Department of Health Medicine, General Hospital of Northern Theater Command, Shenyang, China.
China Medical University, Shenyang, China.
Front Public Health. 2022 Jun 20;10:920956. doi: 10.3389/fpubh.2022.920956. eCollection 2022.
To explore the utility of the scoring system for screening and early warning of cervical cancer based on big data analysis.
A total of 420 women undergoing physical examination in Shenyang from January 2021 to January 2022 were screened by convenient sampling as the study subjects. All females accepted the human papilloma virus (HPV) tests and thin-prep cytology test (TCT), a Rating Questionnaire for Screening and Early Warning of Cervical Cancer was developed, and a warning threshold was derived according to the scores of the questionnaire and the goodness of fit for the results of HPV+TCT tests. The patients were graded according to the threshold, and corresponding intervention strategies for patients of different grades were developed.
Among the 420 people undergoing physical examination, 92 (21.90%) obtained scores ≥8 points, and 328 (78.10%) obtained scores < 8 points; in diagnosing cervical cancer, the Rating Questionnaire for Screening and Early Warning of Cervical Cancer had an AUC value of 0.848, specificity of 97.22%, and sensitivity of 86.46%; after scientific intervention, HPV test results showed a significant decrease in both high-risk positive cases and low-risk positive cases ( < 0.05), and TCT results showed that there was a significant difference in the number of patients with CIN I before and after intervention ( < 0.05).
The scoring system for screening and early warning of cervical cancer based on big data analysis presents certain clinical value in the clinical screening of cervical cancer, which can further improve the screening coverage, is of great significance for the diagnosis and treatment of disease, and helps physician implement hierarchical diagnosis and treatment quickly and precisely.
探讨基于大数据分析的宫颈癌筛查和预警评分系统的应用价值。
采用便利抽样法，选取 2021 年 1 月至 2022 年 1 月在沈阳进行体检的 420 名女性作为研究对象。所有女性均接受人乳头瘤病毒（HPV）检测和液基薄层细胞学检测（TCT），并制定宫颈癌筛查和预警评分问卷，根据问卷得分和 HPV+TCT 检测结果拟合优度得出预警阈值，根据阈值对患者进行分级，并制定不同等级患者的相应干预策略。
在 420 名接受体检的人群中，92 人（21.90%）获得的评分≥8 分，328 人（78.10%）获得的评分<8 分；在诊断宫颈癌方面，宫颈癌筛查和预警评分问卷的 AUC 值为 0.848，特异度为 97.22%，灵敏度为 86.46%；经过科学干预后，HPV 检测结果高危阳性和低危阳性病例均显著减少（<0.05），TCT 结果显示干预前后 CIN I 患者数量差异有统计学意义（<0.05）。
基于大数据分析的宫颈癌筛查和预警评分系统在宫颈癌的临床筛查中具有一定的临床价值，可进一步提高筛查覆盖率，对疾病的诊断和治疗具有重要意义，有助于医生快速、准确地实施分层诊断和治疗。
