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Clinical features of colorectal cancer before diagnosis: a population-based case–control study

Most colorectal cancers are diagnosed after the onset of symptoms. However, the risk of colorectal cancer posed by particular symptoms is largely unknown, especially in unselected populations like primary care. This was a population-based case–control study in all 21 general practices in Exeter, Dev...

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Autores principales: Hamilton, W, Round, A, Sharp, D, Peters, T J
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361578/
https://www.ncbi.nlm.nih.gov/pubmed/16106247
http://dx.doi.org/10.1038/sj.bjc.6602714
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author Hamilton, W
Round, A
Sharp, D
Peters, T J
author_facet Hamilton, W
Round, A
Sharp, D
Peters, T J
author_sort Hamilton, W
collection PubMed
description Most colorectal cancers are diagnosed after the onset of symptoms. However, the risk of colorectal cancer posed by particular symptoms is largely unknown, especially in unselected populations like primary care. This was a population-based case–control study in all 21 general practices in Exeter, Devon, UK, aiming to identify and quantify the prediagnostic features of colorectal cancer. In total, 349 patients with colorectal cancer, aged 40 years or more, and 1744 controls, matched by age, sex and general practice, were studied. The full medical record for 2 years before diagnosis was coded using the International Classification of Primary Care-2. We calculated odds ratios for variables independently associated with cancer, using multivariable conditional logistic regressions, and then calculated the positive predictive values of these variables, both individually and in combination. In total, 10 features were associated with colorectal cancer before diagnosis. The positive predictive values (95% confidence interval) of these were rectal bleeding 2.4% (1.9, 3.2); weight loss 1.2% (0.91, 1.6); abdominal pain 1.1% (0.86, 1.3); diarrhoea 0.94% (0.73, 1.1); constipation 0.42% (0.34, 0.52); abnormal rectal examination 4.0% (2.4, 7.4); abdominal tenderness 1.1% (0.77, 1.5); haemoglobin <10.0 g dl(−1) 2.3% (1.6, 3.1); positive faecal occult bloods 7.1% (5.1, 10); blood glucose>10 mmol l(−1) 0.78% (0.51, 1.1): all P<0.001. Earlier diagnosis of colorectal cancer may be possible using the predictive values for single or multiple symptoms, physical signs or test results.
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spelling pubmed-23615782009-09-10 Clinical features of colorectal cancer before diagnosis: a population-based case–control study Hamilton, W Round, A Sharp, D Peters, T J Br J Cancer Clinical Study Most colorectal cancers are diagnosed after the onset of symptoms. However, the risk of colorectal cancer posed by particular symptoms is largely unknown, especially in unselected populations like primary care. This was a population-based case–control study in all 21 general practices in Exeter, Devon, UK, aiming to identify and quantify the prediagnostic features of colorectal cancer. In total, 349 patients with colorectal cancer, aged 40 years or more, and 1744 controls, matched by age, sex and general practice, were studied. The full medical record for 2 years before diagnosis was coded using the International Classification of Primary Care-2. We calculated odds ratios for variables independently associated with cancer, using multivariable conditional logistic regressions, and then calculated the positive predictive values of these variables, both individually and in combination. In total, 10 features were associated with colorectal cancer before diagnosis. The positive predictive values (95% confidence interval) of these were rectal bleeding 2.4% (1.9, 3.2); weight loss 1.2% (0.91, 1.6); abdominal pain 1.1% (0.86, 1.3); diarrhoea 0.94% (0.73, 1.1); constipation 0.42% (0.34, 0.52); abnormal rectal examination 4.0% (2.4, 7.4); abdominal tenderness 1.1% (0.77, 1.5); haemoglobin <10.0 g dl(−1) 2.3% (1.6, 3.1); positive faecal occult bloods 7.1% (5.1, 10); blood glucose>10 mmol l(−1) 0.78% (0.51, 1.1): all P<0.001. Earlier diagnosis of colorectal cancer may be possible using the predictive values for single or multiple symptoms, physical signs or test results. Nature Publishing Group 2005-08-22 2005-08-02 /pmc/articles/PMC2361578/ /pubmed/16106247 http://dx.doi.org/10.1038/sj.bjc.6602714 Text en Copyright © 2005 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Clinical Study
Hamilton, W
Round, A
Sharp, D
Peters, T J
Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title_full Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title_fullStr Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title_full_unstemmed Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title_short Clinical features of colorectal cancer before diagnosis: a population-based case–control study
title_sort clinical features of colorectal cancer before diagnosis: a population-based case–control study
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361578/
https://www.ncbi.nlm.nih.gov/pubmed/16106247
http://dx.doi.org/10.1038/sj.bjc.6602714
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