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Julia Otten Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden

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Andreas Stomby Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
Region Jönköping County, Jönköping, Sweden

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Maria Waling Department of Food, Nutrition and Culinary Science, Umeå University, Umeå, Sweden

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Elin Chorell Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden

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Mats Ryberg Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden

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Michael Svensson Department of Community Medicine and Rehabilitation, Section for Sports Medicine, Umeå University, Umeå Sweden

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Jens Juul Holst NNF Center for Basic Metabolic Research and Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark

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Tommy Olsson Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden

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.05) with 80% power. The results described in the present paper are secondary outcome measures. Patients were randomized to either the diet group or the diet and exercise group by a statistician not involved in the study, using biased coin minimization with

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0171
Volume/Issue:
Volume 10: Issue 9
Open access
Nidan Qiao Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA

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introduction to the discussion was also provided for future studies. Though machine learning methods have the potential advantage of increasing the prediction power, researchers should always focus on the clinical questions. The unmet needs in current

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0156
Volume/Issue:
Volume 8: Issue 7
Open access
Kristin Godang Section of Specialized Endocrinology, Oslo University Hospital, Oslo, Norway

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Karolina Lundstam Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden

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Charlotte Mollerup Clinic of Breast and Endocrine Surgery, Center HOC, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

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Stine Lyngvi Fougner Department of Endocrinology, St. Olavs Hospital, Trondheim, Norway

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Ylva Pernow Departments of Molecular Medicine, Surgery and Endocrinology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden

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Jörgen Nordenström Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden

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Thord Rosén Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden

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Svante Jansson Department of Endocrine Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden

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Mikael Hellström Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden

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Jens Bollerslev Section of Specialized Endocrinology, Oslo University Hospital, Oslo, Norway
Faculty of Medicine, University of Oslo, Oslo, Norway

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Ansgar Heck Section of Specialized Endocrinology, Oslo University Hospital, Oslo, Norway
Faculty of Medicine, University of Oslo, Oslo, Norway

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the SIPH Study Group
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time (OBS vs PTX). Variable OBS/PTX OBS PTX OBS vs PTX Power 80%*** n Baseline ± s.d. (25%; 75%) 5 years ± s.d. (25%; 75%) P 0 vs 5 years Baseline ± s.d. (25%; 75%) 5 years ± s.d. (25%; 75%) P 0 vs 5

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0259
Volume/Issue:
Volume 7: Issue 8
Open access
Shane M Regnier Committee on Molecular Metabolism and Nutrition, Chicago, Illinois, USA
Pritzker School of Medicine, Chicago, Illinois, USA
University of Chicago, Chicago, Illinois, USA

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Andrew G Kirkley University of Chicago, Chicago, Illinois, USA
Committee on Molecular Pathogenesis and Molecular Medicine, Chicago, Illinois, USA

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Daniel Ruiz Committee on Molecular Metabolism and Nutrition, Chicago, Illinois, USA
University of Chicago, Chicago, Illinois, USA

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Wakanene Kamau University of Chicago, Chicago, Illinois, USA

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Qian Wu Wadsworth Center, New York Department of Health, Albany, New York, USA

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Kurunthachalam Kannan Wadsworth Center, New York Department of Health, Albany, New York, USA

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Robert M Sargis Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA

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adiposity relative to the HFHSD controls ( Fig. 2C ). Histologic analysis of perigonadal/epididymal adipose tissue identified a significant increase in the number of adipocytes per high-power field (hpf) in the TF-treated group ( Fig. 2D ). Despite this

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0320
Volume/Issue:
Volume 7: Issue 1
Open access
Michelle J Galvan Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Michael J Sanchez Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Andrew J McAinch Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia
Australian Institute for Musculoskeletal Science (AIMSS), Victoria University, Melbourne, Victoria, Australia

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Jeffrey D Covington Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts, USA

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Jason B Boyle Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Sudip Bajpeyi Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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reliant on whole-body fat oxidation during exercise and are more metabolically flexible ( 4 ). It is possible that our study, despite detecting changes in blood lactate levels, was not appropriately powered to detect changes in energy expenditure and whole

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-21-0533
Volume/Issue:
Volume 11: Issue 2
Open access
Yujie Ren Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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Xue Han Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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Yujiang Li Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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Guofang Chen Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
Key Laboratory of TCM Syndrome and Treatment of Yingbing (Thyroid Disease) of State Administration of Traditional Chinese Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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Lin Jiang Department of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China

