Literature DB >> 20200428

Impact of socioeconomic status on extent of lymph node dissection for colon cancer.

Russell B McBride1, Benjamin Lebwohl, Dawn L Hershman, Alfred I Neugut.   

Abstract

BACKGROUND: The pathologic identification of 12 or more lymph nodes (LN) after colectomy for colon cancer became a quality indicator for surgery in 2001. We investigated whether this new standard of care was differentially adopted across racial and socioeconomic lines.
METHODS: We identified 111,339 stage I to III colon cancer patients identified as black or white in the Surveillance, Epidemiology, and End Results database from 1988 to 2004 who underwent colectomy. We did multivariable logistic regression to investigate the influence of race, area socioeconomic status (SES), and other clinical and demographic characteristics on the number of LNs examined.
RESULTS: Between 1988 and 2004, white patients were more likely than black patients to have > or =12 LNs identified (odds ratio, 1.06; 95% confidence interval, 1.02-1.10) after adjustment for age, year of diagnosis, sex, marital status, tumor grade, stage, and subsite within the colon. After adjustment for SES, race was no longer significant (adjusted odds ratio, 1.00; 95% confidence interval, 0.96-1.04). There was, however, a significant positive trend between a patient's SES and having > or =12 LNs examined (P(trend) < 0.0001), with a 30% increased odds comparing the highest to the lowest quintiles of SES. We found that the association between SES and the dissection of > or =12 LNs was only present in individuals diagnosed after 1999.
CONCLUSIONS: The association between high SES and the examination of > or =12 LNs was only apparent from 2000 onward, and coincides with its dissemination and acceptance as a new standard of care. This suggests that the emergence of LN dissection as a quality indicator may have been more rapidly disseminated into higher SES groups.

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Year:  2010        PMID: 20200428      PMCID: PMC3731033          DOI: 10.1158/1055-9965.EPI-09-1086

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  28 in total

1.  Socioeconomic status and breast cancer incidence in California for different race/ethnic groups.

Authors:  K Yost; C Perkins; R Cohen; C Morris; W Wright
Journal:  Cancer Causes Control       Date:  2001-10       Impact factor: 2.506

2.  Assigning a cause for a particular outcome in oncology: a serious note of caution.

Authors:  Maurie Markman
Journal:  Cancer       Date:  2008-08-15       Impact factor: 6.860

3.  Guidelines 2000 for colon and rectal cancer surgery.

Authors:  H Nelson; N Petrelli; A Carlin; J Couture; J Fleshman; J Guillem; B Miedema; D Ota; D Sargent
Journal:  J Natl Cancer Inst       Date:  2001-04-18       Impact factor: 13.506

4.  Outcomes among African-Americans and Caucasians in colon cancer adjuvant therapy trials: findings from the National Surgical Adjuvant Breast and Bowel Project.

Authors:  J J Dignam; L Colangelo; W Tian; J Jones; R Smith; D L Wickerham; N Wolmark
Journal:  J Natl Cancer Inst       Date:  1999-11-17       Impact factor: 13.506

5.  Number of nodes examined and staging accuracy in colorectal carcinoma.

Authors:  J H Wong; R Severino; M B Honnebier; P Tom; T S Namiki
Journal:  J Clin Oncol       Date:  1999-09       Impact factor: 44.544

6.  Cancer statistics, 2008.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Yongping Hao; Jiaquan Xu; Taylor Murray; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2008-02-20       Impact factor: 508.702

7.  Colon cancer survival is associated with increasing number of lymph nodes analyzed: a secondary survey of intergroup trial INT-0089.

Authors:  T E Le Voyer; E R Sigurdson; A L Hanlon; R J Mayer; J S Macdonald; P J Catalano; D G Haller
Journal:  J Clin Oncol       Date:  2003-08-01       Impact factor: 44.544

8.  Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project.

Authors:  Nancy Krieger; Jarvis T Chen; Pamela D Waterman; David H Rehkopf; S V Subramanian
Journal:  Am J Public Health       Date:  2003-10       Impact factor: 9.308

9.  Methodologic implications of social inequalities for analyzing health disparities in large spatiotemporal data sets: an example using breast cancer incidence data (Northern and Southern California, 1988--2002).

