Abstract
Background
When treating potentially resectable pancreatic adenocarcinoma, therapeutic decisions
are left to the sensibility of treating clinicians who, faced with a decision that
post hoc can be proven wrong, may feel a sense of regret that they want to avoid.
A regret-based decision model was applied to evaluate attitudes toward neoadjuvant
therapy versus upfront surgery for potentially resectable pancreatic adenocarcinoma.
Methods
Three clinical scenarios describing high-, intermediate-, and low-risk disease-specific
mortality after upfront surgery were presented to 60 respondents (20 oncologists,
20 gastroenterologists, and 20 surgeons). Respondents were asked to report their regret
of omission and commission regarding neoadjuvant chemotherapy on a scale between 0
(no regret) and 100 (maximum regret). The threshold model and a multilevel mixed regression
were applied to analyze respondents’ attitudes toward neoadjuvant therapy.
Results
The lowest regret of omission was elicited in the low-risk scenario, and the highest
regret in the high-risk scenario (P < .001). The regret of the commission was diametrically opposite to the regret of
omission (P ≤ .001). The disease-specific threshold mortality at which upfront surgery is favored
over the neoadjuvant therapy progressively decreased from the low-risk to the high-risk
scenarios (P ≤ .001). The nonsurgeons working in or with lower surgical volume centers (P = .010) and surgeons (P = .018) accepted higher disease-specific mortality after upfront surgery, which resulted
in the lower likelihood of adopting neoadjuvant therapy.
Conclusion
Regret drives decision making in the management of pancreatic adenocarcinoma. Being
a surgeon or a specialist working in surgical centers with lower patient volumes reduces
the likelihood of recommending neoadjuvant therapy.
Graphical abstract

Graphical Abstract
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Article info
Publication history
Published online: March 15, 2023
Accepted:
January 17,
2023
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2023 Elsevier Inc. All rights reserved.