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Present evidence on the value of HPV testing for cervical cancer screening: a model-based exploration of the (cost-)effectiveness.

机译:目前有关HPV检测对宫颈癌筛查的价值的证据:(成本)效果的基于模型的探索。

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摘要

Human papillomavirus (HPV) is the main risk factor for invasive cervical cancer. High risk ratios are found in cross-sectional data on HPV prevalence. The question raised is whether this present evidence is sufficient for making firm recommendations on HPV screening. A validated cervical cancer screening model was extended by adding HPV infection as a possible precursor of cervical intraepithelial neoplasia (CIN). Two widely different model quantifications were constructed so that both were compatible with the observed HPV risk ratios. One model assumed a much longer duration of HPV infection before progressing to CIN and a higher sensitivity of the HPV test than the other. In one version of the model, the calculated mortality reduction from HPV screening was higher and the (cost-)effectiveness was much better than for Pap smear screening. In the other version, outcomes were the opposite, although the cost-effectiveness of the combined HPV + cytology test was close to that of Pap smear screening. Although small follow-up studies and studies with limited strength of design suggest that HPV testing may well improve cervical cancer screening, only large longitudinal screening studies on the association between HPV infection and the development of neoplasias can give outcomes that would enable a firm conclusion to be made on the (cost-)effectiveness of HPV screening. Prospective studies should address women aged 30-60 years.
机译:人乳头瘤病毒(HPV)是浸润性宫颈癌的主要危险因素。在有关HPV患病率的横断面数据中发现高风险比率。提出的问题是,目前的证据是否足以对HPV筛查提出坚定的建议。通过添加HPV感染作为宫颈上皮内瘤变(CIN)的可能前体,扩展了经过验证的宫颈癌筛查模型。构建了两种截然不同的模型定量,以使二者均与观察到的HPV风险比兼容。一种模型认为,在发展为CIN之前,HPV感染的持续时间要长得多,而HPV检测的灵敏度要高于另一种模型。在该模型的一个版本中,与通过子宫颈抹片检查相比,通过HPV筛查计算出的死亡率降低要高得多,并且(成本)效果要好得多。在另一个版本中,结果是相反的,尽管组合的HPV +细胞学检查的成本效益接近巴氏涂片筛查的成本效益。尽管较小的随访研究和设计强度有限的研究表明,HPV检测可以很好地改善子宫颈癌的筛查,但是只有有关HPV感染与瘤形成发展之间关系的大型纵向筛查研究才能得出可以得出肯定结论的结果。 HPV筛查的(成本)有效性。前瞻性研究应针对30-60岁的女性。

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