Department of Surgery, Saint Louis University Medical Center, 3635 Vista Avenue, P.O. Box 15250, St. Louis, MO 63110-0250, USA.
Int J Oncol. 2011 Jan;38(1):233-9.
About 1% of all cancers are soft tissue sarcomas (STS); about 60% of these occur in the extremities. Post-treatment surveillance programs are designed to identify recurrence, new primary cancers, and complications of therapy early enough to increase survival duration and quality of life. The intensity of surveillance varies among surgeons. We hypothesized that geographic factors would account for much of this variation. The 1,592 members of the Society of Surgical Oncology were surveyed regarding their personal postoperative STS surveillance strategy using standardized clinical vignettes and a questionnaire based on the vignettes. Practice patterns were analyzed by US Census Region, Metropolitan Statistical Area (MSA), and managed care organization (MCO) penetration rate, using repeated measures analysis of variance. The study end-point was surveillance intensity. Mean follow-up intensity for the 12 surveillance modalities on the questionnaire was highly correlated with tumor size, grade, and year post surgery. Controlling for tumor stage, grade, and year post surgery, the practice location of the surgeon infrequently impacted surveillance intensity. MSA was a significant (p<0.05) predictor only of office visit frequency. MCO penetration rate significantly predicted only the frequency of urinalysis and tumor-site MRI. US Census Region significantly predicted only the frequency of LFTs. Geographic factors do not generally predict self-reported surveillance practice patterns for patients after curative-intent STS surgery. The overall variation in follow-up intensity appears to reflect factors not evaluated, such as the absence of high-quality evidence supporting any particular strategy and the quality of patients' insurance.
约 1%的癌症为软组织肉瘤(STS);其中约 60%发生于四肢。治疗后监测方案旨在尽早发现复发、新发原发性癌症和治疗并发症,以延长生存时间和提高生活质量。监测的强度因外科医生而异。我们假设地理因素在很大程度上导致了这种差异。对 1592 名外科肿瘤学会成员使用标准化临床病例和基于该病例的问卷就其个人术后 STS 监测策略进行了调查。采用方差分析的重复测量法,按美国人口普查区域、大都市统计区(MSA)和管理式医疗组织(MCO)渗透率分析实践模式。研究终点为监测强度。问卷中 12 种监测方法的平均随访强度与肿瘤大小、分级和术后时间高度相关。在控制肿瘤分期、分级和术后时间后,外科医生的执业地点很少影响监测强度。MSA 仅对就诊频率有显著影响(p<0.05)。MCO 渗透率仅显著预测尿液分析和肿瘤部位 MRI 的频率。美国人口普查区域仅显著预测 LFT 的频率。一般来说,地理因素并不能预测有治愈意图的 STS 手术后患者的自我报告监测实践模式。随访强度的总体差异似乎反映了未评估的因素,例如缺乏支持任何特定策略的高质量证据以及患者保险的质量。