Two Cases of Cronkhite-Canada Syndrome Associated with Colorectal Cancer
Bibliographic record
Abstract
症例1は65歳の男性. 主訴は食欲不振, 下痢, 血便. 内視鏡検査で胃と大腸にポリポーシスを認め, Cronkhite-Canada症候群 (CCS) と診断された. また, 上部直腸に高分化型腺癌を認めた. ステロイド治療で症状が改善した後, Hartmann式直腸切断術を施行した. 症例2は57歳の男性. 主訴は下痢, 味覚異常. 内視鏡検査で胃と大腸にポリポーシスを認めた. 直腸S状部の隆起性病変に対して内視鏡的粘膜切除術を施行したところ, 組織学的には高分化型腺癌であり, 周囲粘膜はCCSによる粘膜病変であった. CCSのポリープは非腫瘍性ポリープとされているが, 近年, 消化器癌の併存例が多数報告されている. 一般に予後は不良であるとされているが, 治療法の改善に伴い多くの長期生存例を認めている. このような中で, 当症例のように癌を併存する症例も増加することが考えられ, CCSに対しては注意深い経過観察が重要であると考えられた.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".