Introduction:
In this study, researchers aimed to create a prediction model that could identify which pancreatic cancer patients are more likely to have long-term survival. This model would help doctors make personalized treatment decisions.

Methodology:
The researchers analyzed data from all patients who had surgery for pancreatic cancer in the Netherlands between 2014 and 2016. They used statistical methods to find the best model for predicting long-term survival and tested its accuracy.

Results:
Out of 836 patients studied, 118 (14%) achieved long-term survival. The researchers found several factors linked to long-term survival:

1. Low levels of carbohydrate antigen 19-9 (CA19-9) before surgery.No need for removing blood vessels during surgery.

2. Smaller tumors (stage T1 or T2).

3. Well or moderately differentiated tumors.

4. Absence of tumor spread along nerves or blood vessels.

5. No or limited spread to nearby lymph nodes.

6. Clear margins after surgery, meaning no cancer cells left behind.

7. No major complications after surgery.

8. Use of chemotherapy after surgery.

The researchers calculated the effect of each factor on long-term survival using hazard ratios (HR) with corresponding 95% confidence intervals (CI). The prediction model performed reasonably well, with a concordance index of 0.68 and good calibration.

Conclusion:
The researchers developed a prediction model that can estimate the probability of long-term survival without cancer recurrence after pancreatic cancer surgery. This model, available at www.pancreascalculator.com, considers several factors associated with long-term survival. By using this model, doctors can provide patients with more accurate prognoses and make individualized treatment decisions.