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用于检测结直肠癌的全血细胞计数血液检测:系统评价、荟萃分析与批判性评估

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

作者信息

Virdee Pradeep S, Marian Ioana R, Mansouri Anita, Elhussein Leena, Kirtley Shona, Holt Tim, Birks Jacqueline

机构信息

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

出版信息

Cancers (Basel). 2020 Aug 19;12(9):2348. doi: 10.3390/cancers12092348.

Abstract

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.

摘要

引言

全血细胞计数(FBC)血液检查包含20项指标。我们系统回顾了评估FBC与结直肠癌诊断之间关联的研究,以确定作为风险因素的指标。我们还回顾了基于FBC的结直肠癌风险预测模型。

方法

检索MEDLINE、EMBASE、CINAHL和Web of Science数据库至2019年9月3日。我们对已确诊和未确诊患者的FBC指标均值差异进行了荟萃分析,并严格评估了基于FBC的预测模型的开发与验证情况。

结果

我们纳入了53篇符合条件的文章。在荟萃分析的四项指标中,有三项显示与诊断相关。在其余16项因数据不足无法进行荟萃分析的指标中,有三项与结直肠癌相关。共开发了13个基于FBC的模型。模型性能通常使用c统计量(范围为0.72 - 0.91)和校准图进行评估。一些模型似乎在早期检测方面表现良好,但良好的性能可能是由早期事件驱动的。

结论

红细胞、血红蛋白、平均红细胞体积、红细胞分布宽度、白细胞计数和血小板与诊断相关,可用于转诊。现有的基于FBC的预测模型可能表现不如预期,需要进一步严格测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f67a/7564785/d216ea679f9c/cancers-12-02348-g001.jpg

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