Clinical and pathologic factors affecting lymph node yields in colorectal cancer.

OBJECTIVE: Lymph node yield is recommended as a benchmark of quality care in colorectal cancer. The objective of this study was to evaluate the impact of various factors upon lymph node yield and to identify independent factors associated with lymph node harvest. MATERIALS AND METHODS: The records o...

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Main Authors: Ta-Wen Hsu, Hsin-Ju Lu, Chang-Kuo Wei, Wen-Yao Yin, Chun-Ming Chang, Wen-Yen Chiou, Moon-Sing Lee, Hon-Yi Lin, Yu-Chieh Su, Shih-Kai Hung
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3713001?pdf=render
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spelling doaj-7a732c71a4304eaf89890e97cdd6710d2020-11-25T01:23:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6852610.1371/journal.pone.0068526Clinical and pathologic factors affecting lymph node yields in colorectal cancer.Ta-Wen HsuHsin-Ju LuChang-Kuo WeiWen-Yao YinChun-Ming ChangWen-Yen ChiouMoon-Sing LeeHon-Yi LinYu-Chieh SuShih-Kai HungOBJECTIVE: Lymph node yield is recommended as a benchmark of quality care in colorectal cancer. The objective of this study was to evaluate the impact of various factors upon lymph node yield and to identify independent factors associated with lymph node harvest. MATERIALS AND METHODS: The records of 162 patients with Stage I to Stage III colorectal cancers seen in one institution were reviewed. These patients underwent radical surgery as definitive therapy; high-risk patients then received adjuvant treatment. Pathologic and demographic data were recorded and analyzed. The subgroup analysis of lymph node yields was determined using a t-test and analysis of variants. Linear regression model and multivariable analysis were used to perform potential confounding and predicting variables. RESULTS: Five variables had significant association with lymph node yield after adjustment for other factors in a multiple linear regression model. These variables were: tumor size, surgical method, specimen length, and individual surgeon and pathologist. The model with these five significant variables interpreted 44.4% of the variation. CONCLUSIONS: Patients, tumor characteristics and surgical variables all influence the number of lymph nodes retrieved. Physicians are the main gatekeepers. Adequate training and optimized guidelines could greatly improve the quality of lymph node yields.http://europepmc.org/articles/PMC3713001?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ta-Wen Hsu
Hsin-Ju Lu
Chang-Kuo Wei
Wen-Yao Yin
Chun-Ming Chang
Wen-Yen Chiou
Moon-Sing Lee
Hon-Yi Lin
Yu-Chieh Su
Shih-Kai Hung
spellingShingle Ta-Wen Hsu
Hsin-Ju Lu
Chang-Kuo Wei
Wen-Yao Yin
Chun-Ming Chang
Wen-Yen Chiou
Moon-Sing Lee
Hon-Yi Lin
Yu-Chieh Su
Shih-Kai Hung
Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
PLoS ONE
author_facet Ta-Wen Hsu
Hsin-Ju Lu
Chang-Kuo Wei
Wen-Yao Yin
Chun-Ming Chang
Wen-Yen Chiou
Moon-Sing Lee
Hon-Yi Lin
Yu-Chieh Su
Shih-Kai Hung
author_sort Ta-Wen Hsu
title Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
title_short Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
title_full Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
title_fullStr Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
title_full_unstemmed Clinical and pathologic factors affecting lymph node yields in colorectal cancer.
title_sort clinical and pathologic factors affecting lymph node yields in colorectal cancer.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description OBJECTIVE: Lymph node yield is recommended as a benchmark of quality care in colorectal cancer. The objective of this study was to evaluate the impact of various factors upon lymph node yield and to identify independent factors associated with lymph node harvest. MATERIALS AND METHODS: The records of 162 patients with Stage I to Stage III colorectal cancers seen in one institution were reviewed. These patients underwent radical surgery as definitive therapy; high-risk patients then received adjuvant treatment. Pathologic and demographic data were recorded and analyzed. The subgroup analysis of lymph node yields was determined using a t-test and analysis of variants. Linear regression model and multivariable analysis were used to perform potential confounding and predicting variables. RESULTS: Five variables had significant association with lymph node yield after adjustment for other factors in a multiple linear regression model. These variables were: tumor size, surgical method, specimen length, and individual surgeon and pathologist. The model with these five significant variables interpreted 44.4% of the variation. CONCLUSIONS: Patients, tumor characteristics and surgical variables all influence the number of lymph nodes retrieved. Physicians are the main gatekeepers. Adequate training and optimized guidelines could greatly improve the quality of lymph node yields.
url http://europepmc.org/articles/PMC3713001?pdf=render
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