Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework.

IF 9.9 1区 医学 Q1 ONCOLOGY JNCI Journal of the National Cancer Institute Pub Date : 2024-11-01 DOI:10.1093/jnci/djae145
Sayaka Ishizawa, Jiangong Niu, Martin C Tammemagi, Ehsan Irajizad, Yu Shen, Karen H Lu, Larissa A Meyer, Iakovos Toumazis
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Abstract

Background: Ovarian cancer is among the leading causes of gynecologic cancer-related death. Past ovarian cancer screening trials using combination of cancer antigen 125 testing and transvaginal ultrasound failed to yield statistically significant mortality reduction. Estimates of ovarian cancer sojourn time-that is, the period from when the cancer is first screen detectable until clinical detection-may inform future screening programs.

Methods: We modeled ovarian cancer progression as a continuous time Markov chain and estimated screening modality-specific sojourn time and sensitivity using a Bayesian approach. Model inputs were derived from the screening arms (multimodal and ultrasound) of the UK Collaborative Trial of Ovarian Cancer Screening and the Prostate, Lung, Colorectal and Ovarian cancer screening trials. We assessed the quality of our estimates by using the posterior predictive P value. We derived histology-specific sojourn times by adjusting the overall sojourn time based on the corresponding histology-specific survival from the Surveillance, Epidemiology, and End Results Program.

Results: The overall ovarian cancer sojourn time was 2.1 years (posterior predictive P value = .469) in the Prostate, Lung, Colorectal and Ovarian studies, with 65.7% screening sensitivity. The sojourn time was 2.0 years (posterior predictive P value = .532) in the United Kingdom Collaborative Trial of Ovarian Cancer Screening's multimodal screening arm and 2.4 years (posterior predictive P value = .640) in the ultrasound screening arm, with sensitivities of 93.2% and 64.5%, respectively. Stage-specific screening sensitivities in the Prostate, Lung, Colorectal and Ovarian studies were 39.1% and 82.9% for early-stage and advanced-stage disease, respectively. The histology-specific sojourn times ranged from 0.8 to 1.8 years for type II ovarian cancer and 2.9 to 6.6 years for type I ovarian cancer.

Conclusions: Annual screening is not effective for all ovarian cancer subtypes. Screening sensitivity for early-stage ovarian cancers is not sufficient for substantial mortality reduction.

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利用贝叶斯框架估算卵巢癌筛查的停留时间和敏感性。
背景:卵巢癌是妇科癌症相关死亡的主要原因之一。过去采用癌抗原 125 检测和经阴道超声相结合的卵巢癌筛查试验未能在统计学上显著降低死亡率。估计卵巢癌的存活时间,即从首次筛查出癌症到临床检测出癌症的这段时间,可以为未来的筛查计划提供参考:方法:我们将卵巢癌的进展过程模拟为连续时间马尔可夫链,并采用贝叶斯方法估算了筛查模式的特定停留时间和敏感性。模型输入来自英国卵巢癌筛查合作试验和前列腺癌、肺癌、结直肠癌和卵巢癌筛查试验的筛查臂(多模态和超声)。我们使用后验预测 P 值评估了估计值的质量。我们根据 "监测、流行病学和最终结果计划 "中相应的组织学特异性存活率调整了总体存活时间,从而得出了组织学特异性存活时间:在前列腺癌、肺癌、结直肠癌和卵巢癌研究中,卵巢癌的总体存活时间为 2.1 年(后位预测 P 值 = .469),筛查灵敏度为 65.7%。英国卵巢癌筛查合作试验的多模式筛查组的停留时间为 2.0 年(后验预测 P 值 = 0.532),超声筛查组的停留时间为 2.4 年(后验预测 P 值 = 0.640),筛查灵敏度分别为 93.2% 和 64.5%。在前列腺癌、肺癌、结直肠癌和卵巢癌研究中,早期和晚期疾病的特异性筛查敏感性分别为 39.1%和 82.9%。II型卵巢癌的组织学特异性停留时间为0.8至1.8年,I型卵巢癌的组织学特异性停留时间为2.9至6.6年:结论:年度筛查并非对所有卵巢癌亚型都有效。对早期卵巢癌的筛查敏感性不足以大幅降低死亡率。
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来源期刊
CiteScore
17.00
自引率
2.90%
发文量
203
审稿时长
4-8 weeks
期刊介绍: The Journal of the National Cancer Institute is a reputable publication that undergoes a peer-review process. It is available in both print (ISSN: 0027-8874) and online (ISSN: 1460-2105) formats, with 12 issues released annually. The journal's primary aim is to disseminate innovative and important discoveries in the field of cancer research, with specific emphasis on clinical, epidemiologic, behavioral, and health outcomes studies. Authors are encouraged to submit reviews, minireviews, and commentaries. The journal ensures that submitted manuscripts undergo a rigorous and expedited review to publish scientifically and medically significant findings in a timely manner.
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