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Contemporary update of overall prognosis and nomogram to predict individualized survival for Chinese patients with eyelid sebaceous carcinoma

机译:当代总体预后和诺模图更新预测中国眼睑皮脂腺癌患者的个体化生存

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Background The prognosis of Chinese patients with eyelid sebaceous carcinoma (SC) has not been updated for >3 decades. The prognostic predictors are multifactorial, and there is no validated prognostic model for eyelid SC. Methods This study included 238 consecutive patients with eyelid SC. All eligible patients were followed up for metastasis and mortality. The predictors of tumor-related survival were explored by Cox analyses. A prognostic nomogram was developed and validated using bootstrap resampling. The predictive accuracy and discriminative ability were compared between the nomogram and the Tumor, Node, Metastasis (TNM) staging system. Findings After a median follow-up period of 55.5?months, 27 (11.3%) patients died of metastatic SC, with a median survival time of 48.0?months. The 5-year and 10-year tumor-related survival rates were 88.1% and 77.9%, respectively. Orbital involvement (HR: 3.11, p?=?.022), the greatest tumor basal diameter (HR: 1.06, p =?.003), the presence of pagetoid spread (HR: 2.90, p?=?.017), and having lymph node metastasis at initial diagnosis (HR: 13.66, p? Interpretation The prognosis of Chinese patients with eyelid SC has improved over the last 3 decades, and it is comparable to that of patients from other countries. This nomogram provides more accurate individualized estimates of survival for eyelid SC patients and may guide clinicians in their therapeutic decisions.
机译:背景中国眼睑皮脂腺癌(SC)患者的预后至今未超过3年。预后因素是多因素的,目前尚无经过验证的眼睑SC预后模型。方法该研究包括238名连续的眼睑SC患者。对所有符合条件的患者进行转移和死亡率随访。通过Cox分析探索了肿瘤相关生存的预测因子。使用引导程序重采样开发并验证了预后列线图。比较了诺模图和肿瘤,淋巴结转移(TNM)分期系统的预测准确性和判别能力。研究结果在中位随访55.5个月后,有27名(11.3%)患者死于转移性SC,中位生存时间为48.0个月。与肿瘤相关的5年和10年生存率分别为88.1%和77.9%。眼眶受累(HR:3.11,p?= ?. 022),最大肿瘤基底直径(HR:1.06,p = ?. 003),是否存在页面to状扩散(HR:2.90,p?= ?. 017),并且在初诊时有淋巴结转移(HR:13.66,p?解释)在过去的30年中,中国眼睑SC患者的预后有所改善,可与其他国家的患者相提并论。该诺模图提供了更准确的个体化评估眼睑SC患者的生存率,并可能指导临床医生做出治疗决策。

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