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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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characteristic (ROC) analysis was assessed in both the train and testing sets, respectively. Furthermore, the performance of the predictive model was also assessed by the net reclassification improvement (NRI) and integrated discrimination improvement (IDI

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0370
Volume/Issue:
Volume 9: Issue 12
Open access
Huda M Elsharkasi Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Suet C Chen Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Lewis Steell Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Shuko Joseph Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK
Paediatric Neurosciences Research Group, Royal Hospital for Children, NHS Greater Glasgow & Clyde, Glasgow, UK

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Naiemh Abdalrahaman Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Christie McComb Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Blair Johnston Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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John Foster Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Sze Choong Wong Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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S Faisal Ahmed Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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microarchitecture included age, height and BMI as predictors. The cortical geometry models included age, sex, height, BMI and muscle CSA as predictors. Model for MFF included age, weight and BMI, whereas models for other muscle parameters included age, sex, height

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-22-0034
Volume/Issue:
Volume 11: Issue 7
Open access
Feifei Shao Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Xinxin Hu Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Jiayu Li Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Bona Bai Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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evaluations. (A, C, E) The expression levels of potential biomarkers in different groups. (B, D, F) Receiver operating characteristic area under the curves (AUCs) for sensitivity and specificity of the predictive models for discriminating IGT and normal, T2DM

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0212
Volume/Issue:
Volume 12: Issue 12
Open access
Magdalena Zgliczyńska Department of Obstetrics, Perinatology and Neonatology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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Magdalena Ostrowska Department of Endocrinology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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Kinga Żebrowska Department of Obstetrics, Perinatology and Neonatology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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Iwona Szymusik Department of Obstetrics, Perinatology and Neonatology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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Konrad Kowalski Masdiag Sp. z o.o., Stefana Żeromskiego, Warsaw, Poland

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Dorota Leszczyńska Department of Endocrinology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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Katarzyna Kosińska-Kaczyńska Department of Obstetrics, Perinatology and Neonatology, Centre of Postgraduate Medical Education, Cegłowska, Warsaw, Poland

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seem so prominent that there are even attempts to create predictive models aimed at standardizing historical data from studies in which immunoassays were mainly used ( 37 ). Nevertheless, the positive correlation between the concentration of 25(OH)D in

Article Type:
Research Article
Collections:
Reproduction
DOI:
https://doi.org/10.1530/EC-23-0201
Volume/Issue:
Volume 12: Issue 11
Open access
Maria Luisa Garo Mathsly Research, Roma, Italy

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Désirée Deandreis Division of Nuclear Medicine, Department of Medical Sciences, AOU Città della Salute e della Scienza, University of Turin, Turin, Italy

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Alfredo Campennì Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy

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Alexis Vrachimis Department of Nuclear Medicine, German Oncology Center, University Hospital of the European University, Limassol, Cyprus

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Petra Petranovic Ovcaricek Department of Oncology and Nuclear Medicine, University Hospital Center Sestre Milosrdnice, Zagreb, Croatia

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Luca Giovanella Clinic for Nuclear Medicine and Molecular Imaging, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
Clinic for Nuclear Medicine, University Hospital of Zürich, Zürich, Switzerland

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external validation was large. Of 20 nomograms, only 6 had external validation and none of the models was validated externally for LLNM. The lack of external validation represents a common problem in many studies using predictive models ( 63 , 64 ) and is

Article Type:
Research Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-22-0457
Volume/Issue:
Volume 12: Issue 4
Open access