Pham Bryan, Rhodes Helen, Milbourne Andrea, Adler-Storthz Karen, Follen Michele, Scheurer Michael E
Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Gend Med. 2012 Feb;9(1 Suppl):S36-47. doi: 10.1016/j.genm.2011.10.006.
We report here the logistic modeling of the epidemiologic differences between a diagnostic population and a screening population recruited for the study of optical technologies for cervical cancer detection.
The goal of this analysis was to determine if there were differences in the sociodemographic or clinical factors between subjects recruited to our diagnostic and screening trials.
Epidemiologic data were obtained from a risk factor interview as a component of a multicenter Phase II clinical trial that used fluorescence and reflectance point spectroscopy to diagnose cervical disease. Participants with recent or past abnormal findings on a Papanicolaou smear were grouped into the diagnostic (high-risk) population, whereas those with a history of normal findings on Papanicolaou smears and no cervical treatments were grouped into the screening (low-risk) population.
Our model revealed that nonwhite race, higher than a high school education, and peri- and postmenopausal status were associated with the screening population. A history of genital infections, current oral contraceptive use, human papillomavirus positivity (by Hybrid Capture II and consensus polymerase chain reaction), and worst histological diagnosis at clinic visit were important predictors of being in the diagnostic group.
We were successful in recruiting 2 distinctive populations and anticipate being able to use these results to more correctly classify women at higher risk for cervical lesions in our future studies of optical spectroscopy.
我们在此报告为研究用于宫颈癌检测的光学技术而招募的诊断人群和筛查人群之间流行病学差异的逻辑模型。
本分析的目的是确定参与我们诊断性试验和筛查性试验的受试者在社会人口统计学或临床因素方面是否存在差异。
流行病学数据来自危险因素访谈，该访谈是一项多中心II期临床试验的一部分，该试验使用荧光和反射点光谱法诊断宫颈疾病。巴氏涂片检查近期或过去有异常结果的参与者被归入诊断（高风险）人群，而巴氏涂片检查结果正常且未接受宫颈治疗的参与者被归入筛查（低风险）人群。
我们的模型显示，非白人种族、高中以上学历以及围绝经期和绝经后状态与筛查人群相关。生殖器感染史、当前口服避孕药的使用、人乳头瘤病毒阳性（通过杂交捕获II和一致性聚合酶链反应）以及就诊时最严重的组织学诊断是诊断组的重要预测因素。
我们成功招募了两个不同的人群，并预计能够利用这些结果在未来的光谱学研究中更准确地对宫颈癌病变高危女性进行分类。
