Mayer NR, Ehrenpreis ED. Modeling post-operative survival in patients with gallbladder cancer resections: The road to improved patient care? World J Gastrointest Surg 2025; 17(2): 101553 [DOI: 10.4240/wjgs.v17.i2.101553]
Corresponding Author of This Article
Eli Daniel Ehrenpreis, AGAF, FACG, Department of Internal Medicine, Lutheran General Hospital, 1775 Dempster Street, Park Ridge, IL 60068, United States. eli.ehrenpreis@aah.org
Research Domain of This Article
Oncology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
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/
World J Gastrointest Surg. Feb 27, 2025; 17(2): 101553 Published online Feb 27, 2025. doi: 10.4240/wjgs.v17.i2.101553
Modeling post-operative survival in patients with gallbladder cancer resections: The road to improved patient care?
Nancy R Mayer, Eli Daniel Ehrenpreis
Nancy R Mayer, Department of Internal Medicine, Riverside Medical Center, Kankakee, IL 60901, United States
Eli Daniel Ehrenpreis, Department of Internal Medicine, Lutheran General Hospital, Park Ridge, IL 60068, United States
Author contributions: Ehrenpreis ED designed the overall concept and outline of the manuscript; Mayer NR contributed to the discussion and design of the manuscript; Ehrenpreis ED and Mayer NR contributed to the writing, and the editing of the manuscript and review of literature.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
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: Eli Daniel Ehrenpreis, AGAF, FACG, Department of Internal Medicine, Lutheran General Hospital, 1775 Dempster Street, Park Ridge, IL 60068, United States. eli.ehrenpreis@aah.org
Received: September 18, 2024 Revised: November 26, 2024 Accepted: December 12, 2024 Published online: February 27, 2025 Processing time: 125 Days and 16.2 Hours
Abstract
In this letter, we discuss the article by Li et al published in the World Journal of Gastrointestinal Surgery. Gallbladder cancer is a rare but fatal cancer that is often detected unexpectedly and at an advanced stage following routine cholecystectomy. Although the prognosis is poor, curative resections often combined with postoperative chemotherapy and/or radiation therapy can improve survival. However, targeted patient selection for the appropriate therapeutic approach is critical to minimize unnecessary morbidity. Using advanced statistical techniques, the authors developed a nomogram with the potential to predict survival after gallbladder cancer resection, identifying factors associated with long- and short-term survival. This tool could improve patient selection for surgery and post-operative treatment. In this letter, we provide background on survival nomograms including an in-depth discussion of statistical methods employed in this study, the use of nomograms in other forms of cancer, limitations to the model, and directions for future research.
Core Tip: Li et al address an important issue related to curative resection in patients with gallbladder cancer by introducing a new nomogram to predict survival in this patient group. The study employed sophisticated statistical techniques to analyze data from ninety-three patients undergoing curative resection for gallbladder cancer. Critical factors affecting survival included the presence of lymph node metastasis, degree of tumor differentiation, and tumor invasion in extrahepatic bile ducts and local neuronal structures. Predicting patient survival with this nomogram has the potential to improve the selection of treatment options for patients with this difficult-to-manage form of cancer.