Authors:  Jarvis T Chen; Brent A Coull; Pamela D Waterman; Joel Schwartz; Nancy Krieger
Journal:  Stat Med       Date:  2008-09-10       Impact factor: 2.373

10.  Cancer mortality in the United States by education level and race.

Authors:  Jessica D Albano; Elizabeth Ward; Ahmedin Jemal; Robert Anderson; Vilma E Cokkinides; Taylor Murray; Jane Henley; Jonathan Liff; Michael J Thun
Journal:  J Natl Cancer Inst       Date:  2007-09-11       Impact factor: 13.506

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  13 in total

1.  Influence of socioeconomic status and hospital type on disparities of lymph node evaluation in colon cancer patients.

Authors:  Mei-Chin Hsieh; Cruz Velasco; Xiao-Cheng Wu; Lisa A Pareti; Patricia A Andrews; Vivien W Chen
Journal:  Cancer       Date:  2011-08-31       Impact factor: 6.860

2.  The influence of regional health system characteristics on the surgical management and receipt of post operative radiation therapy for glioblastoma multiforme.

Authors:  Sanjay Aneja; Dhruv Khullar; James B Yu
Journal:  J Neurooncol       Date:  2013-02-15       Impact factor: 4.130

3.  Influence of health insurance, hospital factors and physician volume on receipt of immediate post-mastectomy reconstruction in women with invasive and non-invasive breast cancer.

Authors:  D L Hershman; C A Richards; K Kalinsky; E T Wilde; Y S Lu; J A Ascherman; A I Neugut; J D Wright
Journal:  Breast Cancer Res Treat       Date:  2012-09-29       Impact factor: 4.872

4.  Racial disparities in the choice of definitive treatment for squamous cell carcinoma of the oral cavity.

Authors:  Carol M Lewis; Gaurav S Ajmani; Alexandra Kyrillos; Paul Chamberlain; Chi-Hsiung Wang; Cheryl C Nocon; Monica Peek; Mihir K Bhayani
Journal:  Head Neck       Date:  2018-06-26       Impact factor: 3.147

5.  Adherence to biopsy guidelines increases celiac disease diagnosis.

Authors:  Benjamin Lebwohl; Robert C Kapel; Alfred I Neugut; Peter H R Green; Robert M Genta
Journal:  Gastrointest Endosc       Date:  2011-05-20       Impact factor: 9.427

6.  Predictors of lymph node count in colorectal cancer resections: data from US nationwide prospective cohort studies.

Authors:  Teppei Morikawa; Noriko Tanaka; Aya Kuchiba; Katsuhiko Nosho; Mai Yamauchi; Jason L Hornick; Richard S Swanson; Andrew T Chan; Jeffrey A Meyerhardt; Curtis Huttenhower; Deborah Schrag; Charles S Fuchs; Shuji Ogino
Journal:  Arch Surg       Date:  2012-08

7.  Neighborhood socioeconomic status modifies the association between individual smoking status and PAH-DNA adduct levels in prostate tissue.

Authors:  Andrew Rundle; Catherine Richards; Christine Neslund-Dudas; Deliang Tang; Benjamin A Rybicki
Journal:  Environ Mol Mutagen       Date:  2012-03-29       Impact factor: 3.216

8.  Proposal of a new classification for stage III colorectal cancer based on the number and ratio of metastatic lymph nodes.

Authors:  Li-Ping Wang; Hong-Yan Wang; Rui Cao; Cong Zhu; Xiong-Zhi Wu
Journal:  World J Surg       Date:  2013-05       Impact factor: 3.352

9.  Colon cancer lymph node evaluation among military health system beneficiaries: an analysis by race/ethnicity.

Authors:  Abegail A Gill; Shelia H Zahm; Craig D Shriver; Alexander Stojadinovic; Katherine A McGlynn; Kangmin Zhu
Journal:  Ann Surg Oncol       Date:  2014-07-25       Impact factor: 5.344

10.  Effects of being uninsured or underinsured and living in extremely poor neighborhoods on colon cancer care and survival in California: historical cohort analysis, 1996-2011.

Authors:  Kevin M Gorey; Isaac N Luginaah; Eric J Holowaty; Guangyong Zou; Caroline Hamm; Emma Bartfay; Sindu M Kanjeekal; Madhan K Balagurusamy; Sundus Haji-Jama; Frances C Wright
Journal:  BMC Public Health       Date:  2012-10-24       Impact factor: 3.295

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