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Record W4392629847 · doi:10.7759/cureus.55843

A Rare Case of Synchronous Invasive Adenocarcinoma of the Colon and Marginal Zone Lymphoma of a Splenule Associated With Hemolytic Anemia

2024· article· en· W4392629847 on OpenAlexaff
Debduti Mukhopadhyay, Taher Sbitli, Anandita Kishore, Elijah R Ilasin, Umair Masood

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsWestern University
FundersRoswell Park Cancer Institute
KeywordsMedicineAnemiaConcomitantPathologyColonoscopyGastroenterologyPancytopeniaMicrocytic anemiaRed pulpSplenic marginal zone lymphomaInternal medicineHereditary spherocytosisSpleenSplenectomyBone marrowColorectal cancerCancer

Abstract

fetched live from OpenAlex

This case report presents a rare and intriguing clinical scenario involving a 63-year-old male with recurrent left-sided hydroureteronephrosis, hypertension, and hyperlipidemia presenting with fatigue, dyspnea, and weight loss. Laboratory findings revealed anemia, basophilic stippling, spherocytosis, and nucleated red blood cells on the peripheral blood smear, raising concerns for hemolysis. Concomitant iron deficiency anemia led to further investigations, revealing gastritis and a colonic mass. A CT scan revealed splenomegaly with an accessory spleen. The histopathological evaluation identified splenic marginal zone lymphoma (MZL) - a diagnosis supported by flow cytometry. Simultaneously, the patient was found to have a moderately differentiated colorectal adenocarcinoma on colonoscopy. This unique case highlights a rare synchronous occurrence of invasive colonic adenocarcinoma with splenule MZL, an unprecedented finding in medical literature.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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
Published2024
Admission routes1
Has abstractyes

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