Back to Search Start Over

Prevalence of and factors associated with a treatment delay due to the COVID-19 pandemic in patients with gastrointestinal cancer in Europe.

Authors :
Roderburg C
Loosen SH
Leyh C
Joerdens MS
Mohr R
Luedde T
Alymova S
Klein I
Kostev K
Source :
Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2023 Oct; Vol. 149 (13), pp. 11849-11856. Date of Electronic Publication: 2023 Jul 06.
Publication Year :
2023

Abstract

Background: Recent studies have raised the issue of delayed cancer care during the COVID-19 pandemic, but the extent of delays and cancellations in cancer treatment, screening and diagnosis varied widely by geographic region and study design, highlighting the need for further research.<br />Methods: We used the Oncology Dynamics (OD) database featuring data from a cross-sectional, partially retrospective survey to analyze treatment delays in 30,171 GI cancer patients from five European countries (Germany, France, UK, Spain, and Italy). Risk factors for treatment delays were identified using multivariable logistic regression models.<br />Results: Treatment delays were documented in 1342 (4.5%) of the study patients, with most patients having a delay of less than 3 months (3.2%). We observed decisive differences of treatment delay in relation to geographical, healthcare- and patient-related factors. Treatment delay was highest in France (6.7%) and Italy (6.5%) and lowest in Spain (1.9%, p < 0.001). 5.9% of patients treated at general hospitals but only 1.9% of those treated by office-based physicians experienced treatment delays (p < 0.001). Moreover, the difference between lines of therapy was highly significant and ranged from 7.2% for early-stage patients in primary therapy to 2.6% in advanced/metastatic cancer patients receiving 4th or later line therapy (p < 0.001). Finally, the proportion of cases with delayed treatments increased from 3.5% in asymptomatic patients (ECOG 0) to 9.9% in bedridden patients (ECOG IV, p < 0.001). Results were confirmed in multivariable logistic regression models. Our data highlight the problem of delayed treatment of tumor patients in the context of the COVID-19 pandemic. Identified risk factors for delayed treatment, such as poor general health or treatment in smaller hospitals, offer starting points for future concepts of "pandemic preparedness".<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
1432-1335
Volume :
149
Issue :
13
Database :
MEDLINE
Journal :
Journal of cancer research and clinical oncology
Publication Type :
Academic Journal
Accession number :
37414990
Full Text :
https://doi.org/10.1007/s00432-023-05062-w