Mesh : Humans Lung Neoplasms / epidemiology pathology Registries Female Male Aged Middle Aged Clinical Coding / standards Reproducibility of Results Hungary / epidemiology Adult

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Abstract:
The quality of input data determines the reliability of epidemiological assessments. Thus, the verification of cases reported to the National Cancer Registry is required. The objective of our study was evaluating the reliability of cases diagnosed by lung cancer, exploring the patterns of erroneous reports. The validation of the 11,750 lung cancer cases reported to the Cancer Registry in 2018 was performed with the involvement of the recording hospitals, analyzing the characteristics of reports by gender, age and attributes of the reporting institutions. 81.3 percent of the reported cases was confirmed, in 40.4 percent of the false reports, malignancy was not present at all. Among the erroneous cases women and the elderly age group were overrepresented. The highest deleted rate occurred in Borsod- Abaúj-Zemplén county. As a conclusion, there is a strong need for the improvement of the efficiency in encoding lung cancer. The most common errors: confusion of malignant-benign, cancerous-non-cancerous and primary-metastatic lesions. The reliability is not affected by the role of individual institutions in the hierarchy of health care. The availability of reliable epidemiological data is crucial in the fight against cancer, which requires broad professional cooperation.
摘要:
输入数据的质量决定了流行病学评估的可靠性。因此,需要对国家癌症登记处报告的病例进行核实.我们研究的目的是评估肺癌诊断病例的可靠性,探索错误报告的模式。2018年向癌症登记处报告的11,750例肺癌病例的验证是在记录医院的参与下进行的。按性别分析报告的特点,报告机构的年龄和属性。81.3%的报告病例得到确认,在40.4%的虚假报道中,恶性肿瘤根本不存在.在错误的案件中,妇女和老年年龄组的比例过高。删除率最高的是Borso-Abaúj-Zpleén县。作为结论,强烈需要提高肺癌的编码效率。最常见的错误:恶性-良性混淆,癌性-非癌性和原发性转移性病变。可靠性不受各个机构在医疗保健等级中的作用的影响。可靠的流行病学数据的可用性对于抗击癌症至关重要,这需要广泛的专业合作。
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