MétaCan
Menu
Back to cohort
Record W2120310026

Diagnosis and management of microscopic colitis.

2003· article· en· W2120310026 on OpenAlexaff
Ayman A. Abdo, Paul L. Beck

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMicroscopic colitisMedicineLymphocytic colitisCollagenous colitisDiarrheaColitisBudesonideBiopsyChronic diarrheaInternal medicineIntensive care medicineGastroenterologyDiseaseInflammatory bowel diseaseCorticosteroid
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe microscopic colitis (MC) and a stepwise approach to its diagnosis and management. QUALITY OF EVIDENCE: MEDLINE was searched from January 1996 to August 2002. Controlled trials were sought, but due to their relative rarity, most articles cited are well designed retrospective studies and reviews. MAIN MESSAGE: Microscopic colitis in both its collagenous and lymphocytic forms is a relatively common and important cause of diarrhea in middle-aged and elderly patients. It usually presents as chronic watery diarrhea. Results of endoscopic and radiologic examinations are normal; specific histologic findings are seen on colonic biopsy. Once the diagnosis is confirmed, we suggest a stepwise approach to therapy. First-line therapies include antidiarrheal agents; second-line include bismuth subsalicylates and budesonide; third-line include cholestyramine and 5-aminosalicylic acid agents. When patients fail to respond to these therapies, oral corticosteroids or immune modulatory therapy should be considered. For severe unresponsive cases, colectomy is the last resort. CONCLUSION: Microscopic colitis is an important cause of chronic diarrhea. Once the diagnosis is confirmed, a stepwise approach to treatment is suggested.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 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

Citations14
Published2003
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicMicroscopic ColitisFrench-language works237,207