Hepatosplenic T cell lymphoma in inflammatory bowel disease: Table 1
Bibliographic record
Abstract
The development of lymphoma in chronic inflammatory conditions has been a topic of great interest. Studies in inflammatory bowel disease (IBD) have demonstrated conflicting results and it is often difficult to disassociate disease severity, disease duration and the risk attributable to drug exposure. Recently presented results from the very large French population based CESAME study suggest a doubling of the risk of lymphoma in patients with IBD, with the majority of cases occurring in association with immunosuppressive therapy. Similarly, a meta-analysis of previous cohort studies concluded that the risk of lymphoma is increased four-fold in patients with IBD on thiopurine treatment (azathioprine and 6-mercaptopurine) compared to those not receiving such therapy. Such analyses cannot demonstrate causation, and it is possible that an increased lymphoma risk relates to more active underlying disease rather than thiopurine therapy, an interpretation supported by results from studies in IBD patients unexposed to such treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".