MétaCan
Menu
Back to cohort
Record W2005855936 · doi:10.1002/ibd.20297

Colorectal cancer prevention in inflammatory bowel disease and the role of 5-aminosalicylic acid: A clinical review and update

2007· review· en· W2005855936 on OpenAlexaff
David T. Rubin, Marcia Cruz‐Correa, Christoph Gasché, Jeremy R. Jass, Gary R. Lichtenstein, Elizabeth A. Montgomery, Robert H. Riddell, Matthew D. Rutter, Thomas Ullman, Fernando S. Velayos, Steven H. Itzkowitz

Bibliographic record

VenueInflammatory Bowel Diseases · 2007
Typereview
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineColorectal cancerInflammatory bowel diseaseDysplasiaNatural historyCancer preventionEtiologyIncidence (geometry)Aminosalicylic acidDiseaseEpidemiologyColonoscopyFamilial adenomatous polyposisCancerInternal medicineFamily historyIntensive care medicine

Abstract

fetched live from OpenAlex

A roundtable consensus meeting was held to consolidate current knowledge on the etiology of colorectal cancer in patients with inflammatory bowel disease and to review current strategies, both diagnostic and preventive, specifically addressing the role of 5-aminosalicylic acid. Specific topics that were addressed included: the epidemiology of colorectal cancer, including an assessment of risk factors and the impact of colonoscopy on colorectal cancer incidence and mortality; the origin and evolution of dysplasia nomenclature and the natural history of dysplasia; review of the experience of St. Mark's Hospital (London) as gleaned from its surveillance database; mechanisms by which 5-aminosalicylic acid is thought to exert a chemopreventive effect; the potential future role of 5-aminosalicylic acid in chemopreventive strategies; chemoprevention in familial adenomatous polyposis; and other future research directions. This article provides a comprehensive overview of the issues discussed and should act as a guide to shaping the design of future studies in this area.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.361
Teacher spread0.333 · 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 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

Citations76
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueInflammatory Bowel DiseasesSame topicGenetic factors in colorectal cancerFrench-language works237,207