Projects per year
Abstract
Current treatment recommendations for resectable pancreatic cancer support upfront resection and adjuvant therapy. Randomized controlled trials offering comparison with the emerging neoadjuvant approach are lacking.
This review aims to compare both treatment strategies for resectable pancreatic cancer. PubMed, MEDLINE, Embase, Cochrane Database and Cochrane Databases were searched for studies comparing neoadjuvant and surgery-first with adjuvant therapy for resectable pancreatic cancer. A Bayesian network meta-analysis was conducted using the Markov chain Monte Carlo method. Cochrane Collaboration’s risk of bias, ROBINS-I and GRADE tools were used to assess quality and risk of bias of included trials.
9 studies compared neoadjuvant therapy and surgery-first with adjuvant therapy (n = 22,285). Aggregate rate (AR) of R0 resection for neoadjuvant therapy was 0.8008 (0.3636–0.9144) versus 0.7515 (0.2026–0.8611) odds ratio (O.R.) 1.27 (95% CI 0.60–1.96). 1-year survival AR for neoadjuvant therapy was 0.7969 (0.6061–0.9500) versus 0.7481 (0.4848–0.8500) O.R. 1.38 (95% CI 0.69–2.96). 2-year survival AR for neoadjuvant therapy was 0.5178 (0.3000–0.5970) versus 0.5131 (0.2727–0.5346) O.R. 1.26 (95% CI 0.94–1.74). 5-year AR survival for neoadjuvant therapy was 0.2069 (0.0323–0.3300) versus 0.1783 (0.0606–0.2300) O.R. 1.19 (95% CI 0.65–1.73).
In conclusion neoadjuvant therapy may offer benefit over surgery-first and adjuvant therapy. However, further randomized controlled trials are needed.
This review aims to compare both treatment strategies for resectable pancreatic cancer. PubMed, MEDLINE, Embase, Cochrane Database and Cochrane Databases were searched for studies comparing neoadjuvant and surgery-first with adjuvant therapy for resectable pancreatic cancer. A Bayesian network meta-analysis was conducted using the Markov chain Monte Carlo method. Cochrane Collaboration’s risk of bias, ROBINS-I and GRADE tools were used to assess quality and risk of bias of included trials.
9 studies compared neoadjuvant therapy and surgery-first with adjuvant therapy (n = 22,285). Aggregate rate (AR) of R0 resection for neoadjuvant therapy was 0.8008 (0.3636–0.9144) versus 0.7515 (0.2026–0.8611) odds ratio (O.R.) 1.27 (95% CI 0.60–1.96). 1-year survival AR for neoadjuvant therapy was 0.7969 (0.6061–0.9500) versus 0.7481 (0.4848–0.8500) O.R. 1.38 (95% CI 0.69–2.96). 2-year survival AR for neoadjuvant therapy was 0.5178 (0.3000–0.5970) versus 0.5131 (0.2727–0.5346) O.R. 1.26 (95% CI 0.94–1.74). 5-year AR survival for neoadjuvant therapy was 0.2069 (0.0323–0.3300) versus 0.1783 (0.0606–0.2300) O.R. 1.19 (95% CI 0.65–1.73).
In conclusion neoadjuvant therapy may offer benefit over surgery-first and adjuvant therapy. However, further randomized controlled trials are needed.
Original language | English |
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Article number | 4354 |
Number of pages | 7 |
Journal | Scientific Reports |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 Mar 2019 |
Keywords
- pancreatic cancer
- neoadjuvant therapy
- Bayesian network model
- surgery
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Projects
- 1 Finished
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Improving Outcomes for Patients with Pancreatic Cancer
van der Meer, R. (Principal Investigator) & Morton, A. (Co-investigator)
1/08/16 → 31/07/19
Project: Research
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Digital twins in healthcare
van der Meer, R., 24 Jun 2024. 12 p.Research output: Contribution to conference › Keynote
Open AccessFile -
Computer simulated comparison of neoadjuvant versus upfront surgery for resectable pancreatic cancer: the application of machine-learning algorithms to support personalised decision-making
Bradley, A., Van Der Meer, R. & McKay, C., 7 Dec 2020, In: British Journal of Surgery. 107, S4, p. 141-141 1 p., WS15.014.Research output: Contribution to journal › Conference abstract › peer-review
Open Access -
Optimising outcomes for resectable pancreatic cancer by learning lessons from military strategy and the stockmarket: creation of a prognostic Bayesian belief network that makes personalised pre and post-operative predictions of outcome across competing treatment strategies
Bradley, A., van der Meer, R. & McKay, C. J., 7 Dec 2020, In: British Journal of Surgery. 107, S4, p. 141 1 p., WS15.015.Research output: Contribution to journal › Conference abstract › peer-review
Activities
- 1 Invited talk
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Data Science in understanding cancer: hands-on examples
van der Meer, R. (Invited speaker)
7 Feb 2023Activity: Talk or presentation types › Invited talk