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

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...

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Main Authors: Pradeep S. Virdee, Ioana R. Marian, Anita Mansouri, Leena Elhussein, Shona Kirtley, Tim Holt, Jacqueline Birks
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/9/2348
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spelling doaj-d0e39430be2247ad867dcb2fe7794bcb2020-11-25T03:41:20ZengMDPI AGCancers2072-66942020-08-01122348234810.3390/cancers12092348The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical AppraisalPradeep S. Virdee0Ioana R. Marian1Anita Mansouri2Leena Elhussein3Shona Kirtley4Tim Holt5Jacqueline Birks6Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UKCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UKIntroduction: 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.https://www.mdpi.com/2072-6694/12/9/2348full blood countcomplete blood countblood testcolorectal cancerbowel cancersystematic
collection DOAJ
language English
format Article
sources DOAJ
author Pradeep S. Virdee
Ioana R. Marian
Anita Mansouri
Leena Elhussein
Shona Kirtley
Tim Holt
Jacqueline Birks
spellingShingle Pradeep S. Virdee
Ioana R. Marian
Anita Mansouri
Leena Elhussein
Shona Kirtley
Tim Holt
Jacqueline Birks
The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
Cancers
full blood count
complete blood count
blood test
colorectal cancer
bowel cancer
systematic
author_facet Pradeep S. Virdee
Ioana R. Marian
Anita Mansouri
Leena Elhussein
Shona Kirtley
Tim Holt
Jacqueline Birks
author_sort Pradeep S. Virdee
title The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title_short The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title_full The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title_fullStr The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title_full_unstemmed The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title_sort full blood count blood test for colorectal cancer detection: a systematic review, meta-analysis, and critical appraisal
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-08-01
description 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.
topic full blood count
complete blood count
blood test
colorectal cancer
bowel cancer
systematic
url https://www.mdpi.com/2072-6694/12/9/2348
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