J Cancer 2024; 15(2):473-483. doi:10.7150/jca.87881 This issue Cite

Research Paper

Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database

Jing Zhao*, Ruiying Chen*, Yanli Zhang, Yu Wang, Haiyan Zhu

Department of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
* Jing Zhao and Ruiying Chen contributed equally to this work.

Citation:
Zhao J, Chen R, Zhang Y, Wang Y, Zhu H. Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. J Cancer 2024; 15(2):473-483. doi:10.7150/jca.87881. https://www.jcancer.org/v15p0473.htm
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Abstract

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Purpose: This study aimed to assess the impact of treatment delay on prognosis in patients with ovarian cancer.

Methods: A retrospective analysis of patients with ovarian cancer in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was performed. Chi-square tests were used to assess baseline differences. The Kaplan-Meier method was used to evaluate the effect of different treatment intervals on survival outcomes in patients. Cox regression analyses were used to identify independent factors associated with ovarian cancer prognosis.

Results: Of the 21,590 patients included, 15,675 (72.6%), 5,582 (25.9%), and 333 (1.54%) were classified into the immediate-treatment (<1 month after diagnosis), intermediate-delay (1-2 month delayed), and long-delay groups (≥3 months delayed), respectively. The 5-year probability of overall survival (OS) was 61.4% in the immediate-treatment group, decreasing to 36.4% and 34.8% in the intermediate- and long-delay groups, respectively. Similar survival differences were also reflected in cancer-specific survival (CSS), with 5-year CSS probabilities of 66.7%, 42.6%, and 41.8% in the aforementioned groups, respectively. Patients in the intermediate-delay group showed poorer OS (adjusted hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.02-1.11; p=0.006) and CSS (adjusted HR, 1.06; 95% CI, 1.01-1.11; p=0.012) than immediate-treatment group.

Conclusions: Patients with delayed treatment had poorer OS and CSS. The patient's waiting time from diagnosis to initial treatment should be within 1 month.

Keywords: Ovarian cancer, Treatment delay intervals, SEER, Prognosis, Retrospective


Citation styles

APA
Zhao, J., Chen, R., Zhang, Y., Wang, Y., Zhu, H. (2024). Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. Journal of Cancer, 15(2), 473-483. https://doi.org/10.7150/jca.87881.

ACS
Zhao, J.; Chen, R.; Zhang, Y.; Wang, Y.; Zhu, H. Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. J. Cancer 2024, 15 (2), 473-483. DOI: 10.7150/jca.87881.

NLM
Zhao J, Chen R, Zhang Y, Wang Y, Zhu H. Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. J Cancer 2024; 15(2):473-483. doi:10.7150/jca.87881. https://www.jcancer.org/v15p0473.htm

CSE
Zhao J, Chen R, Zhang Y, Wang Y, Zhu H. 2024. Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. J Cancer. 15(2):473-483.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
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