Literature DB >> 27196302

Analysis of Body Mass Index and Mortality in Patients With Colorectal Cancer Using Causal Diagrams.

Candyce H Kroenke1, Romain Neugebauer1, Jeffrey Meyerhardt2, Carla M Prado3, Erin Weltzien1, Marilyn L Kwan1, Jingjie Xiao3, Bette J Caan1.   

Abstract

IMPORTANCE: Physicians and investigators have sought to determine the relationship between body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) and colorectal cancer (CRC) outcomes, but methodologic limitations including sampling selection bias, reverse causality, and collider bias have prevented the ability to draw definitive conclusions.
OBJECTIVE: To evaluate the association of BMI at the time of, and following, colorectal cancer (CRC) diagnosis with mortality in a complete population using causal diagrams. DESIGN, SETTING, AND PARTICIPANTS: This retrospective observational study with prospectively collected data included a cohort of 3408 men and women, ages 18 to 80 years, from the Kaiser Permanente Northern California population, who were diagnosed with stage I to III CRC between 2006 and 2011 and who also had surgery. EXPOSURES: Body mass index at diagnosis and 15 months following diagnosis. MAIN OUTCOMES AND MEASURES: Hazard ratios (HRs) for all-cause mortality and CRC-specific mortality compared with normal-weight patients, adjusted for sociodemographics, disease severity, treatment, and prediagnosis BMI.
RESULTS: This study investigated a cohort of 3408 men and women ages 18 to 80 years diagnosed with stage I to III CRC between 2006 and 2011 who also had surgery. At-diagnosis BMI was associated with all-cause mortality in a nonlinear fashion, with patients who were underweight (BMI <18.5; HR, 2.65; 95% CI, 1.63-4.31) and patients who were class II or III obese (BMI ≥35; HR, 1.33; 95% CI, 0.89-1.98) exhibiting elevated mortality risks, compared with patients who were low-normal weight (BMI 18.5 to <23). In contrast, patients who were high-normal weight (BMI 23 to <25; HR, 0.77; 95% CI, 0.56-1.06), low-overweight (BMI 25 to <28; HR, 0.75; 95% CI, 0.55-1.04), and high-overweight (BMI 28 to <30; HR, 0.52; 95% CI, 0.35-0.77) had lower mortality risks, and patients who were class I obese (BMI 30 to <35) showed no difference in risk. Spline analysis confirmed a U-shaped relationship in participants with lowest mortality at a BMI of 28. Associations with CRC-specific mortality were similar. Associations of postdiagnosis BMI and mortality were also similar, but patients who were class I obese had significantly lower all-cause and cancer-specific mortality risks. CONCLUSIONS AND RELEVANCE: In this study, body mass index at the time of diagnosis and following diagnosis of CRC was associated with mortality risk. Though evidence shows that exercise in patients with cancer should be encouraged, findings suggest that recommendations for weight loss in the immediate postdiagnosis period among patients with CRC who are overweight may be unwarranted.

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Year:  2016        PMID: 27196302      PMCID: PMC5016213          DOI: 10.1001/jamaoncol.2016.0732

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  52 in total

Review 1.  An introduction to causal inference.

Authors:  Judea Pearl
Journal:  Int J Biostat       Date:  2010-02-26       Impact factor: 0.968

2.  Flexible regression models with cubic splines.

Authors:  S Durrleman; R Simon
Journal:  Stat Med       Date:  1989-05       Impact factor: 2.373

3.  Commentary: selection bias as an explanation for the obesity paradox: just because it's possible doesn't mean it's plausible.

Authors:  M Maria Glymour; Eric Vittinghoff
Journal:  Epidemiology       Date:  2014-01       Impact factor: 4.822

4.  Body mass index and risk of colorectal cancer in Chinese Singaporeans: the Singapore Chinese Health Study.

Authors:  Andrew O Odegaard; Woon Puay Koh; Mimi C Yu; Jian Min Yuan
Journal:  Cancer       Date:  2011-02-24       Impact factor: 6.860

5.  Body mass index and the risk of death following the diagnosis of colorectal cancer in postmenopausal women (United States).

