Predicting the risk of the distant recurrence of cervical cancer after concurrent chemoradiation: A validation study of the Korean Gynecologic Oncologic Group (KGOG)-1024 model
Autor: | Wonkyo Shin, Joo Young Kim, Sang Yoon Park, Sang-Soo Seo, Sokbom Kang, Myong Cheol Lim |
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Rok vydání: | 2022 |
Předmět: |
Adult
Oncology medicine.medical_specialty Uterine Cervical Neoplasms Disease-Free Survival Cohort Studies Young Adult Risk Factors Internal medicine Republic of Korea medicine Electronic Health Records Humans Cumulative incidence Aged Neoplasm Staging Retrospective Studies Aged 80 and over Cervical cancer business.industry Distant recurrence Obstetrics and Gynecology Retrospective cohort study Chemoradiotherapy Middle Aged medicine.disease Clinical trial Cohort Carcinoma Squamous Cell Population study Female Neoplasm Recurrence Local business Risk assessment |
Zdroj: | Gynecologic Oncology. 164:62-67 |
ISSN: | 0090-8258 |
Popis: | Background This study aimed to validate the performance of the Korean Gynecologic Oncologic Group (KGOG)-1024 risk model in predicting the risk of distant failure after chemoradiation in patients with locally advanced cervical cancer (LACC). Methods In a retrospective cohort of 297 patients who received concurrent chemoradiation for advanced cervical cancer, individual risk was calculated using the KGOG-1024 risk model. The cohort was categorized into three risk groups (low-, intermediate-, and high-risk groups) according to the calculated risk. The means of the calculated and observed risks were compared within each group. Results The study population was classified into low-, intermediate-, and high-risk groups according to the KGOG-1024 risk model (27.2%, 49.3%, and 23.5% of patients, respectively). The calculated and observed 5-year cumulative incidence rates were 12.4% vs. 16.4% in the low-risk group, 23.2% vs. 25.9% in the intermediate-risk group, and 50.7% vs. 36.3% in the high-risk group. Overall, the calculated and observed risk was 26.7% vs. 25.6%. Conclusions The KGOG-1024 risk assessment model accurately predicted distant recurrence after chemoradiation in patients with LACC, especially in the low- and intermediate-risk groups. The model may be helpful for identifying patients for future trials assessing the possible benefit of adjuvant systemic treatment after chemoradiation. |
Databáze: | OpenAIRE |
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