Prediagnosis Smoking, Obesity, Insulin Resistance, and Second Primary Cancer Risk in Male Cancer Survivors: National Health Insurance Corporation Study

2007 ◽  
Vol 25 (30) ◽  
pp. 4835-4843 ◽  
Author(s):  
Sang Min Park ◽  
Min Kyung Lim ◽  
Kyu Won Jung ◽  
Soon Ae Shin ◽  
Keun-Young Yoo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Health Insurance ◽  
Cancer Survivors ◽  
National Health Insurance ◽  
National Health ◽  
Smoking History ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer

Purpose Smoking, obesity, and insulin resistance are well-known risk factors for cancer, yet few epidemiology studies evaluate their role as risk factors for a second primary cancer (SPC). Patients and Methods We identified 14,181 men with a first cancer from the National Health Insurance Corporation Study cohort. We obtained data on fasting glucose level, body mass index (BMI), and smoking history from an enrollment interview (1996). We obtained SPC incidence data for 1996 through 2002 from the Korean Central Cancer Registry. We used the standard Poisson regression model to estimate the age- and multivariate-adjusted relative risk (RR) for SPCs in relation to smoking history, BMI, and insulin resistance before diagnosis. Results We observed 204 patients with SPC. The overall age-standardized incidence rate of SPC was 603.2 occurrences per 100,000 person-years, which was about 2.3 times higher than that of first cancer in the general male population. Multivariate regression revealed that lung (RR, 3.69; 95% CI, 1.35 to 10.09) and smoking-related (RR, 2.02; 95% CI, 1.02 to 4.03) SPCs were significantly associated with smoking. Obese patients (BMI ≥ 25 kg/m2) had significantly elevated RRs for colorectal (RR, 3.45; 95% CI, 1.50 to 7.93) and genitourinary (RR, 3.61; 95% CI, 1.36 to 9.54) SPCs. Patients with a fasting serum glucose concentration ≥ 126 mg/dL had a higher RR for hepatopancreatobiliary (RR, 3.33; 95% CI, 1.33 to 8.37) and smoking-related (1.93; 95% CI, 1.01 to 3.68) SPCs. Conclusion Prediagnosis smoking history, obesity, and insulin resistance were risk factors for several SPCs. These findings suggest that more thorough surveillance and screening for SPCs is needed for the cancer survivors with these risk factors.

scholarly journals Risk factors and prediction of second primary cancer in primary female non-metastatic breast cancer survivors

Aging ◽  
2020 ◽  
Vol 12 (19) ◽  
pp. 19628-19640
Author(s):  
Xiwen Qian ◽  
Huixun Jia ◽  
Yue Zhang ◽  
Bingqing Ma ◽  
Guoyou Qin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Metastatic Breast Cancer ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Metastatic Breast ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer

scholarly journals 239Incidence and potential risk factors of a second primary cancer among 217,702 colorectal cancer survivors

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yingju Tseng ◽  
Linda Liang ◽  
Stefanie J Klug
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Cancer Survivors ◽  
Potential Risk ◽  
Tumour Size ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer ◽  
Increased Risk ◽  
Potential Risk Factors

Abstract Background Survival of colorectal cancer (CRC) has improved markedly but risk of an independent second primary cancer (SPC) increases. We determined incidence and potential risk factors of SPC following CRC. Methods We obtained data from 217,202 CRC cases (ICD-10 C18-C20, aged ≥20 years) diagnosed between 1990-2013 from the German Centre for Cancer Registry Data. Cancers arising in a distinct site (excluding non-melanoma skin cancer) and/or of a different histology group were classified as SPCs. Standardised incidence ratios (SIR) and 95% confidence intervals compared the excess risk to the general population, stratified by age, sex and CRC sub-site. Cox proportional hazards models identified potential risk factors of SPC. Results Following CRC (median age 70 years), 18,751 SPCs occurred (8.63%; median age 69 years). SPC incidence increased by 36% in males (SIR: 1.36 [1.34-1.38]), 46% in females (SIR: 1.46 [1.43-1.49]) and doubled for cases <65 years (SIR: 2.08 [1.99-2.17]). Common SPC sites following colon cancer included the small intestine, stomach, liver, pancreas, bladder and kidney. Common male-specific sites included prostate and in females: breast, uterus and ovary. Similar sites were observed following rectal cancer, particularly in cases <65 years. Age, male sex and tumour size (T1, T2) were potential risk factors of SPC. Therapy of CRC (including radiotherapy) did not demonstrate an elevated risk. Conclusions CRC survivors have an increased risk of SPC, particularly due to age, sex and tumour size. Key messages Colorectal cancer survivors have an increased risk of a SPC. Age, sex and tumour size are associated risk factors.

scholarly journals Relationship Between the Triglyceride-glucose Index and Incident Ischemic Heart Disease Risk: A Prospective Study Using National Health Insurance Data

2020 ◽  
Author(s):  
Byoungjin Park ◽  
Yong-Jae Lee ◽  
Hye Sun Lee ◽  
Dong-Hyuk Jung
Keyword(s):  
Insulin Resistance ◽  
Heart Disease ◽  
Health Insurance ◽  
Ischemic Heart Disease ◽  
National Health Insurance ◽  
National Health ◽  
Ischemic Heart ◽  
Health Insurance Data ◽  
Tyg Index ◽  
Insurance Data

