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Record W2022015726 · doi:10.1080/00365520510011623

Collagenous colitis and lymphocytic colitis: Patient characteristics and clinical presentation

2005· article· en· W2022015726 on OpenAlexaff
Nilesh Chande, David K. Driman, R. P. E. Reynolds

Bibliographic record

VenueScandinavian Journal of Gastroenterology · 2005
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsLondon Health Sciences CentreSt Joseph's Health CentreWestern University
Fundersnot available
KeywordsLymphocytic colitisCollagenous colitisMicroscopic colitisMedicineColitisGastroenterologyInternal medicineInflammatory bowel diseaseDiarrheaAbdominal painPathologyDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: Collagenous colitis and lymphocytic colitis (collectively known as microscopic colitis) are characterized by chronic diarrhea, normal endoscopic and radiologic findings, and typical findings on histologic examination of colonic tissue. The purpose of this study was to define the background characteristics of patients with microscopic colitis, as well as to present symptoms, coexistent autoimmune diseases, and a possible association with the use of non-steroidal anti-inflammatory drugs (NSAIDs) and ticlopidine. MATERIAL AND METHODS: A retrospective chart review was carried out on all cases of collagenous colitis and lymphocytic colitis diagnosed at a single center from July 1992 to July 2002. RESULTS: Of the 104 patients identified, 66 had collagenous colitis, 35 had lymphocytic colitis, and 3 were diagnosed with both disorders at different times. The mean age of patients was 64 years (26-88 years), with a female:male ratio of 4.8:1. The most common presenting symptoms were diarrhea (95%), weight loss (41%), abdominal pain (40%), fecal urgency (29%), and nocturnal stools (22%). Autoimmune disease was diagnosed in 29% of patients, 35% were using an NSAID, and 2% were using ticlopidine. CONCLUSIONS: Collagenous colitis and lymphocytic colitis occur more often in females than in males, at a wide age range, with a mean in the seventh decade. Certain symptoms are characteristic, but are not specific to these disorders. There may be an association with the presence of a coexistent autoimmune disorder and the use of drugs such as NSAIDs.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.294
Teacher spread0.281 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations93
Published2005
Admission routes1
Has abstractyes

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