巴西高复杂性癌症注册表中的流行病学变量的不完整性趋势:生态时间序列研究研究
Wesley Rocha Grippa1, Larissa Soares Dell'Antonio, Luciane Bresciani Salaroli
1Graduate Program in Public Health, Health Sciences Center at the Federal University of Espírito Santo (UFES), Vitoria, ES, Brazil.
Medicine
|August 6, 2023
概括
医院癌症登记册对于研究至关重要,但数据的完整性各不相同. 这项研究发现,虽然一些变量是完整的,但关键的分期信息,如TNM经常缺失,影响癌症研究质量.
科学领域:
- 在瘤学瘤学.
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 医院癌症注册表对于临床和流行病学研究至关重要.
- 它们可以评估患者护理结果,治疗疗效和生存率.
- 登记册中的数据质量对于可靠的研究结果至关重要.
研究的目的:
- 为了评估巴西医院癌症注册表中流行病学变量的完整性趋势.
- 识别具有高水平缺失信息的特定变量.
- 在17年的时间内评估数据完整性的时间变化.
主要方法:
- 生态时间序列研究使用来自巴西瘤中心癌症注册表 (2000-2016) 的二次数据.
- 数据的完整性根据缺失信息的百分比进行了分类.
- 统计分析包括使用RStudio和R.R.的描述性,双变量,曼-肯达尔和弗里德曼测试.
主要成果:
- 大多数流行病学变量表现出极好的完整性 (>90%).
- 然而,诸如出生地,种族/肤色,教育,职业,出身,婚姻状况,酒精/烟草病史,瘤阶段 (TNM) 和诊断基础等变量显示出高不完整性.
- 对酒精消费,烟草消费,TNM分期,临床分期,初始治疗,治疗后的疾病状况,家族癌症史和瘤横向性观察到完整性的显著时间趋势.
结论:
- 虽然癌症注册表的整体数据完整性很好,但TNM分期和临床分期等关键变量需要改进.
- 解决关键流行病学变量数据缺口对于提高癌症研究质量至关重要.
- 在癌症登记册中保持高质量的数据对于了解健康疾病过程和改善患者护理至关重要.
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