Clinical and pathologic factors affecting lymph node yields in colorectal cancer
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. The records of 162 patients with Stage I to Sta...
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| Veröffentlicht in: | PloS one 2013-07, Vol.8 (7), p.e68526-e68526 |
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| creator | Hsu, Ta-Wen Lu, Hsin-Ju Wei, Chang-Kuo Yin, Wen-Yao Chang, Chun-Ming Chiou, Wen-Yen Lee, Moon-Sing Lin, Hon-Yi Su, Yu-Chieh Hung, Shih-Kai |
| description | 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.
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.
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.
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. |
| doi_str_mv | 10.1371/journal.pone.0068526 |
| format | Article |
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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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0068526</identifier><identifier>PMID: 23874656</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biopsy ; Buddhism ; Cancer ; Cancer therapies ; Care and treatment ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - surgery ; Data processing ; Demographics ; Female ; Hospitals ; Humans ; Identification methods ; Linear Models ; Lymph nodes ; Lymph Nodes - surgery ; Lymphatic system ; Male ; Mathematics ; Medical care quality ; Medical personnel ; Medical prognosis ; Medicine ; Middle Aged ; Oncology ; Patients ; Performance prediction ; Physicians ; Quality ; Regression analysis ; Regression models ; Review boards ; Risk groups ; Surgeons ; Surgery</subject><ispartof>PloS one, 2013-07, Vol.8 (7), p.e68526-e68526</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Hsu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Hsu et al 2013 Hsu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-55336f58422f75bbedb632e5bc12ef3ff0a2570ec0ac620c7cd58425917da6e33</citedby><cites>FETCH-LOGICAL-c692t-55336f58422f75bbedb632e5bc12ef3ff0a2570ec0ac620c7cd58425917da6e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713001/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713001/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23874656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Aziz, Syed A.</contributor><creatorcontrib>Hsu, Ta-Wen</creatorcontrib><creatorcontrib>Lu, Hsin-Ju</creatorcontrib><creatorcontrib>Wei, Chang-Kuo</creatorcontrib><creatorcontrib>Yin, Wen-Yao</creatorcontrib><creatorcontrib>Chang, Chun-Ming</creatorcontrib><creatorcontrib>Chiou, Wen-Yen</creatorcontrib><creatorcontrib>Lee, Moon-Sing</creatorcontrib><creatorcontrib>Lin, Hon-Yi</creatorcontrib><creatorcontrib>Su, Yu-Chieh</creatorcontrib><creatorcontrib>Hung, Shih-Kai</creatorcontrib><title>Clinical and pathologic factors affecting lymph node yields in colorectal cancer</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biopsy</subject><subject>Buddhism</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - surgery</subject><subject>Data processing</subject><subject>Demographics</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Linear Models</subject><subject>Lymph nodes</subject><subject>Lymph Nodes - surgery</subject><subject>Lymphatic system</subject><subject>Male</subject><subject>Mathematics</subject><subject>Medical care quality</subject><subject>Medical personnel</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Middle 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Wen-Yao</au><au>Chang, Chun-Ming</au><au>Chiou, Wen-Yen</au><au>Lee, Moon-Sing</au><au>Lin, Hon-Yi</au><au>Su, Yu-Chieh</au><au>Hung, Shih-Kai</au><au>Aziz, Syed A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical and pathologic factors affecting lymph node yields in colorectal cancer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-07-16</date><risdate>2013</risdate><volume>8</volume><issue>7</issue><spage>e68526</spage><epage>e68526</epage><pages>e68526-e68526</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23874656</pmid><doi>10.1371/journal.pone.0068526</doi><tpages>e68526</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; Free E-Journal (出版社公開部分のみ）; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Aged Aged, 80 and over Biopsy Buddhism Cancer Cancer therapies Care and treatment Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - surgery Data processing Demographics Female Hospitals Humans Identification methods Linear Models Lymph nodes Lymph Nodes - surgery Lymphatic system Male Mathematics Medical care quality Medical personnel Medical prognosis Medicine Middle Aged Oncology Patients Performance prediction Physicians Quality Regression analysis Regression models Review boards Risk groups Surgeons Surgery |
| title | Clinical and pathologic factors affecting lymph node yields in colorectal cancer |
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