ABSTRACT Background and Objectives Surgery is the mainstay of treatment for localized colorectal cancer (CRC); however, little is known about survival outcomes following CRC surgery in low‐ and middle‐income countries (LMICs). Here, we examine the available data on long‐term outcomes following CRC resections in LMICs. Methods A systematic review and meta‐analysis were conducted on primary research studies reporting survival data after CRC resection with curative intent in LMICs. Disease‐free survival (DFS) and overall survival (OS) data were extracted, and random effects modelling was used to estimate the pooled survival rates. Results One hundred and fifty‐four studies representing 20,589 CRC patients were analyzed. Notably, only 27 (20%) of the 137 LMICs were represented in the literature. The pooled 5‐year OS estimate was 88% (95% CI: 77–95), 76% (69–81), and 57% (49–64) for Stages I, II, and III, respectively. 5‐year DFS estimates were 82% (71–90), 76% (67–84), and 59% (51–65) for stages I, II, and III, respectively. Combined OS and DFS estimates for all three stages were 76% and 69%, respectively. Survival rates varied considerably across the included studies and between income groups. Conclusions With the rising incidence of CRC globally, our work highlights the dearth of data on long‐term outcomes following CRC operations in most LMICs and emphasizes the urgent need for research capacity building.
Abstract 84: Survival Following Colorectal Cancer Surgery in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis
Abstract Purpose: Colorectal Cancer (CRC) is a leading cause of death from cancer globally. Surgery is the mainstay of treatment for localized CRC; however, little is known about survival outcomes following CRC surgery in low- and middle-income countries (LMICs). In this study, we examine the published literature for data on long-term outcomes following CRC resections in LMICs. Methods: We systematically reviewed PubMed, Web of Science, Embase, and Global Index Medicus for original research articles reporting survival data after CRC resection with curative intent in LMICs, published between January 2005 and May 2022. LMICs were defined according to the 2020 World Bank categories. We excluded studies without English full text or involving pediatric populations (<18 years), non-primary colorectal, benign disease, and endoscopic/transanal resection only. Studies from China dominated the published literature and were excluded. Abstracts and full texts were reviewed by two independent reviewers, and a third reviewer resolved conflicts. Disease-free survival (DFS) and overall survival (OS) data were extracted, and random effects modelling was used to estimate the pooled survival rates. Results: Our search returned 32,261 articles. After deduplication, 20,729 abstracts were assessed for eligibility, with 154 articles meeting inclusion criteria, representing a total of 20,589 CRC patients. 98 (63.6%) studies were from upper-middle-income (UM) countries, 55 (35.7%) from lower-middle-income (LM) countries and only one was from a low-income (L) country. Notably, only 27 (20%) of the 137 LMICs were represented in the literature. Turkey accounted for the highest frequency (29%) of included articles. Most (60%) of the studies were retrospective cohort design, and only three (3) were randomized controlled trials. The pooled 5-year OS estimate was 88% (95% CI: 77–95) for Stage I disease, 76% (69–81) for Stage II, and 57% (49–64) for Stage III. 5-year DFS estimates were 82% (71–90), 76% (67–84), and 59% (51–65) for stages I, II and III respectively. Survival rates varied considerably between income groups, with the strongest disparity seen with Stage III OS data at 18 months: 89% in UM, 86% in LM, and 50% in L (p=0.0005). Conclusion: With the rising incidence of CRC in LMICs, our work highlights the dearth of data on long-term outcomes following CRC operations in LMICs and emphasizes the urgent need for research capacity building, especially in low-income countries. Citation Format: Oluwasegun Afolaranmi, Thomas M. Diehl, Sehar Salim Virani, Qiuyu Yang, Kenechukwu Okwunze, Adel H. Khan, Nabiha Akhlaq Mughal, Daniel Schroeder, Sheida Pourdashti, Leslie Christensen, Sadaf Khan, Syed Nabeel Zafar. Survival Following Colorectal Cancer Surgery in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis [abstract]. In: Proceedings of the 13th Annual Symposium on Global Cancer Research; 2025 Sep 16. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(12_Suppl):Abstract nr 84.
Readmissions From Venous Thromboembolism After Complex Cancer Surgery
Purpose: Hospital readmissions after surgery are a focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after complex cancer surgery. Methods: The Nationwide Readmissions Database (2013) was used to select patients undergoing a complex oncologic resection, which was defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, or cystectomy. Readmissions within 30 days from discharge were analyzed. International Classification of Diseases (9th revision) primary diagnosis codes were reviewed to identify PPRs. Multivariable logistic regression analyses identified demographic, clinical, and hospital factors associated with readmissions. Results: Of the 59,493 eligible patients, 14% experienced a 30-day readmission, and 82% of these were deemed PPRs. Half of the readmissions occurred within the first 8 days of discharge. Infections (26%), GI complications (17%), and respiratory conditions (10%) accounted for most readmissions. Factors independently associated with an increased likelihood of readmission included Medicaid versus private insurance (odds ratio [OR], 1.32; 95% CI, 1.17 to 1.48), higher comorbidity score (OR, 1.5; 95% CI, 1.33 to 1.63), discharge to a facility (OR, 1.39; 95% CI, 1.29 to 1.51), prolonged length of stay (OR, 1.42; 95% CI, 1.32 to 1.52), and occurrence of a major in-hospital complication (OR, 1.24; 95% CI, 1.16 to 1.34). Conclusion: One in seven patients undergoing complex cancer surgery suffered a readmission within 30 days. We identified common causes of these and identified patients at high risk for such an event. These data can be used by physicians, administrators, and policymakers to develop strategies to decrease readmissions.
Comparison of Rates and Outcomes of Readmission to Index vs Nonindex Hospitals After Major Cancer Surgery
109 Background: Hospital readmissions following surgery are a focus of quality improvement efforts nationwide. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with PPRs after complex cancer surgery. Methods: The National Readmissions Dataset (2013) was used to select patients undergoing a complex oncologic resection (defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, and cystectomy). All Readmissions occurring within 30 days from discharge were analyzed. Causes for readmissions were categorized in eleven diagnostic groups and tabulated. ICD-9 primary diagnosis codes were reviewed to identify PPRs. Logistic regression analyses were used to identify demographic, clinical and hospital factors associated with PPRs. Results: We analyzed 60,970 patients with 92,260 admissions. A 30 day readmission occurred in 14% of patients, and was highest following cystectomy (25%) and lowest for lung resections (9%). Of all readmissions 82% were deemed to be PPRs. Half of PPRs occurred within the first 10 days of discharge. Infections, gastrointestinal complications and respiratory conditions accounted for 59% of PPRs. Other common causes included dehydration/electrolyte deficiencies (11%), exacerbation of comorbidity (9.2%), bleeding (5%), thromboembolism (3.5%), and wound complications (3.2%). Factors associated with an increased likelihood of PPRs include Medicaid compared with private insurance (OR 1.24, 95%CI 0.8-1.7), higher comorbid conditions (OR 1.44, 95%CI 1.32, 1.59), and discharge to a facility (OR 1.9, 95%CI 1.7-2.1). Patients with a prolonged hospital stay or a major complication during the index admission had a 34% (OR 1.34, 95%CI 1.3-1.4), and 64% (OR 1.64, 95%CI 1.5-1.7) higher likelihood of a PPR respectively. Conclusions: Most 30 day readmissions after complex cancer surgery are potentially preventable and occur within 10 days of discharge. We identify common causes of readmission and high risk populations to help physicians, administrators and policy makers develop strategies to decrease PPRs.