Evaluation of gemcitabine efficacy after the FOLFIRINOX regimen in patients with advanced pancreatic adenocarcinoma
Bibliographic record
Abstract
To evaluate gemcitabine efficacy in advanced pancreatic cancer patients after the FOLFIRINOX regimen.Patients with locally-advanced or metastatic pancreatic adenocarcinoma from French and Canadian centers, who were treated with the first-line FOLFIRINOX regimen (FFX L1), followed by gemcitabine monotherapy as a second-line treatment (GEM L2), were retrospectively evaluated. Statistical analyses were performed on the demographic, toxicity, and response rate data. Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method.Seventy-two patients were reviewed (median age of 63.5 years [range, 32-75 years], men [62%], predominantly pancreatic head tumor location [51%] and metastatic disease [64%] at the time of diagnosis). The objective response rate to GEM-L2 treatment was 8/72 (11%), and 32 patients (44%) experienced a clinical benefit from gemcitabine. Four patients had a partial response to GEM-L2, although they previously showed a progressive response following FFX-L1 treatment. The median OS for the entire cohort was 13.6 months (95% confidence interval [CI]: 2.0-35). The median PFS of the GEM-L2 group was 2.5 months (95% CI: 0.2-10.8) with no statistical differences between patients with controlled or progressive disease on FFX-L1 therapy.Gemcitabine as a second-line treatment for advanced pancreatic adenocarcinoma after FOLFIRINOX failure showed clinical benefits in some patients.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".