Abstract Background: Ischemic heart disease (IHD) without diabetes is considered an important challenge to human health and is associated with a poor prognosis as well as a lack of health awareness. Until now, the association between early insulin resistance and IHD among nondiabetic adults has been poorly understood. We prospectively investigated the relationship between the triglyceride-glucose (TyG) index, a surrogate marker of early insulin resistance, and incident IHD risk in a large cohort of nondiabetic adults using National Health Insurance data. Methods: We assessed 16,455 participants (8,426 men and 8,029 women) without diabetes using data from a health risk assessment study (HERAS) and Korea Health Insurance Review & Assessment (HIRA) data. The participants were divided into four groups according to TyG index quartiles, calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. We prospectively assessed hazard ratios (HRs) with 95% confidence intervals (CIs) for IHD, using multivariate Cox proportional-hazards regression models, over a 50-month period that followed the baseline survey.Results: During the follow-up period, 322 (2.0%) participants developed IHD. HRs of IHD for TyG index quartiles 1–4 were 1.00, 1.63 (95% CI, 1.06–2.49), 1.88 (95% CI, 1.23–2.87), and 2.35 (95% CI, 1.53–3.61), respectively, after adjusting for age, sex, body mass index, smoking status, alcohol intake, physical activity, high sensitivity C-reactive protein, and mean arterial blood pressure.Conclusion: A higher TyG index precedes and significantly predicts future IHD among nondiabetic Koreans. Accordingly, a high TyG index may be a useful additional measure in assessing cardiovascular risks for apparently healthy adults in clinical practice.

Development of an Algorithm for Stroke Prediction: A National Health Insurance Database Study in Korea

2018 ◽  
Vol 79 (3-4) ◽  
pp. 214-220 ◽  
Author(s):  
Seung Nam Min ◽  
Se Jin Park ◽  
Dong Joon Kim ◽  
Murali Subramaniyam ◽  
Kyung-Sun Lee
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Stroke Prevention ◽  
Normal Subjects ◽  
Control Group ◽  
Modifiable Risk Factors ◽  
Stroke Patients

Background: Stroke is the second leading cause of death worldwide and remains an important health burden both for the individuals and for the national healthcare systems. Potentially modifiable risk factors for stroke include hypertension, cardiac disease, diabetes, and dysregulation of glucose metabolism, atrial fibrillation, and lifestyle factors. Objects: We aimed to derive a model equation for developing a stroke pre-diagnosis algorithm with the potentially modifiable risk factors. Methods: We used logistic regression for model derivation, together with data from the database of the Korea National Health Insurance Service (NHIS). We reviewed the NHIS records of 500,000 enrollees. For the regression analysis, data regarding 367 stroke patients were selected. The control group consisted of 500 patients followed up for 2 consecutive years and with no history of stroke. Results: We developed a logistic regression model based on information regarding several well-known modifiable risk factors. The developed model could correctly discriminate between normal subjects and stroke patients in 65% of cases. Conclusion: The model developed in the present study can be applied in the clinical setting to estimate the probability of stroke in a year and thus improve the stroke prevention strategies in high-risk patients. The approach used to develop the stroke prevention algorithm can be applied for developing similar models for the pre-diagnosis of other diseases.

Development of a model to predict the 10-year cumulative risk of second primary cancer among cancer survivors

2017 ◽  
Vol 47 ◽  
pp. 35-41 ◽  
Author(s):  
Marie Moitry ◽  
Michel Velten ◽  
Brigitte Trétarre ◽  
Simona Bara ◽  
Laetitia Daubisse-Marliac ◽  
...  
Keyword(s):  
Cancer Survivors ◽  
Cumulative Risk ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer

Development of second primary cancers in breast cancer survivors.

2016 ◽  
Vol 34 (3_suppl) ◽  
pp. 257-257
Author(s):  
Hong Kyu Jung ◽  
Jihyoun Lee ◽  
Zisun Kim ◽  
Min Hyuk Lee ◽  
Ilkyun Lee
Keyword(s):  
Breast Cancer ◽  
Endometrial Cancer ◽  
Thyroid Cancer ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer ◽  
Breast Cancer Patients ◽  
Second Primary Cancers

257 Background: Breast cancer survivors have slightly increased risk of second primary cancers. Importance of screening for second cancers has been raised due to increased survival in those populations. Not only having genetic risk such as BRCA mutation, but also treatment-related risk presents. The most common second primary cancer is breast cancer. Colon cancer, uterine cancer, and ovarian cancer showed increased cumulative incidence. In this study, we assessed development second primary cancers in breast cancer survivors. Methods: Medical record of breast cancer patients was reviewed retrospectively in three tertiary medical institutions. Available data of ICD-9 record after breast cancer diagnosis was evaluated. Diagnosis of second primary breast cancer was excluded in evaluation. Results: Since Jan 1989 to Jan 2014, available medical records were reviewed in breast cancer patients(N = 5880) in three institutions(one urban and the other two rural institutions). Cumulative incidence of overall second primary cancers was 4.57%. Among 269 second primary cancers, thyroid cancer(44.2%) was most common second primary cancer, followed by gastric cancer(10.0%). Gastric cancers were more common in rural institution than urban area(14.2 % vs 5.5%), while incidence of thyroid cancer is elevated in urban institution(57.8% vs 31.9%). Among 9 patients who has been diagnosed endometrial cancer, 7 patients had history of selective estrogen receptor modulator(tamoxifen or toremifen) treatment. Development of lung cancer was not related to breast cancer radiation treatment(4 of 15 patients). Leukemia after breast cancer treatment was diagnosed in 5 patients (8.5% of second primary cancers), three of them were adult T cell leukemia and two of them were acute myeloid leukemia. Conclusions: Incidence of cancer in general population was reflected to development of second primary cancer in breast cancer survivors. Endocrine treatment was related increased incidence of endometrial cancer, respectively. Application of personalized cancer screening plan would be important in this patient group.

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