MétaCan
Menu
Back to cohort
Record W2106931096 · doi:10.1093/ageing/afp243

Microscopic colitis -- a common cause of diarrhoea in older adults

2010· review· en· W2106931096 on OpenAlexaff
Jenny Williams, Paul L. Beck, Christopher N. Andrews, David B. Hogan, Martin Storr

Bibliographic record

VenueAge and Ageing · 2010
Typereview
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCollagenous colitisMedicineMicroscopic colitisLymphocytic colitisColitisEpidemiologyDiarrheaPathophysiologyOlder peopleUlcerative colitisInternal medicineIntensive care medicineDiseaseInflammatory bowel diseaseGerontology

Abstract

fetched live from OpenAlex

Diarrhoeal diseases are common in older populations and often markedly affect their quality of life. Although there are numerous potential causes, microscopic colitis (MC) is increasingly recognised as a major diagnostic entity in older individuals. MC is comprised of two distinct histological forms - collagenous colitis and lymphocytic colitis, both of which frequently occur in older populations. Recent studies suggest that between 10 and 30% of older patients investigated for chronic diarrhoea with an endoscopically normal appearing colon will have MC. It is unclear why MC is more common in older populations, but it is associated with both autoimmune disorders and several drugs that are commonly used by seniors. A definitive diagnosis can only be made with colonic biopsies. Since MC was first described in 1976 and only recently recognised as a common cause of diarrhoea, many practising physicians may not be aware of this entity. In this review, we outline the epidemiology, risk factors associated with MC, its pathophysiology, the approach to diagnosis and the management of these individuals.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.020
GPT teacher head0.326
Teacher spread0.306 · 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

Citations68
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAge and AgeingSame topicMicroscopic ColitisFrench-language works237,207