口腔癌发病率和生存趋势:一项基于人口的研究。

Nitin M Gangane, Pravinkumar V Ghongade, Bharat U Patil, Manisha Atram
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引用次数: 0

摘要

导言:本研究旨在计算口腔癌(OCC)的负担,包括发病率、死亡率、存活率以及临床病理学、人口统计学结果和治疗方式等预测因素的影响:这项回顾性研究的数据来自 2010 年至 2016 年印度的人口癌症登记处(PBCR)。共记录了1051例OCC病例。计算了发病率和死亡率。累积生存率采用卡普兰-梅耶(KM)法计算。预后因素采用 Cox 比例危险回归模型进行估计:结果:OCC病例的年龄标准化发病率(ASR)和死亡率(ASMR)分别为每10万人中10.1例和8.4例。五年总生存率(OS)为 32.3%。存活率与治疗方法(Chi-square 值 = 58.17,P = 0.0001)和解剖部位(Chi-square 值 = 26.70,P = 0.0001)明显相关。17.6%的 50 岁男性病例的 HR 为 2.065(95% CI 1.34-3.18,P = 0.001)。联合治疗的 HR 为 2.630(95% CI 1.91-3.63,P 值 0.000)。扁桃体癌(C09)(95% CI 1.04-3.12)的死亡几率是唇癌(C00)的 1.8 倍:结论:OCC病例在年轻人群中呈上升趋势,总体而言,病例死亡率较高,生存率较低。年龄大于 50 岁、单一治疗方式、肺泡和扁桃体恶性肿瘤等预后因素与生存率低有关。由训练有素的医疗专业人员进行 OCC 强化筛查可提高早期发现率,增强人们对该疾病的认识,降低死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Oral cavity cancer incidence and survival trends: A population-based study.

Introduction: The present study aimed to calculate the burden of oral cavity cancer (OCC) including incidence, mortality rate, survival rate, and influence of predictive factors such as clinicopathological, demographic findings, and treatment modalities.

Materials and methods: Data in this retrospective study were collected from India's population-based cancer registry (PBCR) from 2010 to 2016. A total of 1051 cases of OCC were noted. Incidence and mortality rates were calculated. The cumulative survival outcome was calculated using Kaplan-Meier (KM) method. Prognostic factors were estimated using the Cox proportional hazard regression model.

Results: The age-standardized incidence rates (ASR), and mortality rate (ASMR), of overall OCC cases were 10.1 and 8.4 per 100 thousand population, respectively. Five-year overall survival (OS) was 32.3%. Survival outcome was significantly associated with the given treatment (Chi-square value = 58.17, P = 0.0001) and anatomical site (Chi-square value = 26.70, P = 0.0001). 17.6% of cases in males were <39-year age group. The hazard ratio (HR) in the age group of >50 years was 2.065 (95% CI 1.34-3.18, P = 0.001). Combination therapy had an HR of 2.630 (95% CI 1.91-3.63, P value 0.000). Tonsillar carcinoma (C09) (95% CI 1.04-3.12) had 1.8 times more chances of death than lip carcinoma (C00).

Conclusion: OCC cases are increasing in the younger population, and overall, cases show higher mortality rates with reduced survival outcomes. Prognostic factors such as age >50 years, single modality treatment, and alveolar and tonsillar malignancy are associated with poor survival. OCC robust screening by a trained health professional can improve early detection and increases awareness and lower mortality of the disease.

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