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Victor Jing-Wei Kang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Bo-Ching Lee Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Jia-Zheng Huang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Vin-Cent Wu Departments of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

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Yen-Hung Lin Departments of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

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Chin-Chen Chang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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TAIPAI group
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utilizing CT images. The present study aimed to investigate the influence of different subtypes of PA on urolithiasis, and we employed propensity score matching (PSM) analysis to balance possible confounding factors. Materials and methods Patient

Article Type:
Research Article
Collections:
Adrenal
DOI:
https://doi.org/10.1530/EC-23-0056
Volume/Issue:
Volume 12: Issue 9
Open access
Yanfei Chen Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

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Mei Li Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

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Binrong Liao Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

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Jingzi Zhong Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

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Dan Lan Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

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were matched to controls by using propensity score matching analysis to minimize the potential bias that could be caused by BMI. 1:1 nearest neighbor matching without replacement was performed with a caliper set at 0.01. Receiver operating

Article Type:
Research Article
Collections:
Reproduction
DOI:
https://doi.org/10.1530/EC-22-0028
Volume/Issue:
Volume 11: Issue 4
Open access
Ling Sun Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
Section of Pacing and Electrophysiology, Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China

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Wenwu Zhu Department of Cardiology, Xuzhou Central Hospital, Xuzhou Clinical School of Nanjing Medical University, Xuzhou, Jiangsu, China

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Yuan Ji Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China

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Ailin Zou Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China

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Lipeng Mao Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
Dalian Medical University, Dalian, Liaoning, China

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Boyu Chi Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
Dalian Medical University, Dalian, Liaoning, China

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Jianguang Jiang Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China

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Xuejun Zhou Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China

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Qingjie Wang Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China

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Fengxiang Zhang Section of Pacing and Electrophysiology, Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China

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1, P < 0.05, P trend  = 0.025) (Supplementary Table 1, see section on supplementary materials given at the end of this article). Figure 3 Balance checks of each variable after propensity score matching analysis. Standardized differences

Article Type:
Research Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-22-0120
Volume/Issue:
Volume 11: Issue 7
Open access
Shuang Wan Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
Department of Endocrinology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China

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Chengcheng Zheng Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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Tao Chen Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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Lu Tan Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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Jia Tang Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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Haoming Tian Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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Yan Ren Adrenal Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China

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aldosterone concentration; PH, primary hypertension; PRA, plasma renin activity; PSM, propensity score matching; TC, total cholesterol; TG, triglycerides; UA, uric acid. Comparison of Holter monitoring and HRV data of patients before and after PSM

Article Type:
Research Article
Collections:
Cardiovascular
DOI:
https://doi.org/10.1530/EC-23-0359
Volume/Issue:
Volume 12: Issue 12
Open access
Xiaohui Qi Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Ping He Shanghai Hospital Link Center, Shanghai Hospital Development Center, Shanghai, China

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Huayan Yao Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Huanhuan Sun Wonders Information Co. Ltd, Shanghai, China

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Jiying Qi Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Min Cao Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Bin Cui Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Guang Ning Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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ever-users and never-users in the original cohort, the propensity score matching (PSM) was used to create a PS-matched cohort (the matched cohort) of ever-users and never-users. The PS was created by multivariable logistic regression with all the

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-21-0546
Volume/Issue:
Volume 11: Issue 3
Open access
Yunting Lin Department of Surgical Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China

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Endi Song Department of Internal Medicine, Ningbo Yinzhou No.2 Hospital, Ningbo, Zhejiang, China

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Han Jin Department of Medicine, Ningbo University, Ningbo, Zhejiang, China

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Yong Jin Department of Internal Medicine, Ningbo Yinzhou No.2 Hospital, Ningbo, Zhejiang, China

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< 1400 cm/s) and case group (baPWV ≥ 1400 cm/s). We used the propensity score as a balancing score to adjust for confounding variables and match covariates between the two groups ( Fig. 1 ). Age matching was necessary since age is the critical factor for

Article Type:
Research Article
Collections:
Obesity
DOI:
https://doi.org/10.1530/EC-24-0190
Volume/Issue:
Volume 13: Issue 9
Open access
Marcus Quinkler Endocrinology in Charlottenburg, Berlin, Germany

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Bertil Ekman Departments of Endocrinology and Medical and Health Sciences, Linköping University, Linköping, Sweden

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Claudio Marelli Shire International GmbH, Zug, Switzerland

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Sharif Uddin Shire, Lexington, Massachusetts, USA

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Pierre Zelissen Department of Internal Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands

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Robert D Murray Department of Endocrinology, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK

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on behalf of the EU-AIR Investigators
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hydrocortisone group. Patients receiving prednisolone and hydrocortisone were matched on estimated propensity scores ( 22 ) using greedy matching algorithm to find the nearest available match in a 1:3 ratio for age, gender, duration and type of disease (SAI or

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-16-0081
Volume/Issue:
Volume 6: Issue 1
Open access
Leyre Lorente-Poch Endocrine Surgery Unit, Hospital del Mar, Barcelona, Spain
Departament de Cirurgia, Universitat Autònoma de Barcelona, Barcelona, Spain

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Sílvia Rifà-Terricabras Departament de Cirurgia, Universitat Autònoma de Barcelona, Barcelona, Spain

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Juan José Sancho Endocrine Surgery Unit, Hospital del Mar, Barcelona, Spain
Departament de Cirurgia, Universitat Autònoma de Barcelona, Barcelona, Spain

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Danilo Torselli-Valladares Endocrine Surgery Unit, Hospital del Mar, Barcelona, Spain

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Sofia González-Ortiz Department of Radiology, Hospital del Mar, Barcelona, Spain

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Antonio Sitges-Serra Endocrine Surgery Unit, Hospital del Mar, Barcelona, Spain
Departament de Cirurgia, Universitat Autònoma de Barcelona, Barcelona, Spain

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.d. Statistical significance was set at P < 0.05. Stepwise forward binomial logistic regression analysis was used to isolate the independent predicting factors for supra-aortic and basal ganglia calcifications. Propensity Score Matching was used to select a

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0387
Volume/Issue:
Volume 9: Issue 10
Open access
Tingting Xia Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Hongru Sun Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Hao Huang Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Haoran Bi Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Rui Pu Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Lei Zhang Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Yuanyuan Zhang Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Ying Liu Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Jing Xu Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Justina Ucheojor Onwuka Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Yupeng Liu Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Binbin Cui Department of Colorectal Surgery, The Third Hospital of Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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Yashuang Zhao Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of China

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using propensity scores adjusted. c P value calculated using propensity scores matching adjusted. Individuals with extreme propensity score are excluded (CRC, n  = 133 and control, n  = 178). Subgroup analysis of the associations

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0122
Volume/Issue:
Volume 8: Issue 7
Open access
Ju-shuang Li Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Tao Wang Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Jing-jing Zuo Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Cheng-nan Guo Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Fang Peng Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Shu-zhen Zhao Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Hui-hui Li Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Xiang-qing Hou Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China

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Yuan Lan Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
Department of Ophthalmology, Pingxiang People’s Hospital of Southern Medical University, Pingxiang, Jiangxi, China

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Ya-ping Wei Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China

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Chao Zheng The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China

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Guang-yun Mao Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China

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-control study, we matched 69 pairs of cases (DR group) and controls (DM group) for the main study at a 1:1 ratio based on age, sex, BMI and glycosylated hemoglobin using the propensity score matching (PSM) approach to adjust for potential confounding effects on

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0370
Volume/Issue:
Volume 9: Issue 12
Open access