Literature DB >> 22221938

Application of propensity score model to examine the prognostic significance of lymph node number as a care quality indicator.

Yun-Jau Chang1, Li-Ju Chen, Yao-Jen Chang, Kuo-Piao Chung, Mei-Shu Lai.   

Abstract

PURPOSE: There is a controversy about whether lymph node yield can be used as a proxy of quality care for patient with colorectal cancer. We aim to use propensity score models to investigate the association between lymph node number and long-term survival for colorectal cancer patients.
MATERIALS AND METHODS: Taiwan Cancer Database was employed to review all patients with newly diagnosed colorectal cancer from 2003 to 2005. Exclusion criteria included those patients with stage IV disease or without information of lymph node. Propensity score models (examined lymph node >12 or <12 as dependent variable) were applied to group of patients with Stage II or Stage III disease and primary end point was 5-year survival (and mortality). We also report results of Stage I-III for comparison.
RESULTS: We identified 15,731 newly diagnosed colorectal cancers during study period, among which a total of 10,517 colorectal cancer patients treated at 32 hospitals fulfilled the inclusion criteria. Pathology reports of about 63 % (6658/10517) patients revealed lymph node retrieval >12. After propensity score matching, there were 2888, 1079, 1094 pairs recruited for Stage I-III, Stage II and Stage III, respectively. According to analysis of these matched pairs, the 5-year risk adjusted overall mortality were lower for lymph node examined ≥12 than <12 among Stage II (24.3% vs. 31.1%, p=0.012) and Stage I-III (20.8% vs. 23.6%, p=0.003), but insignificant for Stage III (40.2% vs. 45.6%, p=0.073). Similar situation happened with regard to disease-free and disease-specific mortality.
CONCLUSION: For patients with colorectal cancer undergoing colorectal surgery, the quality metric of lymph node is associated with significantly better 5-year survival except for Stage III disease.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22221938     DOI: 10.1016/j.suronc.2011.12.003

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  6 in total

1.  Can composite performance measures predict survival of patients with colorectal cancer?

Authors:  Kuo-Piao Chung; Li-Ju Chen; Yao-Jen Chang; Yun-Jau Chang
Journal:  World J Gastroenterol       Date:  2014-11-14       Impact factor: 5.742

2.  Estimating the treatment effect from non-randomized studies: The example of reduced intensity conditioning allogeneic stem cell transplantation in hematological diseases.

Authors:  Matthieu Resche-Rigon; Romain Pirracchio; Marie Robin; Regis Peffault De Latour; David Sibon; Lionel Ades; Patricia Ribaud; Jean-Paul Fermand; Catherine Thieblemont; Gérard Socié; Sylvie Chevret
Journal:  BMC Blood Disord       Date:  2012-08-16

3.  Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection.

Authors:  Yun-Jau Chang; Li-Ju Chen; Yao-Jen Chang; Kuo-Piao Chung; Mei-Shu Lai
Journal:  BMC Med Res Methodol       Date:  2012-01-03       Impact factor: 4.615

4.  Recursive partitioning analysis of lymph node ratio in breast cancer patients.

Authors:  Yao-Jen Chang; Kuo-Piao Chung; Li-Ju Chen; Yun-Jau Chang
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

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

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
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

6.  Tumor sidedness influences prognostic impact of lymph node metastasis in colon cancer patients undergoing curative surgery.

Authors:  Hsin-Wu Lai; James Cheng-Chung Wei; Hung-Chang Hung; Chun-Che Lin
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  6 in total

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