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Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia
BACKGROUND: In 2017, the New South Wales Cancer Registry (NSWCR) participated in a project, supported by Cancer Australia, aiming to provide national stage data for melanoma, prostate, colorectal, breast, and lung cancers diagnosed in 2011. Simplified business rules based on the American Joint Commi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714314/ https://www.ncbi.nlm.nih.gov/pubmed/31462255 http://dx.doi.org/10.1186/s12885-019-6062-x |
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author | Lawrance, Sheena Bui, Chau Mahindra, Vidur Arcorace, Maria Cooke-Yarborough, Claire |
author_facet | Lawrance, Sheena Bui, Chau Mahindra, Vidur Arcorace, Maria Cooke-Yarborough, Claire |
author_sort | Lawrance, Sheena |
collection | PubMed |
description | BACKGROUND: In 2017, the New South Wales Cancer Registry (NSWCR) participated in a project, supported by Cancer Australia, aiming to provide national stage data for melanoma, prostate, colorectal, breast, and lung cancers diagnosed in 2011. Simplified business rules based on the American Joint Committee for Cancer (AJCC) Tumour-Node-Metastasis (TNM) stage were applied to obtain Registry-Derived (RD) stage, defined as the best estimate of TNM stage at diagnosis using routine notifications available within cancer registries. RD-stage was compared with Degree of Spread (DoS), which has been recorded for all applicable cancers in NSWCR at a population-based level since 1972, and a summary AJCC-TNM stage group, which has been collected variably since 2006. For each of the five high incidence cancers, we compared the level of improvements RD-staging provided in terms of completeness and accuracy (alignment to more clinically relevant AJCC-TNM) over DoS. METHODS: For each of the five cancers, stage data were extracted from NSWCR pre- and post- RD-staging to compare data completeness across all three staging systems. The alignment between DoS/RD-stage and AJCC-TNM was compared, as were the expected and observed cross-tabulated frequency distributions using a subset of NSWCR data. To determine differences between use of DoS, RD-stage, and AJCC-TNM in an epidemiological analysis, we compared survival models developed from each of the three stage variables. RESULTS: We found RD-staging provided greatest stage data completeness and alignment to AJCC-TNM for prostate cancers, followed by breast, then melanoma and lung cancers. For colorectal cancer, summary stage from DoS was confirmed as an equivalent surrogate staging system to both AJCC-TNM and RD-stage. CONCLUSIONS: This analysis provides an evidence-based approach that can be used to inform decision-making for resource planning and potential implementation of a new stage data field in population-based cancer registries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-6062-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6714314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67143142019-09-04 Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia Lawrance, Sheena Bui, Chau Mahindra, Vidur Arcorace, Maria Cooke-Yarborough, Claire BMC Cancer Research Article BACKGROUND: In 2017, the New South Wales Cancer Registry (NSWCR) participated in a project, supported by Cancer Australia, aiming to provide national stage data for melanoma, prostate, colorectal, breast, and lung cancers diagnosed in 2011. Simplified business rules based on the American Joint Committee for Cancer (AJCC) Tumour-Node-Metastasis (TNM) stage were applied to obtain Registry-Derived (RD) stage, defined as the best estimate of TNM stage at diagnosis using routine notifications available within cancer registries. RD-stage was compared with Degree of Spread (DoS), which has been recorded for all applicable cancers in NSWCR at a population-based level since 1972, and a summary AJCC-TNM stage group, which has been collected variably since 2006. For each of the five high incidence cancers, we compared the level of improvements RD-staging provided in terms of completeness and accuracy (alignment to more clinically relevant AJCC-TNM) over DoS. METHODS: For each of the five cancers, stage data were extracted from NSWCR pre- and post- RD-staging to compare data completeness across all three staging systems. The alignment between DoS/RD-stage and AJCC-TNM was compared, as were the expected and observed cross-tabulated frequency distributions using a subset of NSWCR data. To determine differences between use of DoS, RD-stage, and AJCC-TNM in an epidemiological analysis, we compared survival models developed from each of the three stage variables. RESULTS: We found RD-staging provided greatest stage data completeness and alignment to AJCC-TNM for prostate cancers, followed by breast, then melanoma and lung cancers. For colorectal cancer, summary stage from DoS was confirmed as an equivalent surrogate staging system to both AJCC-TNM and RD-stage. CONCLUSIONS: This analysis provides an evidence-based approach that can be used to inform decision-making for resource planning and potential implementation of a new stage data field in population-based cancer registries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-6062-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-28 /pmc/articles/PMC6714314/ /pubmed/31462255 http://dx.doi.org/10.1186/s12885-019-6062-x 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 Article Lawrance, Sheena Bui, Chau Mahindra, Vidur Arcorace, Maria Cooke-Yarborough, Claire Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title | Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title_full | Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title_fullStr | Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title_full_unstemmed | Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title_short | Assessing a modified-AJCC TNM staging system in the New South Wales Cancer Registry, Australia |
title_sort | assessing a modified-ajcc tnm staging system in the new south wales cancer registry, australia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714314/ https://www.ncbi.nlm.nih.gov/pubmed/31462255 http://dx.doi.org/10.1186/s12885-019-6062-x |
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