(2015). Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection. Asian Pacific Journal of Cancer Prevention, 16(9), 3773-3777.
. "Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection". Asian Pacific Journal of Cancer Prevention, 16, 9, 2015, 3773-3777.
(2015). 'Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection', Asian Pacific Journal of Cancer Prevention, 16(9), pp. 3773-3777.
Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection. Asian Pacific Journal of Cancer Prevention, 2015; 16(9): 3773-3777.
Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection
Background: This study aimed to establish a nomogram by combining clinicopathologic factors with overallsurvival of stage IA-IIB cervical cancer patients after complete resection with pelvic lymphadenectomy. Materialsand Methods: This nomogram was based on a retrospective study on 1,563 stage IA-IIB cervical cancer patientswho underwent complete resection and lymphadenectomy from 2002 to 2008. The nomogram was constructedbased on multivariate analysis using Cox proportional hazard regression. The accuracy and discriminative abilityof the nomogram were measured by concordance index (C-index) and calibration curve. Results: Multivariateanalysis identified lymph node metastasis (LNM), lymph-vascular space invasion (LVSI), stromal invasion,parametrial invasion, tumor diameter and histology as independent prognostic factors associated with cervicalcancer survival. These factors were selected for construction of the nomogram. The C-index of the nomogramwas 0.71 (95% CI, 0.65 to 0.77), and calibration of the nomogram showed good agreement between the 5-yearpredicted survival and the actual observation. Conclusions: We developed a nomogram predicting 5-year overallsurvival of surgically treated stage IA-IIB cervical cancer patients. More comprehensive information that isprovided by this nomogram could provide further insight into personalized therapy selection.
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