Use of <i>nab</i> -paclitaxel and gemcitabine in pancreatic cancer without granulocyte colony-stimulating factor: A multicenter real-world experience
Bibliographic record
Abstract
INTRODUCTION: The metastatic pancreatic adenocarcinoma clinical trial (MPACT) trial established gemcitabine (gem) and nab-paclitaxel (nab) as a standard treatment for pancreatic cancer utilizing granulocyte colony-stimulating factors to manage neutropenia. This was a challenge for jurisdictions that do not use granulocyte colony-stimulating factors in palliative settings. We developed dosage guidelines to dose modify gem and nab without granulocyte colony-stimulating factors. We undertook a retrospective review to determine the efficacy and safety of these dose adjustment guidelines in the real world. METHODS: A multi-centered, retrospective chart review was performed on pancreatic patients between December 1, 2014, and August 21, 2018. Provincial electronic medical health records were reviewed. Using Log-rank statistics we determined the patient's progression-free survival and overall survival. RESULTS: Of 248 patients, 209 met patient selection criteria. Patients were excluded if they were lost to follow-up, on gem alone prior to nab/gem combination therapy or did not receive nab or gem. Patients who received nab/gem as first-line therapy had a median progression-free survival of 6.3 months (95% CI, 5.1-7.4), and median overall survival of 11.1 months (95% CI, 9.5-12.8). Those who received gem/nab in the second line had a median progression-free survival of 4.6 months (95% CI, 2.8-6.5), and median overall survival of 19.3 months (95% CI, 12.6-26.0). CONCLUSIONS: The patient's progression-free survival and overall survival taking nab/gem using our dose modification algorithm were equivalent or superior to the MPACT trial's progression-free survival and overall survival. Gem/nab can be given by our dose modification scheme without granulocyte colony-stimulating factor.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| 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".