Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening.

IF 2.7 4区 医学 Q3 ONCOLOGY
Technology in Cancer Research & Treatment Pub Date : 2025-01-01 Epub Date: 2025-03-20 DOI:10.1177/15330338241312573
Hangjing Gao, Guanxiang Huang, Binhua Dong, Ye Li, Hongning Cai, Xianqian Chen, Tingting Jiang, Kelvin Stefan Osafo, Dabin Liu, Jiancui Chen, Huihua Ge, Diling Pan, Huifeng Xue, Pengming Sun
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引用次数: 0

Abstract

IntroductionThe utility and application of endocervical curettage (ECC) during colposcopy remain controversial. This study optimized ECC application for primary human papillomavirus (HPV) screening in patients with high-risk (HR)-HPV.MethodsThis retrospective study included patients with HR-HPV, who underwent subsequent cervical biopsy and ECC from January 1, 2014, to December 31, 2020. Logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs). The prediction model was presented as a nomogram and evaluated for discrimination and calibration.ResultsThe additional detection rate of cervical intraepithelial neoplasia 2 + lesions with ECC was 2.0% (77/3887) in patients with HR-HPV. In multivariate risk factor analysis, HPV 16 infection presented a high risk of positive ECC, followed by HPV 33, HPV 58, and HPV 31. Irrespective of the abnormal cytopathological results, positive ECC was significantly increased (all P < .001). Females with acetowhite changes on colposcopy, transformation zone (TZ) type II, TZ type III, colposcopic impression of high-grade squamous intraepithelial lesion, or cancer were at a high risk of positive ECC. The final prediction model included significant variables from risk factor analysis, and had excellent calibration and classification capabilities, with an area under the receiver operating curve of 0.902 (95% CI, 0.881-0.922). Additionally, calibration analysis suggested consistency.ConclusionAs the additional detection value of ECC is limited. A satisfactory prediction model was designed to optimize ECC application in patients with HR-HPV infection.

宫颈内膜刮除阳性的危险因素及基于原发性人乳头瘤病毒筛查的预测模型构建。
阴道镜检查中宫颈内膜刮除术(ECC)的实用性和应用仍存在争议。本研究优化了ECC在高危型人乳头瘤病毒(HR)-HPV患者原发性人乳头瘤病毒(HPV)筛查中的应用。方法回顾性研究纳入2014年1月1日至2020年12月31日期间接受宫颈活检和ECC的HR-HPV患者。采用Logistic回归计算优势比(ORs)和95%置信区间(ci)。预测模型以模态图的形式呈现,并进行了判别和校准评估。结果HR-HPV患者宫颈上皮内瘤变2 +病变伴ECC的附加检出率为2.0%(77/3887)。在多因素分析中,HPV 16感染出现ECC阳性的风险最高,其次是HPV 33、HPV 58和HPV 31。无论异常的细胞病理学结果如何,阳性ECC均显著增加(P
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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