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Record W1934843482 · doi:10.1002/dc.23144

Enteropathy‐associated intestinal T‐cell lymphoma in cavitating mesenteric lymph node syndrome: Fine‐needle aspiration contributes to the diagnosis

2014· article· en· W1934843482 on OpenAlexaff
Joerg Schwock, Elizabeth Hyjek, Emina Torlakovic, William R. Geddie

Bibliographic record

VenueDiagnostic Cytopathology · 2014
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicinePathologyLymphomaEnteropathyLymph nodeFine-needle aspirationMalignancyCystMesenteric lymph nodesGastroenterologyRadiologyInternal medicineDiseaseBiopsySpleen

Abstract

fetched live from OpenAlex

Cavitating mesenteric lymph node syndrome (CMLNS) is an infrequently reported manifestation of unrecognized/longstanding celiac disease and may be associated with enteropathy-associated intestinal T-cell lymphoma and hyposplenism. Unrecognized malignancy and life-threatening infections can pose a significant risk to patients in cases of delayed diagnosis. Fine-needle aspiration of the mesenteric lesions may contribute significantly to the correct diagnosis and can expedite patient management. We report on the cytologic characteristics of enteropathy-associated intestinal T-cell lymphoma first detected in a cyst fluid specimen obtained from a patient with cavitating mesenteric lesions. Image-guided fine-needle aspiration resulted in chylous fluid that contained a lymphoid cell population with neoplastic morphology and abnormal immunophenotype. Further work-up led to the diagnosis of enteropathy-associated intestinal T-cell lymphoma with bone marrow involvement. Cytologic assessment of the cyst fluid is an important part of the diagnostic cascade in patients with CMLNS to exclude clinically occult lymphoma.

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)0.001
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.268
Teacher spread0.256 · 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.

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

Citations10
Published2014
Admission routes1
Has abstractyes

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