60多年的口腔癌:临床病理学回顾性研究的多变量分析
Natália Batista Daroit1, Lucas Nunes Martins2, Alan Ballardin Garcia2
1Oral Pathology - School of Dentistry, Atitus Educação, Porto Alegre, Rio Grande do Sul, Brazil.
Brazilian dental journal
|December 22, 2023
概括
口腔状细胞癌 (OSCC) 发生率在60年内有所变化,年长的男性患病风险更高. 尽管OSCC患病率有时间变化,但关于年龄和性别的基本流行病学概况仍然是一致的.
科学领域:
- 口腔病理学 口腔病理学
- 流行病学 流行病学
- 在瘤学瘤学.
背景情况:
- 近几十年来,口腔癌患者人口统计数据发生了变化,特别是在性别和年龄方面.
- 了解这些流行病学变化对于公共卫生战略和早期检测口腔恶性病变至关重要.
研究的目的:
- 分析60年 (1953-2019) 间口腔恶性病变的流行情况.
- 为了确定与口腔状细胞癌 (OSCC) 发生相关的流行病学特征.
- 评估OSCC发生的时间趋势.
主要方法:
- 从巴西南部的口腔病理学实验室回顾了53065个组织病理学记录.
- 收集的数据包括年龄,性别,解剖部位,临床表现和组织病理学诊断.
- 用描述性,分析统计和多变量后勤回归来分析OSCC预测因素.
主要成果:
- 口腔恶性瘤占所有诊断的1.86% (986/53,065).
- OSCC的发生率波动,在20世纪90年代下降 (75.8%),并在2010年代上升 (88.7%).
- 年龄较大 (vs. <40岁) 和男性性别是OSCC的独立预测因素 (OR=0.30对女性而不是男性).
结论:
- 口腔恶性病变的发生率随着时间的推移而增加,OSCC的流行率显示时间变化.
- 老年人和男性始终表现出更高的OSCC的可能性,无论十年.
- 在分析期间,该研究没有观察到有关年龄和性别预测因素的流行病学概况的显著变化.
相关概念视频
01:21Cancer Survival Analysis
355
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
355
01:25Statistical Methods for Analyzing Epidemiological Data
371
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
371
01:20Comparing the Survival Analysis of Two or More Groups
195
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
195
02:07Tumor Progression
6.3K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K
01:18Introduction To Survival Analysis
243
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
243
01:11Observational Studies
8.6K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.6K