Suppr超能文献

卵巢癌筛查:现状与未来方向。

Ovarian cancer screening: Current status and future directions.

机构信息

EGA Institute for Women's Health, University College London, London, United Kingdom; MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, United Kingdom.

MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, United Kingdom.

出版信息

Best Pract Res Clin Obstet Gynaecol. 2020 May;65:32-45. doi: 10.1016/j.bpobgyn.2020.02.010. Epub 2020 Mar 3.

Abstract

Ovarian cancer is the third most common gynaecological malignancy and the most lethal worldwide. Most patients are diagnosed with advanced disease which carries significant mortality. Improvements in treatment have only resulted in modest increases in survival. This has driven efforts to reduce mortality through screening. Multimodal ovarian cancer screening using a longitudinal CA125 algorithm has resulted in diagnosis at an earlier stage, both in average and high risk women in two large UK trials. However, no randomised controlled trial has demonstrated a definitive mortality benefit. Extended follow up is underway in the largest trial to date, UKCTOCS, to explore the delayed reduction in mortality that was noted. Meanwhile, screening is not currently recommended in the general population Some countries offer surveillance of high risk women. Novel screening modalities and longitudinal biomarker algorithms offer potential improvements to future screening strategies as does the development of better risk stratification tools.

摘要

卵巢癌是第三大常见的妇科恶性肿瘤,也是全球范围内最致命的癌症。大多数患者被诊断为晚期疾病,死亡率很高。治疗的改善仅导致生存时间略有延长。这促使人们通过筛查来降低死亡率。使用纵向 CA125 算法的多模式卵巢癌筛查在两项英国大型试验中,无论是在平均风险还是高风险女性中,都使诊断提前到更早的阶段。然而,没有随机对照试验证明其具有明确的死亡率益处。迄今为止规模最大的 UKCTOCS 试验正在进行扩展随访,以探索已注意到的死亡率延迟降低。同时,目前不建议在普通人群中进行筛查。一些国家对高风险女性进行监测。新的筛查方式和纵向生物标志物算法为未来的筛查策略提供了潜在的改进,更好的风险分层工具的开发也是如此。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验