Outcomes and Characteristics of Patients Receiving Second-line Therapy for Advanced Pancreatic Cancer
Bibliographic record
Abstract
OBJECTIVES: There is limited randomized data to guide second-line chemotherapy selection in advanced pancreatic cancer (APC). We aimed to characterize predictors and outcomes of second-line chemotherapy in patients with APC. METHODS: We identified all patients with APC [locally advanced (LAPC) or metastatic (MPC)] who received ≥1 cycle of first-line chemotherapy between January 2012 and December 2015 across 6 cancer centers in British Columbia, Canada. Baseline characteristics and survival outcomes were summarized. RESULTS: Of 676 patients with APC (31% LAPC, 69% MPC) who received ≥1 cycle of chemotherapy, 164 (24%) received second-line chemotherapy. These patients were younger, with lower ECOG and higher CA19-9 at presentation, compared with patients who did not receive second-line chemotherapy. There were no differences in rates of second-line chemotherapy between LAPC and MPC (28% vs. 23%; P=0.18). Only first-line FOLFIRINOX was associated with second-line chemotherapy. Median overall survival (OS) from second-line chemotherapy was longer with second-line gemcitabine/nab-paclitaxel than fluoropyrimidine or gemcitabine (7.9 vs. 5.1 vs. 4.3 mo; P=0.008). On multivariable analysis, longer OS from second-line chemotherapy was associated with gemcitabine/nab-paclitaxel, lower ECOG, and LAPC. CONCLUSIONS: In this population-based cohort, first-line FOLFIRINOX was the strongest predictor of second-line chemotherapy. Duration of therapy remains short and novel treatments are urgently needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".