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Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes

BACKGROUND: The number of individuals meeting criteria for genetic counseling and testing for hereditary cancer syndromes (HCS) is far less than the number that actually receive it. To facilitate identification of patients at risk for HCS, Counsyl developed a digital identification tool (digital ID...

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Autores principales: Bucheit, Leslie, Johansen Taber, Katherine, Ready, Kaylene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330430/
https://www.ncbi.nlm.nih.gov/pubmed/30651894
http://dx.doi.org/10.1186/s13053-018-0099-8
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author Bucheit, Leslie
Johansen Taber, Katherine
Ready, Kaylene
author_facet Bucheit, Leslie
Johansen Taber, Katherine
Ready, Kaylene
author_sort Bucheit, Leslie
collection PubMed
description BACKGROUND: The number of individuals meeting criteria for genetic counseling and testing for hereditary cancer syndromes (HCS) is far less than the number that actually receive it. To facilitate identification of patients at risk for HCS, Counsyl developed a digital identification tool (digital ID tool) to match personal and family cancer history to National Comprehensive Cancer Network (NCCN) BRCA-related Hereditary Breast and Ovarian Cancer (HBOC), Lynch syndrome, and polyposis testing criteria in one-to-one, automated fashion. The purpose of this study was to validate the ability of the digital ID tool to accurately identify histories that do and do not meet NCCN testing criteria. METHODS: Third-party recorded three-generation pedigrees were retrospectively reviewed by a certified genetic counselor (CGC) to determine if independent events included in pedigree histories met NCCN guidelines, and were then sorted into groups: high risk events (meets criteria) and low risk events (does not meet criteria). Events were entered into the digital ID tool to determine the extent of its concordance with events sorted by CGC review. Statistical tests of accuracy were calculated at a 95% confidence interval (CI). RESULTS: One hundred ninety-seven pedigrees were reviewed consecutively representing 765 independent events for analysis across groups. 382/382 (100%) high risk events identified by the digital ID tool and 381/383 (99.47%) low risk events identified by the digital ID tool were concordant with CGC sorting. The digital ID tool had a sensitivity of 100% (99.04–100% CI) and specificity of 99.48% (98.13–99.94% CI). The overall accuracy of the digital ID tool was estimated to be 99.74% (99.06–99.97% CI), reflecting the rate at which the digital ID tool reached the same conclusion as that of CGC review of pedigree events for the recommendation of genetic testing for individuals at risk for HCS. CONCLUSIONS: The digital ID tool accurately matches NCCN criteria in one-to-one fashion to identify at-risk individuals for HCS and may be useful in clinical practice, specifically for BRCA-related HBOC and Lynch Syndrome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13053-018-0099-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-63304302019-01-16 Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes Bucheit, Leslie Johansen Taber, Katherine Ready, Kaylene Hered Cancer Clin Pract Research BACKGROUND: The number of individuals meeting criteria for genetic counseling and testing for hereditary cancer syndromes (HCS) is far less than the number that actually receive it. To facilitate identification of patients at risk for HCS, Counsyl developed a digital identification tool (digital ID tool) to match personal and family cancer history to National Comprehensive Cancer Network (NCCN) BRCA-related Hereditary Breast and Ovarian Cancer (HBOC), Lynch syndrome, and polyposis testing criteria in one-to-one, automated fashion. The purpose of this study was to validate the ability of the digital ID tool to accurately identify histories that do and do not meet NCCN testing criteria. METHODS: Third-party recorded three-generation pedigrees were retrospectively reviewed by a certified genetic counselor (CGC) to determine if independent events included in pedigree histories met NCCN guidelines, and were then sorted into groups: high risk events (meets criteria) and low risk events (does not meet criteria). Events were entered into the digital ID tool to determine the extent of its concordance with events sorted by CGC review. Statistical tests of accuracy were calculated at a 95% confidence interval (CI). RESULTS: One hundred ninety-seven pedigrees were reviewed consecutively representing 765 independent events for analysis across groups. 382/382 (100%) high risk events identified by the digital ID tool and 381/383 (99.47%) low risk events identified by the digital ID tool were concordant with CGC sorting. The digital ID tool had a sensitivity of 100% (99.04–100% CI) and specificity of 99.48% (98.13–99.94% CI). The overall accuracy of the digital ID tool was estimated to be 99.74% (99.06–99.97% CI), reflecting the rate at which the digital ID tool reached the same conclusion as that of CGC review of pedigree events for the recommendation of genetic testing for individuals at risk for HCS. CONCLUSIONS: The digital ID tool accurately matches NCCN criteria in one-to-one fashion to identify at-risk individuals for HCS and may be useful in clinical practice, specifically for BRCA-related HBOC and Lynch Syndrome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13053-018-0099-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-11 /pmc/articles/PMC6330430/ /pubmed/30651894 http://dx.doi.org/10.1186/s13053-018-0099-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bucheit, Leslie
Johansen Taber, Katherine
Ready, Kaylene
Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title_full Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title_fullStr Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title_full_unstemmed Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title_short Validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
title_sort validation of a digital identification tool for individuals at risk for hereditary cancer syndromes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330430/
https://www.ncbi.nlm.nih.gov/pubmed/30651894
http://dx.doi.org/10.1186/s13053-018-0099-8
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