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A new insight into fecal hemoglobin concentration-dependent predictor for colorectal neoplasia

机译:粪便血红蛋白浓度依赖性预测因子对结直肠瘤形成的新见解

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We sought to assess how much of the variation in incidence of colorectal neoplasia is explained by baseline fecal hemoglobin concentration (FHbC) and also to assess the additional predictive value of conventional risk factors. We enrolled subjects aged 40 years and over who attended screening for colorectal cancer with the fecal immunochemical test (FIT) in Keelung community-based integrated screening program. The accelerated failure time model was used to train the clinical weights of covariates in the prediction model. Datasets from two external communities were used for external validation. The area under curve (AUC) for the model containing only FHbC was 83.0% (95% CI: 81.5-84.4%), which was considerably greater than the one containing only conventional risk factors (65.8%, 95% CI: 64.2-67.4%). Adding conventional risk factors did not make significant additional contribution (p = 0.62, AUC = 83.5%, 95% CI: 82.1-84.9%) to the predictive model with FHbC only. Males showed a stronger linear dose-response relationship than females, yielding gender-specific FHbC predictive models. External validation confirms these results. The high predictive ability supported by a dose-dependent relationship between baseline FHbC and the risk of developing colorectal neoplasia suggests that FHbC may be useful for identifying cases requiring closer postdiagnosis clinical surveillance as well as being an early indicator of colorectal neoplasia risk in the general population. Our findings may also make contribution to the development of the FHbC-guided screening policy but its pros and cons in connection with cost and effectiveness of screening should be evaluated before it can be applied to population-based screening for colorectal cancer. What's new? Currently, the fecal immunochemical test is widely used for population screening for colorectal cancer. Could testing for a different protein improve predictive ability? In this paper, the authors evaluated the usefulness of quantifying fecal hemoglobin. They showed that the higher the concentration of fecal hemoglobin, the higher the risk of developing cancer. Thus, this test may help identify patients who need further interventions, if it proves cost-effective and practical to administer.
机译:我们试图评估基线粪便血红蛋白浓度(FHbC)可以解释结肠直肠肿瘤发生率的多少变化,并评估常规危险因素的其他预测价值。我们招募了40岁及40岁以上的受试者,他们在基隆社区综合筛查计划中通过粪便免疫化学测试(FIT)参加了大肠癌筛查。加速故障时间模型用于在预测模型中训练协变量的临床权重。来自两个外部社区的数据集用于外部验证。仅包含FHbC的模型的曲线下面积(AUC)为83.0%(95%CI:81.5-84.4%),远大于仅包含常规危险因素的模型(65.8%,95%CI:64.2-67.4) %)。仅添加FHbC的预测模型,添加常规风险因素并没有产生明显的额外贡献(p = 0.62,AUC = 83.5%,95%CI:82.1-84.9%)。男性表现出比女性更强的线性剂量反应关系,从而产生了针对性别的FHbC预测模型。外部验证确认了这些结果。基线FHbC与结直肠瘤形成风险之间的剂量依赖性关系支持了较高的预测能力,这表明FHbC可能有助于确定需要更密切诊断后临床监测的病例,并且是普通人群中结直肠瘤形成风险的早期指标。我们的发现可能也有助于FHbC指导的筛查政策的发展,但在将其应用于基于人群的大肠癌筛查之前,应评估其与筛查成本和有效性有关的利弊。什么是新的?目前,粪便免疫化学测试被广泛用于大肠癌的人群筛查。测试其他蛋白质可以提高预测能力吗?在本文中,作者评估了定量粪便血红蛋白的有用性。他们表明,粪便血红蛋白的浓度越高,患癌症的风险越高。因此,如果证明该试验具有成本效益和实用性,则可以帮助鉴定需要进一步干预的患者。

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