Ren SQ, Han YH, Cai C. Age and red cell distribution width in pancreatic cystic neoplasms: A simple tool for preoperative malignancy risk stratification. World J Gastrointest Surg 2026; 18(1): 115078 [DOI: 10.4240/wjgs.v18.i1.115078]
Corresponding Author of This Article
Chuang Cai, PhD, Assistant Professor, Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, No. 2 Sunwen East Road, Zhongshan 528445, Guangdong Province, China. caich6@foxmail.com
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Oncology
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Letter to the Editor
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Jan 27, 2026 (publication date) through Jan 28, 2026
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World Journal of Gastrointestinal Surgery
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1948-9366
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Ren SQ, Han YH, Cai C. Age and red cell distribution width in pancreatic cystic neoplasms: A simple tool for preoperative malignancy risk stratification. World J Gastrointest Surg 2026; 18(1): 115078 [DOI: 10.4240/wjgs.v18.i1.115078]
World J Gastrointest Surg. Jan 27, 2026; 18(1): 115078 Published online Jan 27, 2026. doi: 10.4240/wjgs.v18.i1.115078
Age and red cell distribution width in pancreatic cystic neoplasms: A simple tool for preoperative malignancy risk stratification
Shu-Qi Ren, Yuan-Huan Han, Chuang Cai
Shu-Qi Ren, Yuan-Huan Han, Department of Laboratory Medicine, Tanzhou People's Hospital of Zhongshan, Zhongshan 528467, Guangdong Province, China
Chuang Cai, Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan 528445, Guangdong Province, China
Author contributions: Ren SQ, Han YH and Cai C made substantial contributions to this manuscript; Ren SQ conceived the review and drafted the initial manuscript; Ren SQ and Han YH were responsible for literature collation; Ren SQ and Cai C edited and finalized the manuscript for submission; all authors reviewed and approved the submitted manuscript.
Conflict-of-interest statement: All authors disclose no financial relationships relevant to this publication.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Chuang Cai, PhD, Assistant Professor, Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, No. 2 Sunwen East Road, Zhongshan 528445, Guangdong Province, China. caich6@foxmail.com
Received: October 9, 2025 Revised: October 30, 2025 Accepted: November 10, 2025 Published online: January 27, 2026 Processing time: 106 Days and 6.3 Hours
Abstract
The study conducted by Martli et al, on the preoperative risk stratification of malignant potential in pancreatic cystic neoplasms (PCNs), identifies age and red cell distribution width (RDW) as independent predictors. This study offers a simple and cost-effective clinical tool for preoperative assessments. The significance lies in its integration of routine laboratory parameters with clinical features, effectively addressing the limitations associated with the accessibility and operator dependency of imaging and invasive diagnostic methods. However, factors such as the retrospective design, single-center setting, small sample size, and selection bias because of the inclusion of only surgical cases limit the generalizability of the findings. Future studies should emphasize multi-center prospective validation to further clarify the biological role of RDW in the malignant transformation of PCNs and to explore integrated models that combine RDW with imaging characteristics and molecular biomarkers, ultimately enhancing precision in individualized clinical decision-making.
Core Tip: This article underscores the significance of age and red cell distribution width (RDW) as independent predictors for preoperative malignant risk stratification in pancreatic cystic neoplasms (PCNs). A model that integrates these factors demonstrated high accuracy (area under the curve = 0.858), with age ≥ 60 years and RDW ≥ 15.5% indicating increased risk. This accessible, non-invasive tool may help to identify high-risk patients for intervention, though future multicenter validation is required. The biological role of RDW in the progression of PCN also warrants further study.