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A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma

BACKGROUND: Active surveillance (AS) has been considered the first-line management for patients with clinical low-risk papillary thyroid microcarcinoma (PTMC) who often have lymph node micrometastasis (m-LNM) when diagnosed. The “low-risk” and “high prevalence of m-LNM” paradox is a potential barrie...

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Autores principales: Liu, Wen, Yan, Xuejing, Dong, Zhizhong, Su, Yanjun, Ma, Yunhai, Zhang, Jianming, Diao, Chang, Qian, Jun, Ran, Tao, Cheng, Ruochuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279734/
https://www.ncbi.nlm.nih.gov/pubmed/35847961
http://dx.doi.org/10.3389/fonc.2022.855830
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author Liu, Wen
Yan, Xuejing
Dong, Zhizhong
Su, Yanjun
Ma, Yunhai
Zhang, Jianming
Diao, Chang
Qian, Jun
Ran, Tao
Cheng, Ruochuan
author_facet Liu, Wen
Yan, Xuejing
Dong, Zhizhong
Su, Yanjun
Ma, Yunhai
Zhang, Jianming
Diao, Chang
Qian, Jun
Ran, Tao
Cheng, Ruochuan
author_sort Liu, Wen
collection PubMed
description BACKGROUND: Active surveillance (AS) has been considered the first-line management for patients with clinical low-risk papillary thyroid microcarcinoma (PTMC) who often have lymph node micrometastasis (m-LNM) when diagnosed. The “low-risk” and “high prevalence of m-LNM” paradox is a potential barrier to the acceptance of AS for thyroid cancer by both surgeons and patients. METHODS: Patients diagnosed with PTMC who underwent thyroidectomy with at least one lymph node (LN) examined were identified from a tertiary center database (n = 5,399). A β-binomial distribution was used to estimate the probability of missing nodal disease as a function of the number of LNs examined. Overall survival (OS) probabilities of groups with adequate and inadequate numbers of LNs examined were estimated using the Kaplan–Meier method in the Surveillance, Epidemiology, and End Results (SEER) database (n = 15,340). A multivariable model with restricted cubic splines was also used to verify the association of OS with the number of LNs examined. RESULTS: The risk of residual m-LNM (missed nodal disease) ranged from 31.3% to 10.0% if the number of LNs examined ranged from 1 and 7 in patients with PTMC. With 7 LNs examined serving as the cutoff value, the intergroup comparison showed that residual positive LNs did not affect OS across all patients and patients aged ≥55 years (P = 0.72 and P = 0.112, respectively). After adjusting for patient and clinical characteristics, the multivariate model also showed a slight effect of the number of LNs examined on OS (P = 0.69). CONCLUSIONS: Even with the high prevalence, OS is not significantly compromised by persistent m-LNM in the body of patients with low-risk PTMC. These findings suggest that the concerns of LNM should not be viewed as an obstacle to developing AS for thyroid cancer. For patients with PTMC who undergo surgery, prophylactic central LN dissection does not provide a survival benefit.
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spelling pubmed-92797342022-07-15 A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma Liu, Wen Yan, Xuejing Dong, Zhizhong Su, Yanjun Ma, Yunhai Zhang, Jianming Diao, Chang Qian, Jun Ran, Tao Cheng, Ruochuan Front Oncol Oncology BACKGROUND: Active surveillance (AS) has been considered the first-line management for patients with clinical low-risk papillary thyroid microcarcinoma (PTMC) who often have lymph node micrometastasis (m-LNM) when diagnosed. The “low-risk” and “high prevalence of m-LNM” paradox is a potential barrier to the acceptance of AS for thyroid cancer by both surgeons and patients. METHODS: Patients diagnosed with PTMC who underwent thyroidectomy with at least one lymph node (LN) examined were identified from a tertiary center database (n = 5,399). A β-binomial distribution was used to estimate the probability of missing nodal disease as a function of the number of LNs examined. Overall survival (OS) probabilities of groups with adequate and inadequate numbers of LNs examined were estimated using the Kaplan–Meier method in the Surveillance, Epidemiology, and End Results (SEER) database (n = 15,340). A multivariable model with restricted cubic splines was also used to verify the association of OS with the number of LNs examined. RESULTS: The risk of residual m-LNM (missed nodal disease) ranged from 31.3% to 10.0% if the number of LNs examined ranged from 1 and 7 in patients with PTMC. With 7 LNs examined serving as the cutoff value, the intergroup comparison showed that residual positive LNs did not affect OS across all patients and patients aged ≥55 years (P = 0.72 and P = 0.112, respectively). After adjusting for patient and clinical characteristics, the multivariate model also showed a slight effect of the number of LNs examined on OS (P = 0.69). CONCLUSIONS: Even with the high prevalence, OS is not significantly compromised by persistent m-LNM in the body of patients with low-risk PTMC. These findings suggest that the concerns of LNM should not be viewed as an obstacle to developing AS for thyroid cancer. For patients with PTMC who undergo surgery, prophylactic central LN dissection does not provide a survival benefit. Frontiers Media S.A. 2022-06-30 /pmc/articles/PMC9279734/ /pubmed/35847961 http://dx.doi.org/10.3389/fonc.2022.855830 Text en Copyright © 2022 Liu, Yan, Dong, Su, Ma, Zhang, Diao, Qian, Ran and Cheng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Liu, Wen
Yan, Xuejing
Dong, Zhizhong
Su, Yanjun
Ma, Yunhai
Zhang, Jianming
Diao, Chang
Qian, Jun
Ran, Tao
Cheng, Ruochuan
A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title_full A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title_fullStr A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title_full_unstemmed A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title_short A Mathematical Model to Assess the Effect of Residual Positive Lymph Nodes on the Survival of Patients With Papillary Thyroid Microcarcinoma
title_sort mathematical model to assess the effect of residual positive lymph nodes on the survival of patients with papillary thyroid microcarcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279734/
https://www.ncbi.nlm.nih.gov/pubmed/35847961
http://dx.doi.org/10.3389/fonc.2022.855830
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