Financial Toxicity in Patients with Resected Esophageal Cancer

Abstract Background Esophagectomy for esophageal cancer is associated with significant morbidity and can result in financial hardship, yet this aspect of survivorship remains understudied. This study evaluated the prevalence and risk factors of financial toxicity (FT) among patients following esophagectomy. Methods Patients who underwent esophagectomy between January 2016 and September 2022 were surveyed about demographic, financial, and employment history. Financial toxicity was measured by using the validated COST survey. Multivariate analyses identified predictors of FT. Results Of 370 patients contacted, 159 (43%) completed the survey. Median age was 65.3 years; 82.4% were male. Following therapy, 44.7% reported decreased work hours or stopped working entirely. Insurance was employer-based for 50.3%, while 40.6% had Medicare. Financial toxicity was reported by 37.1%. Risk factors included larger household size (odds ratio 2.3), low credit score (odds ratio 13.2), while high income and active retirement were protective. Conclusions More than a third of esophagectomy patients were found to have FT. Those with poor baseline financial health or disrupted employment were most vulnerable and may benefit from early financial counseling and support interventions.

Authors

Institutions

Publication Details

Journal
Annals of Surgical Oncology
Published
2026-10-06
DOI
https://doi.org/10.1245/s10434-026-20623-2
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Financial Toxicity in Patients with Resected Esophageal Cancer

Wayne Lewis Hofstetter, Michael A. Eisenberg, Kyle Gregory Mitchell, Ara Asadur Vaporciyan et al.
Annals of Surgical Oncology
Economic and Financial Impacts of Cancer
article

Financial Toxicity in Patients with Resected Esophageal Cancer

Wayne Lewis Hofstetter, Michael A. Eisenberg, Kyle Gregory Mitchell, Ara Asadur Vaporciyan, Mara Beth Antonoff, Reza John Mehran, Nathaniel Deboever, Stephen G. Swisher, David C. Rice, Ravi Rajaram, Garrett L. Walsh, Jack Roth, Nicolas Zhou
article en

Abstract

Abstract Background Esophagectomy for esophageal cancer is associated with significant morbidity and can result in financial hardship, yet this aspect of survivorship remains understudied. This study evaluated the prevalence and risk factors of financial toxicity (FT) among patients following esophagectomy. Methods Patients who underwent esophagectomy between January 2016 and September 2022 were surveyed about demographic, financial, and employment history. Financial toxicity was measured by using the validated COST survey. Multivariate analyses identified predictors of FT. Results Of 370 patients contacted, 159 (43%) completed the survey. Median age was 65.3 years; 82.4% were male. Following therapy, 44.7% reported decreased work hours or stopped working entirely. Insurance was employer-based for 50.3%, while 40.6% had Medicare. Financial toxicity was reported by 37.1%. Risk factors included larger household size (odds ratio 2.3), low credit score (odds ratio 13.2), while high income and active retirement were protective. Conclusions More than a third of esophagectomy patients were found to have FT. Those with poor baseline financial health or disrupted employment were most vulnerable and may benefit from early financial counseling and support interventions.

Annals of Surgical Oncology
The University of Texas MD Anderson Cancer Center (US)
Openalex Percentile: Top 7%
Economic and Financial Impacts of Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.