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The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review Meta-Analysis and Critical Appraisal

机译:整理癌症检测的全血计数血液试验:系统评价荟萃分析和批判性评估

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摘要

Introduction: A full blood count (FBC) blood test includes 20 components. We systematically reviewed studies that assessed the association of the FBC and diagnosis of colorectal cancer to identify components as risk factors. We reviewed FBC-based prediction models for colorectal cancer risk. Methods: MEDLINE, EMBASE, CINAHL, and Web of Science were searched until 3 September 2019. We meta-analysed the mean difference in FBC components between those with and without a diagnosis and critically appraised the development and validation of FBC-based prediction models. Results: We included 53 eligible articles. Three of four meta-analysed components showed an association with diagnosis. In the remaining 16 with insufficient data for meta-analysis, three were associated with colorectal cancer. Thirteen FBC-based models were developed. Model performance was commonly assessed using the c-statistic (range 0.72–0.91) and calibration plots. Some models appeared to work well for early detection but good performance may be driven by early events. Conclusion: Red blood cells, haemoglobin, mean corpuscular volume, red blood cell distribution width, white blood cell count, and platelets are associated with diagnosis and could be used for referral. Existing FBC-based prediction models might not perform as well as expected and need further critical testing.
机译:简介:全血计数(FBC)血液试验包括20个组分。我们系统地审查了评估FBC协会和结直肠癌的诊断的研究,以确定危险因素的组件。我们审查了基于FBC的预测模型,用于结肠直肠癌风险。方法:搜索MEDLINE,EMBASE,CINAHL和科学网站,直到2019年9月3日。我们分析了与诊断和诊断的人之间FBC组件的平均差异,并批判性地评估了基于FBC的预测模型的开发和验证。结果:我们包括53件符合条件的文章。四种间分析组分中的三种与诊断表现。在剩余的16中,具有荟萃分析数据不足,三种与结肠直肠癌有关。开发了三十型FBC的模型。通常使用C统计(范围0.72-0.91)和校准图来评估模型性能。有些型号似乎适用于早期检测,但早期事件可能会驱动良好的性能。结论:红细胞,血红蛋白,平均碎石体积,红细胞分布宽度,白细胞计数和血小板与诊断有关,可用于转诊。现有的基于FBC的预测模型可能无法执行以及预期的并且需要进一步的关键测试。

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