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Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis
The purpose of this meta-analysis was to assess the usefulness of volatile organic compounds (VOC) as a potential novel biomarker for colorectal cancer (CRC). We systematically searched PubMed, Embase, Web of Science, and Cochrane Library databases for observational studies (published before Novembe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337537/ https://www.ncbi.nlm.nih.gov/pubmed/32629696 http://dx.doi.org/10.1097/MD.0000000000020937 |
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author | Zhou, Wenchuan Tao, Jinxin Li, Jin Tao, Shaoyu |
author_facet | Zhou, Wenchuan Tao, Jinxin Li, Jin Tao, Shaoyu |
author_sort | Zhou, Wenchuan |
collection | PubMed |
description | The purpose of this meta-analysis was to assess the usefulness of volatile organic compounds (VOC) as a potential novel biomarker for colorectal cancer (CRC). We systematically searched PubMed, Embase, Web of Science, and Cochrane Library databases for observational studies (published before November 25th, 2019; no language restrictions) comparing the VOC analysis between patients with CRC and healthy controls. We evaluated the pooled sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratio, as well as summary receiver operating characteristic curve and area under the curve. We identified a total of 10 observational studies that included 381 patients with CRC and 436 healthy controls. Bivariate analysis yielded a pooled sensitivity of 0.82 (95% confidence interval [CI] = 0.77–0.86), specificity of 0.79 (95% CI = 0.71–0.85), positive likelihood ratio of 3.8 (95% CI = 2.8–5.3), and negative likelihood ratio of 0.23 (95% CI = 0.17–0.30). The area under the curve was 0.87 (95% CI = 0.84–0.90). The pooled diagnostic odds ratio was 17 (95% CI = 10–28). Sensitivity analysis indicated that the pooled results were stabilized. The Deeks’ funnel plot asymmetry test (P = .41) suggested no potential publication bias. Our pooled data confirmed the associations between VOC analysis and CRC, highlighting the usefulness of VOC analysis as a potential novel screening tool for CRC. However, standardization of VOC collection and analysis methods for CRC screening is required in future research. |
format | Online Article Text |
id | pubmed-7337537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-73375372020-07-14 Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis Zhou, Wenchuan Tao, Jinxin Li, Jin Tao, Shaoyu Medicine (Baltimore) 4400 The purpose of this meta-analysis was to assess the usefulness of volatile organic compounds (VOC) as a potential novel biomarker for colorectal cancer (CRC). We systematically searched PubMed, Embase, Web of Science, and Cochrane Library databases for observational studies (published before November 25th, 2019; no language restrictions) comparing the VOC analysis between patients with CRC and healthy controls. We evaluated the pooled sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratio, as well as summary receiver operating characteristic curve and area under the curve. We identified a total of 10 observational studies that included 381 patients with CRC and 436 healthy controls. Bivariate analysis yielded a pooled sensitivity of 0.82 (95% confidence interval [CI] = 0.77–0.86), specificity of 0.79 (95% CI = 0.71–0.85), positive likelihood ratio of 3.8 (95% CI = 2.8–5.3), and negative likelihood ratio of 0.23 (95% CI = 0.17–0.30). The area under the curve was 0.87 (95% CI = 0.84–0.90). The pooled diagnostic odds ratio was 17 (95% CI = 10–28). Sensitivity analysis indicated that the pooled results were stabilized. The Deeks’ funnel plot asymmetry test (P = .41) suggested no potential publication bias. Our pooled data confirmed the associations between VOC analysis and CRC, highlighting the usefulness of VOC analysis as a potential novel screening tool for CRC. However, standardization of VOC collection and analysis methods for CRC screening is required in future research. Wolters Kluwer Health 2020-07-02 /pmc/articles/PMC7337537/ /pubmed/32629696 http://dx.doi.org/10.1097/MD.0000000000020937 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 4400 Zhou, Wenchuan Tao, Jinxin Li, Jin Tao, Shaoyu Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title | Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title_full | Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title_fullStr | Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title_full_unstemmed | Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title_short | Volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: A systematic review and meta-analysis |
title_sort | volatile organic compounds analysis as a potential novel screening tool for colorectal cancer: a systematic review and meta-analysis |
topic | 4400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337537/ https://www.ncbi.nlm.nih.gov/pubmed/32629696 http://dx.doi.org/10.1097/MD.0000000000020937 |
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