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Record W2165765440 · doi:10.1016/s0016-5085(00)70353-2

Azathioprine for maintenance of remission in Crohn's disease: Benefits outweigh the risk of lymphoma

2000· article· en· W2165765440 on OpenAlexaff
James D. Lewis, J. Sanford Schwartz, Gary R. Lichtenstein

Bibliographic record

VenueGastroenterology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsInstitute of Health Economics
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsAzathioprineLife expectancyMedicineLymphomaInternal medicineQuality of life (healthcare)Maintenance therapyDiseaseCrohn's diseaseChemotherapyEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: Azathioprine is a commonly used and effective treatment for maintenance of remission for patients with steroid-dependent Crohn's disease (CD). However, azathioprine therapy is associated with an increased risk of non-Hodgkin's lymphoma. The objective of this analysis was to determine the impact of azathioprine therapy on survival and quality-adjusted life expectancy after accounting for both the benefits of therapy and potential increased risk of lymphoma. METHODS: A decision analysis using a Markov model depicting the natural history of alternative management strategies for maintenance of remission in patients with CD was performed. RESULTS: In the base-case analysis, treatment of CD patients with a steroid-induced remission with azathioprine resulted in an average increase in life expectancy of 0.04 years and 0.05 quality-adjusted years. The incremental gain in life expectancy decreased with increasing patient age and increasing risk of lymphoma. CONCLUSIONS: Therapy with azathioprine to preserve remission in patients with CD results in increased quality-adjusted life expectancy. This increase was greatest in young patients who have the lowest baseline risk of non-Hodgkin's lymphoma and who have the greatest life expectancy in the absence of a CD-related death.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.211
Teacher spread0.206 · 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
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

Citations245
Published2000
Admission routes1
Has abstractyes

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