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Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy
Cutaneous malignant melanoma is a rare but fatal disease in East Asia. Despite its increasing incidence, a general lack of awareness about the disease was noted. This study aims to provide population-based prognostic analysis of melanoma with sentinel lymph node biopsy (SLNB) in Taiwan. We conducted...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521595/ https://www.ncbi.nlm.nih.gov/pubmed/34654890 http://dx.doi.org/10.1038/s41598-021-99950-1 |
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author | Wu, Ping-Chung Chen, Yu-Ching Chen, Hsiu-Min Chen, Lee-Wei |
author_facet | Wu, Ping-Chung Chen, Yu-Ching Chen, Hsiu-Min Chen, Lee-Wei |
author_sort | Wu, Ping-Chung |
collection | PubMed |
description | Cutaneous malignant melanoma is a rare but fatal disease in East Asia. Despite its increasing incidence, a general lack of awareness about the disease was noted. This study aims to provide population-based prognostic analysis of melanoma with sentinel lymph node biopsy (SLNB) in Taiwan. We conducted this retrospective cohort study using the data from Taiwan National Health Insurance Research Database during 1997–2013. The study cohort contains 3284 patients. The 5-year survival rates of patients undergoing SLNB and not undergoing SLNB were 45.5% and 33.6%. In multivariate analysis, age ≥ 80 years [adjusted hazard ratio (aHR) = 2.15] and male (aHR = 1.19) were associated with a poorer prognosis, while high social economic status (SES) (aHR = 0.69) and undergoing SLNB (aHR = 0.84) were good prognostic factors. Old age and low SES were associated with lower percentages of patients undergoing SLNB (P < 0.001). E-value analysis suggested robustness to unmeasured confounding. In conclusion, undergoing SLNB was associated with a better prognosis. The poor prognosis of old age and low SES may be due to decreased percentages of patients undergoing SLNB. Therefore, we recommend that SLNB should be performed on patients, especially in old age or low SES, who are candidates for SLNB according to current guidelines to achieve maximal survival. |
format | Online Article Text |
id | pubmed-8521595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85215952021-10-20 Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy Wu, Ping-Chung Chen, Yu-Ching Chen, Hsiu-Min Chen, Lee-Wei Sci Rep Article Cutaneous malignant melanoma is a rare but fatal disease in East Asia. Despite its increasing incidence, a general lack of awareness about the disease was noted. This study aims to provide population-based prognostic analysis of melanoma with sentinel lymph node biopsy (SLNB) in Taiwan. We conducted this retrospective cohort study using the data from Taiwan National Health Insurance Research Database during 1997–2013. The study cohort contains 3284 patients. The 5-year survival rates of patients undergoing SLNB and not undergoing SLNB were 45.5% and 33.6%. In multivariate analysis, age ≥ 80 years [adjusted hazard ratio (aHR) = 2.15] and male (aHR = 1.19) were associated with a poorer prognosis, while high social economic status (SES) (aHR = 0.69) and undergoing SLNB (aHR = 0.84) were good prognostic factors. Old age and low SES were associated with lower percentages of patients undergoing SLNB (P < 0.001). E-value analysis suggested robustness to unmeasured confounding. In conclusion, undergoing SLNB was associated with a better prognosis. The poor prognosis of old age and low SES may be due to decreased percentages of patients undergoing SLNB. Therefore, we recommend that SLNB should be performed on patients, especially in old age or low SES, who are candidates for SLNB according to current guidelines to achieve maximal survival. Nature Publishing Group UK 2021-10-15 /pmc/articles/PMC8521595/ /pubmed/34654890 http://dx.doi.org/10.1038/s41598-021-99950-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wu, Ping-Chung Chen, Yu-Ching Chen, Hsiu-Min Chen, Lee-Wei Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title | Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title_full | Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title_fullStr | Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title_full_unstemmed | Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title_short | Prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
title_sort | prognostic factors and population-based analysis of melanoma with sentinel lymph node biopsy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521595/ https://www.ncbi.nlm.nih.gov/pubmed/34654890 http://dx.doi.org/10.1038/s41598-021-99950-1 |
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