MétaCan
Menu
Back to cohort
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

<p class="cco-body"><span lang="EN-GB">The gastric cancer producing carbohydrate antigen 19-9 (CA 19-9) is a rare and unknown that characterize informations.</span></p><p class="cco-body"><span lang="EN-GB">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.</span></p><p class="cco-body"><span lang="EN-GB">We report one high level of CA 19-9 gastric cancer case with dramatically chemosensitive.</span></p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Same venueCancer and Clinical OncologySame topicGlycosylation and Glycoproteins ResearchFrench-language works237,207