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Record W2026344704 · doi:10.1097/mcg.0b013e3181f593f9

The Safety and Tolerability of Methotrexate for Treating Patients With Crohn's Disease

2011· review· en· W2026344704 on OpenAlexaff
Nilesh Chande, James C. Gregor

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineTolerabilityMethotrexateCrohn's diseaseDiseaseAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

GOALS: To determine the safety and tolerance of methotrexate for treating patients with Crohn's disease in clinical practice. BACKGROUND: Methotrexate is effective for treating patients with Crohn's disease. However, concerns about potential toxicity, particularly to the liver, have limited its use. STUDY: A retrospective chart review was performed of Crohn's disease patients in our practice treated with methotrexate. Data related to the safety and tolerance of methotrexate was extracted and analyzed. RESULTS: Of 92 patients treated with methotrexate, there was enough data for 79 patients for analysis (49 women and 30 men; mean age 28.8 y). Forty-two patients (53%) had previously received azathioprine. Overall, 40 patients (51%) achieved and maintained remission on methotrexate, including 13 of 30 (43%) who concomitantly received anti-tumor necrosis factor therapy. The mean total accumulated dose of methotrexate was 1727 mg [SD 1572 mg], with a mean total duration of methotrexate use of 25.4 months (SD 43.1 mo). The most common adverse events were nausea (22%) and elevated liver enzymes (10%). Only 6% of patients stopped methotrexate therapy because of persistently abnormal liver enzymes. No patients underwent liver biopsy. CONCLUSIONS: This retrospective study showed that methotrexate is safe and well-tolerated in treating patients with Crohn's disease in clinical practice.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.608
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.359
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations19
Published2011
Admission routes1
Has abstractyes

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