies have prompted a shift in traditional epidemiologic approaches away from risk factor anthologies toward rapprochement with disease mechanisms and pursuit of changing patterns of comorbidity of clinical relevance.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.355
Teacher spread0.311 · 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.

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

Citations103
Published2009
Admission routes1
Has abstractyes

Explore more

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