Graduate Program in Public Health, Health Sciences Center at the Federal University of Espírito Santo (UFES), Vitoria, ES, Brazil.
Medicine (Baltimore). 2023 Aug 4;102(31):e34369. doi: 10.1097/MD.0000000000034369.
Hospital Cancer Registries serve as a vital source of information for clinical and epidemiological research, allowing the evaluation of patient care outcomes through therapeutic protocol analysis and patient survival assessment. This study aims to assess the trend of incompleteness in the epidemiological variables within the Hospital Cancer Registry of a renowned oncology center in a Brazilian state. An ecological time-series study was conducted using secondary data from the Hospital Santa Rita de Cássia Cancer Registry in Espírito Santo between 2000 and 2016. Data completeness was categorized as follows: excellent (<5%), good (5%-10%), fair (10%-20%), poor (20%-50%), and very poor (>50%), based on the percentage of missing information. Descriptive and bivariate statistical analyses were performed using the free software RStudio (version 2022.07.2) and R (version 4.1.0). The Mann-Kendall test was used to assess temporal trends between the evaluated years, and the Friedman test was employed to evaluate quality scores across the years. Among the variables assessed, birthplace, race/color, education, occupation, origin, marital status, history of alcohol and tobacco consumption, previous diagnosis and treatment, the most important basis for tumor diagnosis, tumor-node-metastasis staging (TNM) staging, and clinical tumor staging by group (TNM) showed the highest levels of incompleteness. Conversely, other epidemiological variables demonstrated excellent completeness, reaching 100% throughout the study period. Significant trends were observed over the years for history of alcohol consumption (P < .001), history of tobacco consumption (P < .001), TNM staging (P = .016), clinical tumor staging by group (TNM) (P = .002), first treatment received at the hospital (P = .012), disease status at the end of the first treatment at the hospital (P < .001), and family history of cancer (P < .001), and tumor laterality (P = .032). While most epidemiological variables within the Hospital Santa Rita de Cássia Cancer Registry exhibited excellent completeness, some important variables, such as TNM staging and clinical staging, showed high levels of incompleteness. Ensuring high-quality data within Cancer Registries is crucial for a comprehensive understanding of the health-disease process.
医院癌症登记处是临床和流行病学研究的重要信息来源，通过治疗方案分析和患者生存评估，可以评估患者治疗结果。本研究旨在评估巴西一著名肿瘤中心医院癌症登记处的流行病学变量不完整的趋势。采用生态时间序列研究，使用 2000 年至 2016 年 Espírito Santo 州圣丽塔德卡西亚癌症登记处的二级数据。数据完整性根据缺失信息的百分比分为以下几类：优秀（<5%）、良好（5%-10%）、中等（10%-20%）、较差（20%-50%）和很差（>50%）。使用免费软件 RStudio（版本 2022.07.2）和 R（版本 4.1.0）进行描述性和双变量统计分析。Mann-Kendall 检验用于评估评估年份之间的时间趋势，Friedman 检验用于评估各年份的质量评分。在所评估的变量中，出生地、种族/肤色、教育程度、职业、起源、婚姻状况、酒精和烟草消费史、以前的诊断和治疗、肿瘤诊断的最重要依据、肿瘤-淋巴结-转移分期（TNM）分期和临床肿瘤分组（TNM）分期显示出最高水平的不完整性。相反，其他流行病学变量表现出极好的完整性，在整个研究期间达到 100%。多年来，酒精消费史（P <.001）、烟草消费史（P <.001）、TNM 分期（P =.016）、临床肿瘤分组（TNM）分期（P =.002）、医院首次治疗（P =.012）、医院首次治疗结束时的疾病状态（P <.001）、癌症家族史（P <.001）和肿瘤侧位（P =.032）均呈现显著趋势。尽管圣丽塔德卡西亚癌症登记处的大多数流行病学变量完整性极好，但 TNM 分期和临床分期等一些重要变量显示出高度不完整性。确保癌症登记处高质量的数据对于全面了解健康疾病过程至关重要。
