MétaCan
Menu
Back to cohort
Record W2397081476 · doi:10.14740/jmc.v7i6.2415

Dysplasia Involves Enteritis Cystica Profunda in the Setting of Crohn’s Disease

2016· article· en· W2397081476 on OpenAlexvenueno aff
Jonathon Mahlow, Meagan Costedio, Shu‐Yuan Xiao, Lisi Yuan, Xiuli Liu

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMuscularis mucosaeDysplasiaEnteritisAdenocarcinomaPathologyGastroenterologyIntestinal metaplasiaInternal medicineCancer

Abstract

fetched live from OpenAlex

Enteritis cystica profunda is a rare non-neoplastic condition characterized by misplaced glands deep to the muscularis mucosae of the small bowel, likely as a result of trauma or inflammation such as Crohn’s disease, a disease with increased risk for small bowel adenocarcinoma. Clinically, enteric cystica profunda and adenocarcinoma can present with obstruction and/or stricture in patients with Crohn’s disease and should be differentiated from each other. Neoplastic involvement of enteritis cystica profunda by dysplasia has not been reported previously. Herein, we report a case of enteritis cystica profunda involved by high-grade dysplasia of gastric type. High-grade dysplasia and intramucosal adenocarcinoma of gastric type were also present in the overlying mucosa. Additionally, the adjacent mucosa demonstrated marked chronic active enteritis with pyloric gland metaplasia. The neoplastic epithelium showed diffuse and strong nuclear immunoreactivity for p53. The presence of lamina propria deep to the dysplastic epithelium-lined cysts/diverticula supported a non-invasive nature of this lesion. No metastatic disease was noted in 15 nodes identified. All surgical resections were free of neoplasm. The patient was doing well 9 months after surgery without evidence of cancer recurrence or metastasis on abdominal computed tomography. J Med Cases. 2016;7(6):202-207 doi: https://doi.org/10.14740/jmc2415w

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.303
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicGastrointestinal disorders and treatmentsFrench-language works237,207