ArticleCancers2020
Optimal Body Mass Index Cut-off Point for Predicting Colorectal Cancer Survival in an Asian Population: A National Health Information Database Analysis.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Mendelian randomization unraveled: gender-specific insights into obesity-related phenotypes and colorectal cancer susceptibility.Frontiers in endocrinology · 2024Article
- Operational Definitions of Colorectal Cancer in the Korean National Health Insurance Database.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023Review
- Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study.BMC gastroenterology · 2023Article
- Preoperative carcinoembryonic antigen to body mass index ratio contributes to prognosis prediction in colorectal cancer.Oncology letters · 2022Article
- Association of Body Mass Index with Survival in Asian Patients with Colorectal Cancer.Cancer research and treatment · 2022Article
- Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort.Cancers · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The optimal body mass index (BMI) range for predicting survival in Asian colorectal cancer patients is unknown. We established the most appropriate cut-off point of BMI to predict better survival in Asian colorectal cancer patients using a two-stage approach. Two cohorts of colorectal cancer patients were included in this study: 5815 hospital-based development cohort and 54,043 nationwide validation cohort. To determine the optimal BMI cut-off point at diagnosis, the method of Contal and O'Quigley was used. We evaluated the association between BMI and overall survival (OS) using the Cox proportional hazard model. During a median follow-up of 5.7 and 5.1 years for the development and the validation cohort, 1180 (20.3%) and 10,244 (19.0%) deaths occurred, respectively. The optimal cut-off of BMI identified as 20.2 kg/m
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Registered trials
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