Charlotte Höybye
Charlotte Höybye
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
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Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
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Erik Wahlström
Erik Wahlström
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
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Petra Tollet-Egnell
Petra Tollet-Egnell
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
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Gunnar Norstedt
Gunnar Norstedt
Department of Endocrinology, Department of Molecular Medicine and Surgery, Metabolism and Diabetology, Karolinska University Hospital, 171 76 Stockholm, Sweden
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pairwise models. The Y-vector was u.v.-scaled before analysis. The predictive models could not be built between treated and untreated GHD patients, but there were clear multivariate differences between GHD subjects and healthy controls ( Fig. 1 C). The
Lingjuan Li
Lingjuan Li
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Jing Qin
Jing Qin
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Lin Ren
Lin Ren
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Shiyuan Xiang
Shiyuan Xiang
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Xiaoyun Cao
Xiaoyun Cao
Department of Neurosurgery, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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Xianglan Zheng
Xianglan Zheng
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Zhiwen Yin
Zhiwen Yin
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Nidan Qiao
Nidan Qiao
Department of Neurosurgery, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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, the use of machine learning to build predictive models has become increasingly popular in medical research. Its advantages involve automatic selection of information variables, capturing nonlinear relationships among variables, and improving predictive
Yutong Zou
Yutong Zou
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Lijun Zhao
Lijun Zhao
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Junlin Zhang
Junlin Zhang
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Yiting Wang
Yiting Wang
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Yucheng Wu
Yucheng Wu
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Honghong Ren
Honghong Ren
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Tingli Wang
Tingli Wang
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Rui Zhang
Rui Zhang
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Jiali Wang
Jiali Wang
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Yuancheng Zhao
Yuancheng Zhao
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Chunmei Qin
Chunmei Qin
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Huan Xu
Huan Xu
Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Lin Li
Lin Li
Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Zhonglin Chai
Zhonglin Chai
Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
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Mark E Cooper
Mark E Cooper
Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
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Nanwei Tong
Nanwei Tong
Division of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Fang Liu
Fang Liu
Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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the predictive model for ESRD. Clinical and laboratory characteristics The following baseline clinical and laboratory characteristics were collected: age, sex, blood urea nitrogen (BUN), 24-h urine: urinary total protein (UTP), serum
Tomaž Kocjan
Tomaž Kocjan
Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia
Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Gaj Vidmar
Gaj Vidmar
Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
University Rehabilitation Institute, Ljubljana, Slovenia
FAMNIT, University of Primorska, Koper, Slovenia
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University Rehabilitation Institute, Ljubljana, Slovenia
FAMNIT, University of Primorska, Koper, Slovenia
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Peter Popović
Peter Popović
Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
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Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
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Milenko Stanković
Milenko Stanković
Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
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Clinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
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of patients should proceed to AVS ( 22 ). Primarily, we aimed to validate the diagnostic performance of the SPACE score and the accompanying predictive models for PA subtyping in our sizeable cohort of PA patients. Secondary objectives were to test
Yusen Liu
Yusen Liu
Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
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Ruiwen Chi
Ruiwen Chi
Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
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Yujie Jiang
Yujie Jiang
School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
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Bicheng Chen
Bicheng Chen
Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
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Youli Chen
Youli Chen
Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zengrui Chen
Zengrui Chen
Intensive Care Unit, The People’s Hospital of Yuhuan, Yuhuan, China
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present, though many types of biomarkers have been tested individually or in predictive models for GDM as well, such as adiponectin, sex hormone-binding globulin, and C-reactive protein ( 8 , 9 , 10 ), these parameters are also not available in most
Dong Cen
Dong Cen
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Hui Liu
Hui Liu
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhe Wan
Zhe Wan
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhongjie Lin
Zhongjie Lin
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Yanting Wang
Yanting Wang
Department of Internal Medicine, John H Stroger Hospital of Cook County, Chicago, Illinois, USA
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Junjie Xu
Junjie Xu
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Yuelong Liang
Yuelong Liang
