Related Experiment Video
Updated: Jan 18, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Causes of death after surgery among cancer patients: a population-based cohort study
Yutai Hao1, Chengcai Liang1, Yifang Zhang1,2,3
1State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Introduction:
Recent advancements in surgical techniques and perioperative care have improved cancer survival rates, yet post-operative comorbidity and mortality remain a critical concern. Despite progress in cancer control, systematic analyses of long-term mortality trends and competing risks in surgery-intervened cancer populations are lacking. This study aimed to quantify temporal patterns of post-operative mortality causes across 21 solid cancers and identify dominant non-cancer risk factors to inform survivorship care strategies.
Methods:
This retrospective, population-based cohort study analyzed data from 3 424 671 patients (including 2 371 058 surgical cases) diagnosed with 21 solid cancers between 1992 and 2021, sourced from the Surveillance, Epidemiology, and End Results database. Competing risk models were applied to assess cumulative mortality rates from index-cancer, non-index-cancer, and non-cancer causes, with stratification by cancer type. Surgical interventions were evaluated across short-term (30-day) and long-term follow-up periods, with primary outcomes focused on mortality attribution and secondary outcomes on temporal dominance shifts.
Results:
In this population-based retrospective cohort study of 3 424 671 patients with 21 solid cancers (1992-2021), non-cancer deaths surpassed index-cancer mortality in 14 malignancies (e.g., prostate, breast, colorectal), accounting for 48.7% of post-surgical deaths, with cardiovascular diseases and infections as primary contributors. By the 2020s, non-cancer causes emerged as the leading mortality driver in these cancers. However, index-cancer mortality remained predominant in pancreatic, ovarian, and brain tumors, highlighting the persistent therapeutic gaps. Surgical resection significantly altered mortality profiles for cancer population, with a 95.7% increase in non-cancer mortality for lung cancer and an 87.3% increase for pancreatic cancer ( P < 0.001), underscoring the critical need for enhanced post-operative comorbidity management. While 1-month post-surgical mortality improved over three decades for most solid cancers, disparities persisted in brain, biliary tract, and colorectal cancers. These findings advocate for multidisciplinary strategies prioritizing non-cancer comorbidities, particularly cardiovascular and infectious risks, to optimize long-term survival in cancer survivors.
Conclusion:
This study highlights a paradigm shift in post-operative mortality, with no-cancer cause of deaths now surpassing cancer-related deaths in most solid tumors. These findings underscore the urgency of integrating multidisciplinary care targeting cardiovascular health and infection prevention into survivorship programs.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
Peripheral Artery Disease V: Postoperative Nursing Management
Cancer Therapies
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Assumptions of Survival Analysis
Kaplan-Meier Approach