Authors:  V Paul Doria-Rose; Polly A Newcomb; Libby M Morimoto; John M Hampton; Amy Trentham-Dietz
Journal:  Cancer Causes Control       Date:  2006-02       Impact factor: 2.506

6.  Recreational physical activity, body mass index, and survival in women with colorectal cancer.

Authors:  Josephina G Kuiper; Amanda I Phipps; Marian L Neuhouser; Rowan T Chlebowski; Cynthia A Thomson; Melinda L Irwin; Dorothy S Lane; Jean Wactawski-Wende; Lifang Hou; Rebecca D Jackson; Ellen Kampman; Polly A Newcomb
Journal:  Cancer Causes Control       Date:  2012-10-02       Impact factor: 2.506

7.  Obesity is an independent prognostic variable in colon cancer survivors.

Authors:  Frank A Sinicrope; Nathan R Foster; Daniel J Sargent; Michael J O'Connell; Cathryn Rankin
Journal:  Clin Cancer Res       Date:  2010-03-09       Impact factor: 12.531

8.  Comparison of associations of body mass index, abdominal adiposity, and risk of colorectal cancer in a large prospective cohort study.

Authors:  Marlen Keimling; Andrew G Renehan; Gundula Behrens; Beate Fischer; Albert R Hollenbeck; Amanda J Cross; Michael F Leitzmann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-05-29       Impact factor: 4.254

Review 9.  The role of tumor necrosis factor alpha in the pathophysiology of congestive heart failure.

Authors:  C F McTiernan; A M Feldman
Journal:  Curr Cardiol Rep       Date:  2000-05       Impact factor: 3.955

10.  Body weight, fat distribution and colorectal cancer risk: a report from cohort studies of 134255 Chinese men and women.

Authors:  H Li; G Yang; Y-B Xiang; X Zhang; W Zheng; Y-T Gao; X-O Shu
Journal:  Int J Obes (Lond)       Date:  2013-06       Impact factor: 5.095

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  49 in total

Review 1.  Survivorship Guidance for Patients with Colorectal Cancer.

Authors:  Jillian Simard; Suneel Kamath; Sheetal Kircher
Journal:  Curr Treat Options Oncol       Date:  2019-04-01

2.  Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations.

Authors:  Sarah A Purcell; Sarah A Elliott; Peter J Walter; Tom Preston; Hongyi Cai; Richard J E Skipworth; Michael B Sawyer; Carla M Prado
Journal:  Am J Clin Nutr       Date:  2019-08-01       Impact factor: 7.045

Review 3.  Modifiable Host Factors in Melanoma: Emerging Evidence for Obesity, Diet, Exercise, and the Microbiome.

Authors:  Allison Betof Warner; Jennifer L McQuade
Journal:  Curr Oncol Rep       Date:  2019-07-01       Impact factor: 5.075

4.  Incorporating Weight Management into Clinical Care for Cancer Survivors: Challenges, Opportunities, and Future Directions.

Authors:  Rishi Jain; Crystal S Denlinger
Journal:  Obesity (Silver Spring)       Date:  2017-11       Impact factor: 5.002

Review 5.  The Plausibility of Obesity Paradox in Cancer-Point.

Authors:  Yikyung Park; Lindsay L Peterson; Graham A Colditz
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

6.  Body mass index and mortality in patients with gastric cancer: a large cohort study.

Authors:  Jung Hwan Lee; Boram Park; Jungnam Joo; Myeong-Cherl Kook; Young-Il Kim; Jong Yeul Lee; Chan Gyoo Kim; Il Ju Choi; Bang Wool Eom; Hong Man Yoon; Keun Won Ryu; Young-Woo Kim; Soo-Jeong Cho
Journal:  Gastric Cancer       Date:  2018-04-12       Impact factor: 7.370

Review 7.  The Plausibility of the Obesity Paradox in Cancer-Response-Reply to Point.

Authors:  Elizabeth M Cespedes Feliciano; Candyce H Kroenke; Bette J Caan
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

Review 8.  The Importance of Body Composition in Explaining the Overweight Paradox in Cancer-Counterpoint.

Authors:  Bette J Caan; Elizabeth M Cespedes Feliciano; Candyce H Kroenke
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

9.  Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study).

Authors:  Bette J Caan; Jeffrey A Meyerhardt; Candyce H Kroenke; Stacey Alexeeff; Jingjie Xiao; Erin Weltzien; Elizabeth Cespedes Feliciano; Adrienne L Castillo; Charles P Quesenberry; Marilyn L Kwan; Carla M Prado
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-05-15       Impact factor: 4.254

10.  Metabolic Dysfunction, Obesity, and Survival Among Patients With Early-Stage Colorectal Cancer.

Authors:  Elizabeth M Cespedes Feliciano; Candyce H Kroenke; Jeffrey A Meyerhardt; Carla M Prado; Patrick T Bradshaw; Andrew J Dannenberg; Marilyn L Kwan; Jingjie Xiao; Charles Quesenberry; Erin K Weltzien; Adrienne L Castillo; Bette J Caan
Journal:  J Clin Oncol       Date:  2016-10-20       Impact factor: 44.544

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