Eligibility of Metastatic Pancreatic Cancer Patients for First-Line Palliative Intent nab-Paclitaxel Plus Gemcitabine Versus FOLFIRINOX
Bibliographic record
Abstract
OBJECTIVES: The PRODIGE and MPACT trials showed superiority of FOLFIRINOX and nab-paclitaxel plus gemcitabine (NG) over gemcitabine alone, respectively. However, both had strict inclusion criteria. We sought to determine the characteristics of patients with metastatic pancreatic cancer (MPC) which inform the appropriateness of first-line chemotherapy FOLFIRINOX and NG in routine practice. MATERIALS AND METHODS: Patients with MPC who initiated palliative chemotherapy with gemcitabine from 2000 to 2011 at the British Columbia Cancer Agency were identified. Clinicopathologic variables and outcomes were retrospectively collected and compared among groups. Eligibility criteria for each regimen were in accordance with the respective pivotal phase III trials. RESULTS: A total of 473 patients were included: 25% of the patients were eligible for FOLFIRINOX versus 45% for NG. Main reasons for FOLFIRINOX ineligibility were Eastern Cooperative Oncology Group (ECOG) performance status (PS)≥2 (56.5%), age older than 75 years (19.0%), and bilirubin>1.5× upper limit of normal (18.6%), whereas those for NG ineligibility were bilirubin > upper limit of normal (24.5%), ECOG PS≥3 (14.6%), and cardiac dysfunction (13.8%). Univariate analyses revealed that FOLFIRINOX and NG-eligible patients had longer median overall survival than their respective ineligible group (8.6 vs. 4.7 mo, P<0.001; 6.7 vs. 4.9 mo, P=0.008, respectively). After accounting for ECOG PS in the multivariate model, however, eligibility for either FOLFIRINOX or NG no longer predicted for better overall survival. CONCLUSIONS: The majority of patients with MPC are not candidates to either NG or FOLFIRINOX due to restrictive eligibility requirements. Specific trials addressing the unmet needs of protocol ineligible patients are warranted.
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 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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".