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Record W2757091579 · doi:10.14740/jmc.v8i10.2899

Burkitt Lymphoma Mimicking as Pancreas Adenocancer With Liver Metastases

2017· article· en· W2757091579 on OpenAlexvenueno aff
Banu Kara, Mehmet Suat Yalçın, Hüseyin Sancar Bozkurt, Emine Kılıç Bağır

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePancreasDuodenumLymphomaHead of pancreasPancreatitisBiopsyAdenocarcinomaEndoscopic retrograde cholangiopancreatographyRadiologyPathologyGastroenterologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Primary lymphomas of the pancreas are uncommon and Burkitt lymphoma (BL) involving pancreas is very rare. It is important to recognize this entity because it can resemble adenocarcinoma of the pancreas but its management is entirely different. We describe a case of synchronous pancreatic, duedonal and liver involvement of BL in a 34-year-old man who presented with acute pancreatitis. Abdominal computed tomography revealed a hypoechogenic area within the head of the pancreas and multiple hypoechogenic areas in the liver. Upper gastrointestinal (GI) endoscopy revealed multiple ulcerated polypoid lesions in the duodenum. Percutaneous fine-needle aspiration biopsy of the liver lesions and endoscopic biopsy of duedonal lesions revealed BL. This is an unusual presentation of BL with pancreatic, duedonal and liver involvement which mimicks as pancreas adenocarcinoma with liver and duedonal metastases. J Med Cases. 2017;8(10):315-317 doi: https://doi.org/10.14740/jmc2899w

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.052
GPT teacher head0.361
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2017
Admission routes1
Has abstractyes

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