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Record W4212945343 · doi:10.1159/000521888

Gastric Signet-Ring-Cell Adenocarcinoma with Delayed Retroperitoneal Metastasis and Fibrosis

2022· article· en· W4212945343 on OpenAlexaff
Matthew G.K. Benesch, Alexander Mathieson

Bibliographic record

VenueCase Reports in Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineSignet ring cellMalignancySignet ring cell carcinomaDiseaseAdenocarcinomaCancerPathologyMetastasisInternal medicine

Abstract

fetched live from OpenAlex

Gastric signet-ring-cell adenocarcinoma (SRCC) is a rare disease entity, often characterized by early age of the onset and sometimes attributable to heritable genetic mutations. Overall prognosis is usually poor due to diagnosis at late stages. There are a handful of case reports that describe patient presentation with retroperitoneal fibrosis secondary to malignancy from a concurrent gastric SRCC found on the workup. No information exists on timing from primary tumor development to retroperitoneal disease. Further, there is speculation that gastric SRCC may have an indolent phase prior to symptomatic disease, but its natural history is essentially entirely unknown. In this case report, we describe a 39-year-old male with an incidentally discovered gastric SRCC who then underwent multimodality treatment with curative intent. No evidence of recurrence was documented on interval surveillance scans for 4.5 years, at which point, he rapidly developed a large retroperitoneal mass that was biopsied for metastatic disease. He succumbed to his pathology within 6 months. This presentation suggests that gastric SRCC could have both a relatively long indolent phase and an unpredictable propensity for explosive metastatic progression. Tumor biology factors that affect this balance are not understood.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.293
Teacher spread0.271 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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