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Record W4402685130 · doi:10.14740/jmc4263

Alpha-Fetoprotein-Producing Hepatoid Adenocarcinoma of the Stomach

2024· article· en· W4402685130 on OpenAlexvenueno aff
Lefika Bathobakae, Mohamed Elagami, Anas Mahmoud, Jaydev Kesrani, Ruhin Yuridullah, Gabriel Melki, Amer Akmal, Yana Cavanagh, Walid Baddoura

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStomachGastroenterology

Abstract

fetched live from OpenAlex

Hepatoid adenocarcinoma of the stomach (HAS) is a rare type of gastric cancer with unique clinicopathological features. HAS has a poor prognosis because of early liver, lung, and lymph node metastasis. Owing to its rarity and malignant potential, data on its pathophysiology and management are scarce. Herein, we describe a case of alpha-fetoprotein-producing HAS (AFP-HAS) with metastases to the liver, lungs, and spine. The patient presented with a 3-month history of epigastric pain and intractable emesis, initially thought to be gastroparesis given her uncontrolled diabetes mellitus. Contrast-enhanced computerized tomography (CECT) of the abdomen and pelvis revealed thickening of the gastric wall with hepatic metastases. Upper endoscopy revealed a fungating gastric mass, and the histopathology confirmed AFP-HAS. The patient did not tolerate palliative chemotherapy and died 6 months after her gastric cancer diagnosis.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.319
Teacher spread0.294 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicTesticular diseases and treatments→French-language works237,207→