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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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), focus on identifying high-risk tumors and do not precisely aim to reduce the risk of overdiagnosis ( 23 , 24 ). In recent years, nomograms have been proposed as an alternative to conventional staging systems or even as new standards for many cancers

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Yuegui Wang Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China

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Liwei Hong Department of Nuclear Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China

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Caiyun Yang Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China

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Guorong Lv School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
Quanzhou Medical College, Quanzhou, Fujian, China

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Kangjian Wang Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China

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Xuepeng Huang Department of Nuclear Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China

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Haolin Shen Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China

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model‘s discriminating performance was assessed through receiver operator characteristic analysis, and its calibrating performance was evaluated using the Brier score. The model underwent internal validation through bootstrap resampling, and a nomogram

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Lian Duan Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China

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Han-Yu Zhang Changzhi Medical College, Changzhi, Shanxi, China

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Min Lv Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China

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Han Zhang Changzhi Medical College, Changzhi, Shanxi, China

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Yao Chen Changzhi Medical College, Changzhi, Shanxi, China

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Ting Wang Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China

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Yan Li Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China

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Yan Wu Department of Clinical Laboratory, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China

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Junfeng Li Department of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China

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Kefeng Li School of Medicine, University of California, San Diego, California, USA

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for the prediction of GD patients with the occurrence of early HT within 6 months after RAI. The prognostic accuracy of the developed model was further validated in another cohort, and a clinician-friendly nomogram was then established to compute the

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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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AC Shi WH & Jiang Y . Papillary thyroid microcarcinoma: a nomogram based on clinical and ultrasound features to improve the prediction of lymph node metastases in the central compartment . Frontiers in Endocrinology (Lausanne) 2021 12 770824

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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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Li H Cao H Sun L Development and validation of nomogram to predict acute kidney injury in patients with acute myocardial infarction treated invasively . Scientific Reports 2018 8 9769. ( https://doi.org/10.1038/s41598-018-28088-4 ) 14 Sun

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