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Record W7117291323 · doi:10.1016/j.iotech.2025.101225

141P Clinical study of camrelizumab combined with SOX in adjuvant therapy for gastric or gastroesophageal junction adenocarcinoma: Interim report

2025· article· en· W7117291323 on OpenAlexfundno aff
Q. Yi, H. Liu, J. Liu, Z. Xiao, Q. Li, C. Wei, M. Jiao, C. Su, C. Wang, K. Li, L. Ma, M. Li, Y. Kong, Y. Wen

Bibliographic record

VenueImmuno-Oncology Technology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
FundersJonsson Comprehensive Cancer CenterUniversity of Colorado DenverUniversity of PittsburghMedical Center, University of PittsburghVanderbilt University Medical CenterMcGill University Health CentreMcGill UniversityNorthwestern UniversityUniversity of Texas MD Anderson Cancer CenterSchool of Medicine, Stanford UniversityVanderbilt UniversityMoffitt Cancer CenterOhio State University
KeywordsClinical studyGastroesophageal JunctionAdjuvant therapyClinical trialAdjuvantInterimInterim analysis

Abstract

fetched live from OpenAlex

D2 gastrectomy is the treatment of choice for resectable gastric cancer in East Asia. Existing evidence shows that adjuvant chemotherapy after surgery can improve patient survival. To further extend the disease-free survival (DFS) of gastric cancer patients, our study explores the synergistic effect of combining PD-1 inhibitor camrelizumab with the SOX regimen in the adjuvant treatment setting.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.036
GPT teacher head0.384
Teacher spread0.348 · 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 designNon-randomized trial
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
Published2025
Admission routes1
Has abstractyes

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