Faculty of Medicine and Health Sciences, Department of Social Epidemiology and Health Policy (SEHPO), University of Antwerp, Belgium.
Faculty of Medicine and Health Sciences, Department of Social Epidemiology and Health Policy (SEHPO), University of Antwerp, Belgium; Centre for Cancer Detection, Bruges, Antwerp, Belgium.
Prev Med. 2019 Sep;126:105746. doi: 10.1016/j.ypmed.2019.06.004. Epub 2019 Jun 4.
With increasing incidence and mortality, colorectal cancer (CRC) is a growing health problem worldwide. An effective way to address CRC is by screening for fecal (occult) blood by the fecal immunochemical test (FIT). However, there is room for improvement since precursor lesions and CRC bleed intermittent and can therefore be missed by the FIT (false negatives) or, the detected blood did not result from precursor lesions or CRC (false positives). This review provides the latest evidence on risk prediction models using FIT combined with additional risk factors before colonoscopy, which risk factors to include and if these models will better discriminate between normal findings and CRC compared to the FIT-only. Many prediction models are known for CRC, but compared to the FIT, these are less effective in detecting CRC. The literature search resulted in 645 titles where 11 papers matched the inclusion criteria and were analyzed. Comparing the FIT-only with the risk prediction models for detecting CRC resulted in a significantly increased discrimination for the models. In addition, 2 different risk-stratification categories before colonoscopy were distinguished, namely the 1-model approach which combined risk factors with FIT results in a prediction model while the 2 step approach used risk factors apart from the FIT. Finally, combining FIT with CRC risk factors by means of a model before colonoscopy seems effective regarding discriminative power, however, more research is needed for validation combined with transparent and standardized reporting to improve quality assessment, for which suggestions are reported in this study.
随着发病率和死亡率的上升,结直肠癌(CRC)是全球日益严重的健康问题。通过粪便免疫化学检测(FIT)筛查粪便(隐血)是解决 CRC 的有效方法。然而,仍有改进的空间,因为前体病变和 CRC 出血是间歇性的,因此可能会被 FIT(假阴性)漏诊,或者检测到的血液不是来自前体病变或 CRC(假阳性)。这篇综述提供了使用 FIT 结合结肠镜检查前的其他危险因素进行风险预测模型的最新证据,包括哪些危险因素,以及这些模型是否比仅使用 FIT 更能区分正常发现和 CRC。有许多针对 CRC 的预测模型,但与 FIT 相比,这些模型在检测 CRC 方面的效果较差。文献检索产生了 645 个标题,其中 11 篇论文符合纳入标准并进行了分析。将仅使用 FIT 与用于检测 CRC 的风险预测模型进行比较,结果表明模型的区分度显著提高。此外,还区分了结肠镜检查前的 2 种不同的风险分层类别,即 1 种模型方法,即将危险因素与 FIT 结果相结合以建立预测模型,而 2 步方法则将危险因素与 FIT 分开使用。最后,在结肠镜检查前通过模型将 FIT 与 CRC 危险因素相结合似乎在判别能力方面是有效的,但是,还需要更多的研究来验证,同时需要透明和标准化的报告来提高质量评估,本研究报告了相关建议。