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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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Autores principales: Virdee, Pradeep S., Marian, Ioana R., Mansouri, Anita, Elhussein, Leena, Kirtley, Shona, Holt, Tim, Birks, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564785/
https://www.ncbi.nlm.nih.gov/pubmed/32825191
http://dx.doi.org/10.3390/cancers12092348
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author Virdee, Pradeep S.
Marian, Ioana R.
Mansouri, Anita
Elhussein, Leena
Kirtley, Shona
Holt, Tim
Birks, Jacqueline
author_facet Virdee, Pradeep S.
Marian, Ioana R.
Mansouri, Anita
Elhussein, Leena
Kirtley, Shona
Holt, Tim
Birks, Jacqueline
author_sort Virdee, Pradeep S.
collection PubMed
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.
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spelling pubmed-75647852020-10-26 The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal Virdee, Pradeep S. Marian, Ioana R. Mansouri, Anita Elhussein, Leena Kirtley, Shona Holt, Tim Birks, Jacqueline Cancers (Basel) Review 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. MDPI 2020-08-19 /pmc/articles/PMC7564785/ /pubmed/32825191 http://dx.doi.org/10.3390/cancers12092348 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Virdee, Pradeep S.
Marian, Ioana R.
Mansouri, Anita
Elhussein, Leena
Kirtley, Shona
Holt, Tim
Birks, Jacqueline
The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal
title 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_short 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
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564785/
https://www.ncbi.nlm.nih.gov/pubmed/32825191
http://dx.doi.org/10.3390/cancers12092348
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