[A Case of Cronkhite-Canada Syndrome Associated with Transverse Colon Cancer].
Bibliographic record
Abstract
An 86-year-old man with a 3 months history of weight loss and bloody diarrhea was admitted to our hospital. Endoscopic examination revealed transverse colon cancer, along with numerous polypoid lesions in the stomach, duodenum, colon, and rectum. These findings led to a diagnosis of Cronkhite-Canada syndrome(CCS). Due to advanced colon cancer with stenosis, the patient underwent laparoscopic extended right hemicolectomy of the colon with D3 lymphadenectomy. The patient had no major postoperative complications and was discharged on the 17th postoperative day. Six weeks after surgery, the patient was treated with steroids, which led to an improvement in his symptoms. However, after the steroid dose was reduced, diarrhea worsened and the patient continued to receive treatment. The typical treatment for CSS is medical use of corticosteroids, but there is a timing issue regarding when to perform surgery on a patient with cancer. In this case, we could perform surgery for CCS with advanced colon cancer and safely introduce steroid therapy early after surgery.
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 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".