Primary care vs. oncology-driven surveillance following adjuvant chemotherapy in resected pancreas cancer.
Bibliographic record
Abstract
e18163 Background: No standard surveillance strategy exists following resection of pancreas cancer. Our aims were to describe patterns of surveillance and to evaluate their impact on outcomes. Methods: Patients who received at least one cycle of adjuvant gemcitabine or 5-fluorouracil monotherapy at any 1 of 5 cancer centers in British Columbia from 2004 to 2015 were included. Surveillance was divided into two groups: discharged to primary care physicians (PCP) or follow up with oncologists (ONC) that included regular clinical assessments, laboratory testing and/or imaging. Results: We identified 147 patients. Median age at diagnosis was 64 (range 38-85) years and 48% were men. More patients were followed by ONC than PCP (66% vs. 44%). ONC were more likely to follow patients with T3/4 (78% vs. 62%, P = 0.03), while all other prognostic factors were balanced between the two groups. At the time of analysis, 68% of patients had a documented recurrence and 59% died. The median overall survival (OS) was 2.82 (95% CI 2.17-3.32) years in the ONC group and 3.35 (95% CI 2.85-5.06) years in the PCP group while the median relapse free survival (RFS) was 1.4 (95% CI 1.37-1.77) and 2.4 (95% CI 2.07-4.59) years, respectively. On multivariate analysis, there was no significant difference in OS between ONC and PCP-driven surveillance (HR 1.23; 95% CI 0.74-2.04, P = 0.4); however, RFS favored the PCP group (HR 1.62; 95% CI 1.01-2.56, P = 0.04, for oncology). On recurrence, 51% of patients received chemotherapy where the most common first line regimens were FOLFIRINOX (21%) and Gemcitabine/Nab-paclitaxel (20%). Patients followed by ONC were more likely to receive chemotherapy on recurrence than those followed by PCP (58% vs. 34%, respectively, P = 0.03), however, there was no difference in survival after recurrence between PCP & ONC (recurrence to death, 5.7 vs 8.9 months, respectively (P = 0.21). Conclusions: Surveillance tests and imaging performed by ONC detected recurrences earlier and correlated with a higher likelihood of aggressive therapy when compared to follow up by PCPs, but this did not result in OS differences. PCPs may have a larger role in the follow up care of selected patients with resected pancreas cancer.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".