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Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis

OBJECTIVE: This study aims to determine the optimal pelvic lymph node dissection (PLND) template for radical cystectomy (RC). METHODS: A systematic search was conducted using the PubMed, Embase and Cochrane Library database in December 2021. Articles comparing recurrence-free survival (RFS), disease...

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Autores principales: Qi, Wenqiang, Zhong, Minglei, Jiang, Ning, Zhou, Yongheng, Lv, Guangda, Li, Rongyang, Shi, Benkang, Chen, Shouzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732561/
https://www.ncbi.nlm.nih.gov/pubmed/36505883
http://dx.doi.org/10.3389/fonc.2022.986150
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author Qi, Wenqiang
Zhong, Minglei
Jiang, Ning
Zhou, Yongheng
Lv, Guangda
Li, Rongyang
Shi, Benkang
Chen, Shouzhen
author_facet Qi, Wenqiang
Zhong, Minglei
Jiang, Ning
Zhou, Yongheng
Lv, Guangda
Li, Rongyang
Shi, Benkang
Chen, Shouzhen
author_sort Qi, Wenqiang
collection PubMed
description OBJECTIVE: This study aims to determine the optimal pelvic lymph node dissection (PLND) template for radical cystectomy (RC). METHODS: A systematic search was conducted using the PubMed, Embase and Cochrane Library database in December 2021. Articles comparing recurrence-free survival (RFS), disease-specific survival (DSS), overall survival (OS), and postoperative complications among patients undergoing limited PLND (lPLND), standard PLND (sPLND), extended PLND (ePLND), or super-extended PLND (sePLND) were included. A Bayesian approach was used for network meta-analysis. RESULTS: We included 18 studies in this systematic review, and 17 studies met our criteria for network meta-analysis. We performed meta-analyses and network meta-analyses to investigate the associations between four PLND templates and the RFS, DSS, OS, or postoperative complications. We found that the ePLND group and the sePLND group were associated with better RFS than the sPLND group (Hazard Ratio [HR]: 0.65, 95% Credible Interval [CrI]: 0.56 to 0.78) (HR: 0.67, 95% CrI: 0.56 to 0.83) and the lPLND group (HR: 0.67, 95% CrI: 0.50 to 0.91) (HR: 0.70, 95% CrI: 0.49 to 0.99). For RFS, Analysis of the treatment ranking revealed that ePLND had the highest probabilities to be the best template. There was no significant difference between the four templates in DSS, however, analysis of the treatment ranking indicated that sePLND had the highest probabilities to be the best template. And We found that the sePLND group and the ePLND group were associated with better OS than lPLND (HR: 0.58, 95% CrI: 0.36 to 0.95) (HR: 0.63, 95% CrI: 0.41 to 0.94). For OS, analysis of the treatment ranking revealed that sePLND had the highest probabilities to be the best template. The results of meta-analyses and network meta-analyses showed that postoperative complications rates did not differ significantly between any two templates. CONCLUSION: Patients undergoing sePLND and ePLND had better RFS but not better DSS or OS than those undergoing lPLND or sPLND templates, however, RFS did not differ between patients undergoing sePLND or ePLND. Considering that sePLND involves longer operation time, higher risk, and greater degree of difficulty than ePLND, and performing sePLND may not result in better prognosis, so it seems that there is no need for seLPND. We think that ePLND might be the optimal PLND template for RC. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, identifier CRD42022318475.
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spelling pubmed-97325612022-12-10 Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis Qi, Wenqiang Zhong, Minglei Jiang, Ning Zhou, Yongheng Lv, Guangda Li, Rongyang Shi, Benkang Chen, Shouzhen Front Oncol Oncology OBJECTIVE: This study aims to determine the optimal pelvic lymph node dissection (PLND) template for radical cystectomy (RC). METHODS: A systematic search was conducted using the PubMed, Embase and Cochrane Library database in December 2021. Articles comparing recurrence-free survival (RFS), disease-specific survival (DSS), overall survival (OS), and postoperative complications among patients undergoing limited PLND (lPLND), standard PLND (sPLND), extended PLND (ePLND), or super-extended PLND (sePLND) were included. A Bayesian approach was used for network meta-analysis. RESULTS: We included 18 studies in this systematic review, and 17 studies met our criteria for network meta-analysis. We performed meta-analyses and network meta-analyses to investigate the associations between four PLND templates and the RFS, DSS, OS, or postoperative complications. We found that the ePLND group and the sePLND group were associated with better RFS than the sPLND group (Hazard Ratio [HR]: 0.65, 95% Credible Interval [CrI]: 0.56 to 0.78) (HR: 0.67, 95% CrI: 0.56 to 0.83) and the lPLND group (HR: 0.67, 95% CrI: 0.50 to 0.91) (HR: 0.70, 95% CrI: 0.49 to 0.99). For RFS, Analysis of the treatment ranking revealed that ePLND had the highest probabilities to be the best template. There was no significant difference between the four templates in DSS, however, analysis of the treatment ranking indicated that sePLND had the highest probabilities to be the best template. And We found that the sePLND group and the ePLND group were associated with better OS than lPLND (HR: 0.58, 95% CrI: 0.36 to 0.95) (HR: 0.63, 95% CrI: 0.41 to 0.94). For OS, analysis of the treatment ranking revealed that sePLND had the highest probabilities to be the best template. The results of meta-analyses and network meta-analyses showed that postoperative complications rates did not differ significantly between any two templates. CONCLUSION: Patients undergoing sePLND and ePLND had better RFS but not better DSS or OS than those undergoing lPLND or sPLND templates, however, RFS did not differ between patients undergoing sePLND or ePLND. Considering that sePLND involves longer operation time, higher risk, and greater degree of difficulty than ePLND, and performing sePLND may not result in better prognosis, so it seems that there is no need for seLPND. We think that ePLND might be the optimal PLND template for RC. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, identifier CRD42022318475. Frontiers Media S.A. 2022-11-25 /pmc/articles/PMC9732561/ /pubmed/36505883 http://dx.doi.org/10.3389/fonc.2022.986150 Text en Copyright © 2022 Qi, Zhong, Jiang, Zhou, Lv, Li, Shi and Chen 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
Qi, Wenqiang
Zhong, Minglei
Jiang, Ning
Zhou, Yongheng
Lv, Guangda
Li, Rongyang
Shi, Benkang
Chen, Shouzhen
Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title_full Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title_fullStr Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title_full_unstemmed Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title_short Which lymph node dissection template is optimal for radical cystectomy? A systematic review and Bayesian network meta-analysis
title_sort which lymph node dissection template is optimal for radical cystectomy? a systematic review and bayesian network meta-analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732561/
https://www.ncbi.nlm.nih.gov/pubmed/36505883
http://dx.doi.org/10.3389/fonc.2022.986150
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