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Chao Liu Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
Key Laboratory of TCM Syndrome and Treatment of Yingbing (Thyroid Disease) of State Administration of Traditional Chinese Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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Shuhang Xu Endocrine and Diabetes Center, The Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China

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-guided MWA was performed by an experienced physician using an MWA system (KY-2000, Canyon Medical, Nanjing, China) consisting of a generator, a power distribution system, and an antenna as previously reported ( 21 ). A cooled shaft antenna with 1.6-mm

Article Type:
Research Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-23-0128
Volume/Issue:
Volume 12: Issue 9
Open access
Xiaowen Zhang Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Branch of National Clinical Research Centre for Metabolic Diseases, Endocrine and Metabolic Disease Medical Center, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China

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Chen Han Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Branch of National Clinical Research Centre for Metabolic Diseases, Endocrine and Metabolic Disease Medical Center, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China
Department of Endocrinology and Metabolism, Drum Tower Clinical Medical College, Southeast University, Nanjing, China

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Hongwei Wang State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Nanjing University School of Medicine, Nanjing, China

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Xinghong Sun Department of Ophthalmology, Nanjing University Medical School Affiliated Drum Tower Hospital, Nanjing, China

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Xin Dou Department of Radiology, Nanjing University Medical School Affiliated Drum Tower Hospital, Nanjing, China

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Xueying He Department of Radiology, Nanjing University Medical School Affiliated Drum Tower Hospital, Nanjing, China

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Di Wu Department of Radiology, Southeast University Medical School Affiliated Zhongda Hospital, Nanjing, China

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Shanmei Shen Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Branch of National Clinical Research Centre for Metabolic Diseases, Endocrine and Metabolic Disease Medical Center, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China

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Dalong Zhu Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Branch of National Clinical Research Centre for Metabolic Diseases, Endocrine and Metabolic Disease Medical Center, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China

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Xinlin Zhang Department of Cardiology, Nanjing University Medical School Affiliated Drum Tower Hospital, Nanjing, China

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Yan Bi Department of Endocrinology, Drum Tower Hospital affiliated to Nanjing University Medical School, Branch of National Clinical Research Centre for Metabolic Diseases, Endocrine and Metabolic Disease Medical Center, Drum Tower Hospital affiliated to Nanjing University Medical School, Nanjing, China

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predict their response to treatments. However, it remains unclear to which extent an incremental predictive power of NLR would improve the predictive value of CAS, e.g. in predicting response to therapy. Further prospective studies are needed

Article Type:
Research Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-22-0260
Volume/Issue:
Volume 11: Issue 11
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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cumulative variation ratio, which should be generally more than 80%. To comprehensively evaluate the discriminating power of models established based on the principal component regression models, the area under the curve (AUC) in the receiver operating

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0370
Volume/Issue:
Volume 9: Issue 12
Open access
Julia Kubiak Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway

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Per Medbøe Thorsby Department of Medical Biochemistry, Per Medbøe Thorsby, Hormone Laboratory, Oslo University Hospital, Aker, Norway

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Elena Kamycheva Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway

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Rolf Jorde Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway

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analysis. Power calculation The main endpoints in the study were effects on the cardiovascular risk factors blood pressure, serum lipids and insulin resistance. The power calculation was made on the assumption that those included would have a mean

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0144
Volume/Issue:
Volume 7: Issue 6
Open access
Yee-Ming M Cheung Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia
Division of Endocrinology, Diabetes and Metabolism, Northwell, Great Neck, New York, USA

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Rudolf Hoermann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Karen Van Department of Endocrinology, Austin Health, Melbourne, Australia

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Damian Wu Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Jenny Healy Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Bella Halim Department of Endocrinology, Austin Health, Melbourne, Australia

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Manjri Raval Department of Endocrinology, Austin Health, Melbourne, Australia

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Maria McGill Department of Radiology, Austin Health, Melbourne, Australia

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Ali Al-Fiadh Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Cardiology, Austin Health, Melbourne Australia

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Michael Chao Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Shane White Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Belinda Yeo Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia
Olivia Newton-John Cancer Research Institute, Austin Health, Melbourne, Australia

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Jeffrey D Zajac Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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Mathis Grossmann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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modified during the study period by non-study clinicians. All medication changes were recorded at each visit. Power analysis Our power analysis for our prespecified 12-month end point has previously been reported and published ( 22 ). In Brief

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0076
Volume/Issue:
Volume 12: Issue 10
Open access