Prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality is more evident in smokers: The FIESTA study
Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. Methods This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastri...
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Published in | Cancer medicine (Malden, MA) Vol. 12; no. 3; pp. 3419 - 3432 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
John Wiley & Sons, Inc
01.02.2023
John Wiley and Sons Inc Wiley |
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Abstract | Backgrounds
We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status.
Methods
This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow‐up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never‐smokers. Effect‐size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10‐fold cross‐validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4).
Results
Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never‐smokers. Median follow‐up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer‐specific mortality in smokers (HR [95% CI]: 2.73 [1.53–4.89], p < 0.001), but not in never‐smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40–4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer‐specific mortality (HR [95% CI]: 0.90 [0.88–0.91], p < 0.001), with 10‐fold cross‐validated AUROC being 0.82 (95% CI: 0.74–0.92).
Conclusions
Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk‐stratify gastric cancer patients who might experience serious postsurgical consequences.
Distribution of the total risk score with postsurgical survival rate after follow‐up (A), and Kaplan‐Meier curves by score groups in patients overall (B) and by cigarette smoking status (panel C in smokers and panel D in never‐smokers). MST, median survival time. Group 1 refers to patients with a total score ranging from 50 to 69; group 2 refers to patients with a total score ranging from 70 to 82; group 3 refers to patients with a total score ranging from 83 to 92. |
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AbstractList | Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. Methods This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow‐up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never‐smokers. Effect‐size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10‐fold cross‐validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4). Results Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never‐smokers. Median follow‐up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer‐specific mortality in smokers (HR [95% CI]: 2.73 [1.53–4.89], p < 0.001), but not in never‐smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40–4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer‐specific mortality (HR [95% CI]: 0.90 [0.88–0.91], p < 0.001), with 10‐fold cross‐validated AUROC being 0.82 (95% CI: 0.74–0.92). Conclusions Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk‐stratify gastric cancer patients who might experience serious postsurgical consequences. We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status.BACKGROUNDSWe aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status.This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow-up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never-smokers. Effect-size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10-fold cross-validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4).METHODSThis study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow-up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never-smokers. Effect-size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10-fold cross-validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4).Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never-smokers. Median follow-up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer-specific mortality in smokers (HR [95% CI]: 2.73 [1.53-4.89], p < 0.001), but not in never-smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40-4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer-specific mortality (HR [95% CI]: 0.90 [0.88-0.91], p < 0.001), with 10-fold cross-validated AUROC being 0.82 (95% CI: 0.74-0.92).RESULTSTotal 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never-smokers. Median follow-up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer-specific mortality in smokers (HR [95% CI]: 2.73 [1.53-4.89], p < 0.001), but not in never-smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40-4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer-specific mortality (HR [95% CI]: 0.90 [0.88-0.91], p < 0.001), with 10-fold cross-validated AUROC being 0.82 (95% CI: 0.74-0.92).Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer-specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk-stratify gastric cancer patients who might experience serious postsurgical consequences.CONCLUSIONSOur findings showed that the prediction of presurgical metabolic syndrome for gastric cancer-specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk-stratify gastric cancer patients who might experience serious postsurgical consequences. We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow-up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never-smokers. Effect-size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10-fold cross-validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4). Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never-smokers. Median follow-up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer-specific mortality in smokers (HR [95% CI]: 2.73 [1.53-4.89], p < 0.001), but not in never-smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40-4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer-specific mortality (HR [95% CI]: 0.90 [0.88-0.91], p < 0.001), with 10-fold cross-validated AUROC being 0.82 (95% CI: 0.74-0.92). Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer-specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk-stratify gastric cancer patients who might experience serious postsurgical consequences. Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. Methods This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow‐up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never‐smokers. Effect‐size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10‐fold cross‐validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4). Results Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never‐smokers. Median follow‐up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer‐specific mortality in smokers (HR [95% CI]: 2.73 [1.53–4.89], p < 0.001), but not in never‐smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40–4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer‐specific mortality (HR [95% CI]: 0.90 [0.88–0.91], p < 0.001), with 10‐fold cross‐validated AUROC being 0.82 (95% CI: 0.74–0.92). Conclusions Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk‐stratify gastric cancer patients who might experience serious postsurgical consequences. Distribution of the total risk score with postsurgical survival rate after follow‐up (A), and Kaplan‐Meier curves by score groups in patients overall (B) and by cigarette smoking status (panel C in smokers and panel D in never‐smokers). MST, median survival time. Group 1 refers to patients with a total score ranging from 50 to 69; group 2 refers to patients with a total score ranging from 70 to 82; group 3 refers to patients with a total score ranging from 83 to 92. Abstract Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. Methods This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow‐up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never‐smokers. Effect‐size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10‐fold cross‐validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4). Results Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never‐smokers. Median follow‐up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer‐specific mortality in smokers (HR [95% CI]: 2.73 [1.53–4.89], p < 0.001), but not in never‐smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40–4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer‐specific mortality (HR [95% CI]: 0.90 [0.88–0.91], p < 0.001), with 10‐fold cross‐validated AUROC being 0.82 (95% CI: 0.74–0.92). Conclusions Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk‐stratify gastric cancer patients who might experience serious postsurgical consequences. Distribution of the total risk score with postsurgical survival rate after follow‐up (A), and Kaplan‐Meier curves by score groups in patients overall (B) and by cigarette smoking status (panel C in smokers and panel D in never‐smokers). MST, median survival time. Group 1 refers to patients with a total score ranging from 50 to 69; group 2 refers to patients with a total score ranging from 70 to 82; group 3 refers to patients with a total score ranging from 83 to 92. |
Author | Niu, Wenquan Hu, Dan Lin, Jinxiu Peng, Feng Zhang, Xinran Zheng, Xiongwei Deng, Xiangling Meng, Fanqiang |
AuthorAffiliation | 3 Department of Cardiology First Affiliated Hospital of Fujian Medical University Fuzhou China 1 Institute of Clinical Medical Sciences, China‐Japan Friendship Hospital Beijing China 2 Department of Pathology Fujian Cancer Hospital & Fujian Medical University Cancer Hospital Fuzhou China 4 Department of General Surgery China‐Japan Friendship Hospital Beijing China |
AuthorAffiliation_xml | – name: 1 Institute of Clinical Medical Sciences, China‐Japan Friendship Hospital Beijing China – name: 2 Department of Pathology Fujian Cancer Hospital & Fujian Medical University Cancer Hospital Fuzhou China – name: 4 Department of General Surgery China‐Japan Friendship Hospital Beijing China – name: 3 Department of Cardiology First Affiliated Hospital of Fujian Medical University Fuzhou China |
Author_xml | – sequence: 1 givenname: Xinran surname: Zhang fullname: Zhang, Xinran organization: Institute of Clinical Medical Sciences, China‐Japan Friendship Hospital – sequence: 2 givenname: Dan surname: Hu fullname: Hu, Dan organization: Fujian Cancer Hospital & Fujian Medical University Cancer Hospital – sequence: 3 givenname: Xiangling surname: Deng fullname: Deng, Xiangling organization: Institute of Clinical Medical Sciences, China‐Japan Friendship Hospital – sequence: 4 givenname: Jinxiu surname: Lin fullname: Lin, Jinxiu organization: First Affiliated Hospital of Fujian Medical University – sequence: 5 givenname: Xiongwei surname: Zheng fullname: Zheng, Xiongwei organization: Fujian Cancer Hospital & Fujian Medical University Cancer Hospital – sequence: 6 givenname: Feng surname: Peng fullname: Peng, Feng email: pengfengfuzhou@126.com organization: First Affiliated Hospital of Fujian Medical University – sequence: 7 givenname: Fanqiang surname: Meng fullname: Meng, Fanqiang email: mengfq75@163.com organization: China‐Japan Friendship Hospital – sequence: 8 givenname: Wenquan orcidid: 0000-0003-1715-3372 surname: Niu fullname: Niu, Wenquan email: niuwenquan_shcn@163.com organization: Institute of Clinical Medical Sciences, China‐Japan Friendship Hospital |
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Copyright | 2022 The Authors. published by John Wiley & Sons Ltd. 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | metabolic syndrome prediction gastric cancer risk score smoking |
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We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon... We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking... Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon... Distribution of the total risk score with postsurgical survival rate after follow‐up (A), and Kaplan‐Meier curves by score groups in patients overall (B) and... Abstract Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon... |
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SubjectTerms | Blood pressure Body mass index Cancer therapies Chemotherapy Cholesterol Cigarette smoking Cigarettes Colorectal cancer Diabetes Gastric cancer Gender Glucose Humans Lymphocytes Medical prognosis Metabolic Syndrome Metastasis Mortality Neutrophils prediction Predictions Prospective Studies Radiation therapy Risk assessment Risk Factors risk score Skin cancer Smokers Smoking Software Statistical analysis Statistical significance Stomach Neoplasms Surgery Survival Triglycerides Variables |
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Title | Prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality is more evident in smokers: The FIESTA study |
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