Tabulation of Myeloid, Lymphoid and Intestinal Malignancies in Crohn’s Disease
Bibliographic record
Abstract
A variety of malignant complications occur in Crohn's disease, and previous studies have recorded an increased intestinal cancer risk. The present investigation tabulated myeloid and lymphoid malignancies compared with intestinal cancers in 1000 consecutively evaluated patients with Crohn's disease who were followed over an extended period by a single clinician. Myeloid and lymphoid neoplasms were present in 0.5% of patients, while cancer in the intestinal tract was detected in 1%. Most of these patients with a malignancy had Crohn's disease for a prolonged period of more than 20 years and had negative outcomes, including death or presentations with advanced disease. In this cohort, lymphoma was not detected in a single patient after definition of Crohn's disease, possibly reflecting the limited use of immunosuppressives or infused biological agents in this clinical practice. Bypassed rectal 'stumps' were associated with subsequent colorectal cancer in half of all males with colon cancer in this series, suggesting an important risk factor following colectomy in Crohn's disease. Epithelial dysplasia was detected in only a single male patient before colorectal cancer, implying that this histopathological marker may be a poor predictor of subsequent colon cancer development in Crohn's disease, an inflammatory bowel disease process that is typically patchy or focal in distribution in the intestinal tract.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.003 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".