Key Laboratory of Laparoscopic Technology of Zhejiang Province, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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predictive model in this study should be modified if these factors are available. Second, although this study contained the largest number of GB-NEN patients to date, GB-NEN studies of larger sample size are needed to confirm our findings. In future research
Victoria Chatzimavridou-Grigoriadou
Victoria Chatzimavridou-Grigoriadou
Department of Endocrinology, Christie Hospital NHS Foundation Trust, Manchester, UK
Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK
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Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK
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Lisa H Barraclough
Lisa H Barraclough
Department of Endocrinology, Christie Hospital NHS Foundation Trust, Manchester, UK
Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK
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Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK
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Rohit Kochhar
Rohit Kochhar
Department of Clinical Oncology, Christie Hospital NHS Foundation Trust, Manchester, UK
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Lucy Buckley
Lucy Buckley
Department of Radiology, Christie Hospital NHS Foundation Trust, Manchester, UK
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Nooreen Alam
Nooreen Alam
Department of Radiotherapy, Christie Hospital NHS Foundation Trust, Manchester, UK
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Claire E Higham
Claire E Higham
Department of Endocrinology, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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-6555(9880113-1 ) 15 Mir R Dragan AD Mistry HB Tsang YM Padhani AR & Hoskin P . Sacral insufficiency fracture following pelvic radiotherapy in gynaecological malignancies: development of a predictive model . Clinics in Oncology 2020 27 . ( https
Rongpeng Gong
Rongpeng Gong
Medical College, Qinghai University, Xining, People’s Republic of China
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Gang Luo
Gang Luo
College of Eco-Environmental Engineering, Qinghai University, Xining, People’s Republic of China
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Mingxiang Wang
Mingxiang Wang
Medical College, Qinghai University, Xining, People’s Republic of China
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Lingbo Ma
Lingbo Ma
Medical College, Qinghai University, Xining, People’s Republic of China
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Shengnan Sun
Shengnan Sun
Medical College, Qinghai University, Xining, People’s Republic of China
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Xiaoxing Wei
Xiaoxing Wei
Medical College, Qinghai University, Xining, People’s Republic of China
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of diagnostic or predictive models of IR. The clinical value of this study can be summarized as follows: (1) as far as we know, our study sample is larger than previous samples; (2) we performed logistic regression curve fitting to analyze the
Marta Araujo-Castro
Marta Araujo-Castro
Neuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal, Madrid, Spain
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Héctor Pian
Héctor Pian
Endocrinology Unit, Department of Pathology, Hospital Universitario Ramón y Cajal, Madrid, Spain
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Ignacio Ruz-Caracuel
Ignacio Ruz-Caracuel
Endocrinology Unit, Department of Pathology, Hospital Universitario Ramón y Cajal, Madrid, Spain
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Alberto Acitores Cancela
Alberto Acitores Cancela
Neuroendocrinology Unit, Department of Neurosurgery, Hospital Universitario Ramón y Cajal, Madrid, Spain
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Eider Pascual-Corrales
Eider Pascual-Corrales
Neuroendocrinology Unit, Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal, Madrid, Spain
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Víctor Rodríguez Berrocal
Víctor Rodríguez Berrocal
Neuroendocrinology Unit, Department of Neurosurgery, Hospital Universitario Ramón y Cajal, Madrid, Spain
Endoscopic Skull Base Unit, Department of Neurosurgery, Hospital Universitario HM Puerta del Sur, Madrid, Spain
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Endoscopic Skull Base Unit, Department of Neurosurgery, Hospital Universitario HM Puerta del Sur, Madrid, Spain
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. ( https://doi.org/10.1210/jc.2014-2700 ) 2 Araujo-Castro M Pascual-Corrales E Martínez-Vaello V Baonza Saiz G Quiñones de Silva J Acitores Cancela A García Cano AM Rodríguez Berrocal V Predictive model of surgical remission in acromegaly
Luca Boeri
Luca Boeri
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
Department of Urology, Foundation IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Department of Urology, Foundation IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Paolo Capogrosso
Paolo Capogrosso
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
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Walter Cazzaniga
Walter Cazzaniga
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Edoardo Pozzi
Edoardo Pozzi
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Luigi Candela
Luigi Candela
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Federico Belladelli
Federico Belladelli
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Davide Oreggia
Davide Oreggia
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Eugenio Ventimiglia
Eugenio Ventimiglia
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
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Nicolò Schifano
Nicolò Schifano
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Giuseppe Fallara
Giuseppe Fallara
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Marina Pontillo
Marina Pontillo
Laboratory Medicine Service, IRCCS Ospedale San Raffaele, Milan, Italy
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Costantino Abbate
Costantino Abbate
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
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Emanuele Montanari
Emanuele Montanari
Department of Urology, Foundation IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Francesco Montorsi
Francesco Montorsi
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Andrea Salonia
Andrea Salonia
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy
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University Vita-Salute San Raffaele, Milan, Italy
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Ippolito S Fossati N Alfano M Montorsi F , et al . When to perform karyotype analysis in infertile men? Validation of the european association of urology guidelines with the proposal of a new predictive model . European Urology 2016 70 920
