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Record W2544473780 · doi:10.5539/cco.v5n2p49

A Case Report of Carbohydrate Antigen 19-9 Producing Advanced Gastric Cancer

2016· article· en· W2544473780 on OpenAlexvenueno aff
Konomi Mizuguchi, Koichi Sato, Hiroshi Maekawa, Mutsumi Sakurada, Hajime Orita, Tomoyuki Kushida, Kouji Senuma, Tomoaki Ito, Hirokazu Matsuzawa, Syunsuke Watanabe, Satoshi Tokuda, Syuhei Ueda, Ryo Wada

Bibliographic record

VenueCancer and Clinical Oncology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsnot available
Fundersnot available
KeywordsGastrectomyMedicineCancerLymph nodeGastroenterologyInternal medicineBiopsy

Abstract

fetched live from OpenAlex

The gastric cancer producing carbohydrate antigen 19-9 (CA 19-9) is a rare and unknown that characterize informations. 74-year-old woman who was admitted with complaints of epigastric discomfort. An advanced cancer was found in her lower gastric region; biopsy of the tumor revealed poorly-differentiated adenocarcinoma. Her serum CA 19-9 was extremely elevated at 2322 U/ml and computed tomography demonstrated enlargement of the para-aortic lymph node; thus the tumor was considered unresectable. The patient received 8 cycles of chemotherapy with S-1/cisplatin, which shrank the para-aortic lymph node dramatically, hence she underwent D2 gastrectomy. Immunohistochemical staining of the resected cancer revealed that a third of the cancer cells were positive for CA 19-9. In addition, her serum CA 19-9 decreased rapidly after surgery and she remains alive without recurrence three years after surgery. We report one high level of CA 19-9 gastric cancer case with dramatically chemosensitive.

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)0.003
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 score0.008
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0040.002

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 head0.058
GPT teacher head0.435
Teacher spread0.377 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

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