80P Tumor markers evolution in pts treated with TCE and association with radiologic response
Bibliographic record
Abstract
Background: This study aims to identify a new prognostic index for patients with biliary tract cancer (BTC) treated with cisplatin, gemcitabine and durvalumab (CGD) in first-line setting. Methods:The study population consisted of 319 patients with BTC from 11 Eastern and Western Countries.Using multivariate analysis, we previously developed a prognostic model called the CGD index by combining the 5 baseline positive variables and assigning a weight from 1 to 5 as follows: 1 for metastatic disease, 2 for CEA increased levels, 3 for albumin decreased levels, 4 for GGT increased levels, 5 for NLR 3. Patients were stratified into three risk-groups as follows: low risk-group (RG) (score from 0 to 5), intermediate RG (score from 6 to 10), and high RG (score from 11 to 15).Results: Median progression-free survival was 10.5 months (95% CI: 8.4-11.9months) in low RG (27.3%), 8.7 months (95% CI: 7.1-9.9months) in intermediate RG (38.9%), and 5.5 months (95% CI: 4.4-7.4months) in high RG (33.8%; low risk HR: 0.44, intermediate risk HR: 0.63, high risk HR: 1, p<0.01].Median overall survival was 17.9 months (95% CI: 13.5-17.9months) in low RG,15.6 months (95% CI: 10.2-18.4months) in intermediate RG, and 8.0 months (95% CI: 7.4-12.5 months) in high RG (low risk HR: 0.32, intermediate risk HR: 0.52, high risk HR: 1, p<0.01).There was no difference in objective response rate (low risk: 28.7%, intermediate risk: 36.3%, and high risk: 29.6%; p¼0.26), while disease control rate was significantly different in the three RGs (low risk: 78.2%, intermediate risk: 72.6%, and high risk: 61.1%; p<0.01) as well as the rate of patients receiving a second-line therapy (low risk: 21.8%, intermediate risk: 23.4%, and high risk: 17.6%; p¼0.02).The safety profile was similar in the three RGs, except for nausea (low risk: 36.8%,intermediate risk: 42.7%, high risk: 26.8%; p¼0.04), leukopenia (low risk: 28.7%, intermediate risk: 33.1%, high risk: 16.7%; p¼0.01), and neutropenia (low risk: 55
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".