Cronkhite–Canada-szindróma
Bibliographic record
Abstract
Összefoglaló. A Cronkhite-Canada-szindróma egy extrém ritka, nem öröklődő, gyomor-bél rendszeri polyposissal, fehérjevesztő enteropathiával és ectodermalis elváltozásokkal járó megbetegedés. A világon eddig összesen körülbelül 500 esetet jegyeztek fel. Az etiológia pontosan nem tisztázott, hátterében elsősorban autoimmun folyamatot feltételeznek. A diagnózis a páciens kórtörténetén, a fizikális vizsgálaton, az endoszkópos képen és a szövettani leleten alapul. A jelen közleményben egy 71 éves férfi beteg esetét mutatjuk be. A klinikai kép és az elvégzett vizsgálatok alapján a tünetek hátterében Cronkhite-Canada-szindrómát igazoltunk, majd a szakirodalomban leggyakrabban alkalmazott kombinált protonpumpagátló, kortikoszteroid és meszalazin adását vezettük be, illetve táplálásterápiát alkalmaztunk. Tudomásunk szerint Cronkhite-Canada-szindrómás beteg esete Magyarországon elsőként kerül ismertetésre. Orv Hetil. 2021; 162(11): 432-438. Summary. Cronkhite-Canada syndrome is an extremely rare, noninherited disease, characterized by gastrointestinal polyposis, protein-losing enteropathy and ectodermal abnormalities. Approximately 500 cases have been reported worldwide. The aetiology is unknown, most probably autoimmune mechanisms may be involved. The diagnosis is based on patient history, physical examination, endoscopic findings and histology. Here we report the case of a 71-year-old male, diagnosed with Cronkhite-Canada syndrome. The treatment consisted of proton-pump inhibitor, corticosteroids, mesalazin and nutritional therapy. To the best of our knowledge, this is the first report of Cronkhite-Canada syndrome in Hungary. Orv Hetil. 2021; 162(11): 432-438.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.008 |
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".