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Record W4385472696 · doi:10.14740/jmc4121

Mucosa-Associated Lymphoid Tissue Lymphoma of the Ascending Colon Successfully Removed With Endoscopic Submucosal Dissection

2023· article· en· W4385472696 on OpenAlexvenueno aff
Grigorios Petrousis, Simone Ignatova, Maria Xintara, Spyridon Vrakas, Dimitrios Karapiperis

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMALT lymphomaLymphomaEndoscopic submucosal dissectionLymphatic systemPathologyImmunohistochemistryAscending colonGastrointestinal tractMucosa-associated lymphoid tissueStomachGastroenterologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

Mucosa-associated lymphoid tissue (MALT) lymphoma is a type of non-Hodgkin lymphoma with characteristic histopathological features and can occur in various extranodal sites, including the gastrointestinal tract. While gastric MALT lymphoma has been extensively researched, primary lymphoma presentation in the colorectal mucosa is rare and lacks any association with Helicobacter pylori infection. Furthermore, there are currently no standardized treatment guidelines for this condition. This report presents a rare case of primary MALT lymphoma that manifested as a broad-based polyp. The diagnosis was confirmed through histopathological and immunohistochemical examination, and the polyp was resected endoscopically with the endoscopic submucosal dissection technique. J Med Cases. 2023;14(7):255-259 doi: https://doi.org/10.14740/jmc4121

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.303
Teacher spread0.284 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

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