Abstract 896: Age-based left-digit bias in the treatment of pancreatic adenocarcinoma.
Abstract Purpose: Left digit bias, where the left-most digit disproportionately influences decision-making, can impact treatment decisions and patient outcomes. This study examines how such bias may affect treatment decisions for patients with pancreatic adenocarcinoma (PDAC), focusing on differences between patients aged 79 and 80. Method: A retrospective cohort study using the National Cancer Database (2004-2020) analyzed patients with PDAC aged 79 and 80. The primary exposure was age-based left-digit bias. The main outcomes measured included differences in treatment received and overall survival. Statistical analyses included chi-square tests, multivariate analysis, Kaplan-Meier survival curves, and Cox proportional hazards models. Results: Among 5,304 patients (2,718 aged 79, 2,586 aged 80), chemotherapy use was higher in 79-year-olds (50.3%) than 80-year-olds (45.1%) (OR 0.79, 95% CI 0.70-0.89, p<0.01). No significant differences were found in surgery or radiation. Chemotherapy was associated with lower mortality risk (HR 0.85, 95% CI 0.79-0.92, p<0.01). Adjusted overall survival was similar between groups (HR 1.00, 95% CI 0.93-1.07, p=0.91). Conclusion: Left digit bias was observed in the treatment of PDAC, with a tendency to favor chemotherapy for patients aged 79 over 80. This highlights the need for age-neutral decision-making in treatment planning to avoid biases that could impact patient care and outcomes. Citation Format: Qianyun Luo, Bethel Ozed-Williams, David Brauer, Bryan Trottier, Todd Tuttle, Jane Hui, Eric H. Jensen, Jacob Ankeny, Christopher J. LaRocca, Schelomo Marmor. Age-based left-digit bias in the treatment of pancreatic adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 896.
Authors
- Bryan Trottier (ORCID: https://orcid.org/0000-0001-5630-7720)
- Todd M. Tuttle (ORCID: https://orcid.org/0000-0001-6603-2062)
- Jacob S. Ankeny (ORCID: https://orcid.org/0000-0002-4595-8592)
- Qianyun Luo (ORCID: https://orcid.org/0000-0002-9453-8279)
- E. Jensen
- David G. Brauer (ORCID: https://orcid.org/0000-0002-0251-4350)
- Schelomo Marmor (ORCID: https://orcid.org/0000-0003-0880-2721)
- Christopher J. LaRocca (ORCID: https://orcid.org/0000-0002-9808-1405)
- Jane Yuet Ching Hui (ORCID: https://orcid.org/0000-0002-2628-0720)
- Bethel Ozed-Williams
Institutions
- University of Minnesota (US)
Publication Details
- Journal
- Cancer Research
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1158/1538-7445.am2026-896
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00