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Interventions for treating lymphocytic colitis

2008· reference-entry· en· W4236815023 on OpenAlexaff
Nilesh Chande, John WD McDonald, John K MacDonald

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2008
Typereference-entry
Languageen
Field
Topic
Canadian institutionsRobarts Clinical TrialsLondon Health Sciences Centre
Fundersnot available
KeywordsLymphocytic colitisMedicineMicroscopic colitisInternal medicineBudesonideCollagenous colitisMesalazinePlaceboInflammatory bowel diseaseRandomized controlled trialClinical trialColitisDiseaseAsthmaPathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Lymphocytic colitis is a cause of chronic diarrhea. Therapy is based mainly on case series and uncontrolled trials, or by extrapolation of data for treating collagenous colitis, a related disorder. This review was performed to identify therapies for lymphocytic colitis that have been proven in randomized controlled trials. OBJECTIVES: To determine effective treatments for patients with clinically active lymphocytic colitis. SEARCH STRATEGY: The MEDLINE, PUBMED and EMBASE databases were searched using the search criteria "microscopic colitis" or "lymphocytic colitis" and "treatment" or "therapy" or "management" to identify relevant papers published between 1970 and December 2007. Manual searches from the references of identified papers and relevant review papers were performed. Abstracts from major gastroenterological meetings were searched to identify research submitted in abstract form only. The trial registry website www.ClinicalTrials.gov was searched to identify registered but unpublished trials. Finally, the Cochrane Central Register of Controlled Trials and the Cochrane Inflammatory Bowel Disease and Functional Bowel Disorders Group Specialized Trials Register were searched for other studies. SELECTION CRITERIA: Five randomized controlled trials were identified. Three of these studies, which assessed bismuth subsalicylate vs. placebo, budesonide vs. placebo, and mesalazine vs. mesalazine vs. cholestyramine in treating active disease, are included in this review. DATA COLLECTION AND ANALYSIS: Data were extracted independently by each author onto 2x2 tables (treatment versus placebo or active comparator and response versus no response). For therapies assessed in one trial only, P values were derived using the chi-square test. MAIN RESULTS: Forty-one patients were enrolled in the trial studying budesonide (9 mg/day for 6 weeks versus placebo). Budesonide was more effective than placebo at inducing both clinical (P = 0.004; NNT = 3) and histological responses (P = 0.04; NNT = 3). Forty-one patients were enrolled in the study assessing mesalazine versus mesalazine plus cholestyramine. A high proportion of patients in each group responded to treatment. However, no statistically significant difference in clinical response was found between the two treatment groups (P = 0.95). Five patients were enrolled in the trial studying bismuth subsalicylate (nine 262 mg tablets daily for 8 weeks vs. placebo). There were no differences in clinical (P=0.10) or histological responses (P=0.71) in patients treated with bismuth subsalicylate compared with placebo. AUTHORS' CONCLUSIONS: A single trial studying budesonide suggests that it may be effective for the treatment of active lymphocytic colitis. An ongoing placebo-controlled trial may confirm the benefit of budesonide. There is weaker evidence that mesalazine with or without cholestyramine may be effective for the treatment of lymphocytic colitis, but this benefit needs to be confirmed in a placebo-controlled study. No conclusions can be made regarding bismuth subsalicylate. These agents require further study before they can be recommended as treatment options for lymphocytic colitis. Further trials studying interventions for lymphocytic colitis are warranted.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.172
GPT teacher head0.395
Teacher spread0.222 · 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 designSystematic review
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

Citations25
Published2008
Admission routes1
Has abstractyes

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