Yuegui Wang
Yuegui Wang
Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
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Liwei Hong
Liwei Hong
Department of Nuclear Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
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Caiyun Yang
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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School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
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Guorong Lv
Guorong Lv
School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
Quanzhou Medical College, Quanzhou, Fujian, China
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Quanzhou Medical College, Quanzhou, Fujian, China
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Kangjian Wang
Kangjian Wang
Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
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Xuepeng Huang
Xuepeng Huang
Department of Nuclear Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
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Haolin Shen
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
Lian Duan
Lian Duan
Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
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Han-Yu Zhang
Han-Yu Zhang
Changzhi Medical College, Changzhi, Shanxi, China
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Min Lv
Min Lv
Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
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Han Zhang
Han Zhang
Changzhi Medical College, Changzhi, Shanxi, China
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Yao Chen
Yao Chen
Changzhi Medical College, Changzhi, Shanxi, China
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Ting Wang
Ting Wang
Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
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Yan Li
Yan Li
Department of Nuclear Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
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Yan Wu
Yan Wu
Department of Clinical Laboratory, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China
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Junfeng Li
Junfeng Li
Department of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
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Kefeng Li
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
Xun Gong
Xun Gong
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Lili You
Lili You
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Feng Li
Feng Li
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Qingyu Chen
Qingyu Chen
Department of Medical Examination Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
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Chaogang Chen
Chaogang Chen
Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
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Xiaoyun Zhang
Xiaoyun Zhang
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Xiuwei Zhang
Xiuwei Zhang
Department of Endocrinology, Dongguan People’s Hospital, Dongguan, People’s Republic of China
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Wenting Xuan
Wenting Xuan
Department of Endocrinology, Dongguan People’s Hospital, Dongguan, People’s Republic of China
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Kan Sun
Kan Sun
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Guojuan Lao
Guojuan Lao
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Chuan Wang
Chuan Wang
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Yan Li
Yan Li
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Mingtong Xu
Mingtong Xu
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Meng Ren
Meng Ren
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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Li Yan
Li Yan
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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ratios (ORs) and their corresponding 95% CIs were calculated using logistic regression models. Nomograms were established based on the results of multivariable analysis. Receiver operating characteristic (ROC) curves were plotted in order to investigate
Shu-Meng Hu
Shu-Meng Hu
Department of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Yang-Juan Bai
Yang-Juan Bai
Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Ya-Mei Li
Ya-Mei Li
Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Ye Tao
Ye Tao
Department of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Xian-Ding Wang
Xian-Ding Wang
Department of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Tao Lin
Tao Lin
Department of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Lan-Lan Wang
Lan-Lan Wang
Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Yun-Ying Shi
Yun-Ying Shi
Department of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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the number of bootstraps was 500. A nomogram to predict THPT and CACS at 12 months after KT was constructed using stepwise selection and the Akaike information criterion (AIC). The stepwise selection method was used to select variables and determine
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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characteristics and model outcomes. We developed a nomogram that allows interaction to explore the impact of risk factors and their combinations on outcomes. The choice of variables for the nomogram was based on essential features ranked according to feature
Wenhao Lin
Wenhao Lin
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Jun Dai
Jun Dai
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Jialing Xie
Jialing Xie
Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Jiacheng Liu
Jiacheng Liu
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Fukang Sun
Fukang Sun
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Xin Huang
Xin Huang
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wei He
Wei He
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Chen Fang
Chen Fang
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Juping Zhao
Juping Zhao
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Danfeng Xu
Danfeng Xu
Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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X Liao C Yu H Fan X A nomogram for individualized estimation of survival among adult patients with adrenocortical carcinoma after surgery: a retrospective analysis and multicenter validation study . Cancer Communications 2019 39 80. ( https
Mark J C van Treijen
Mark J C van Treijen
Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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Catharina M Korse
Catharina M Korse
Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Department of Clinical Chemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Department of Clinical Chemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Wieke H Verbeek
Wieke H Verbeek
Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Department of Gastroenterology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Department of Gastroenterology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Margot E T Tesselaar
Margot E T Tesselaar
Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Gerlof D Valk
Gerlof D Valk
Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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patients ( 6 ). Multiple nomograms for NETs of various origins (rectal, small intestine, gastric, enteropancreatic) have been developed to predict treatment efficacy or overall survival but a measure of the underlying tumor biology that reflects tumor
Xiaomei Zhang
Xiaomei Zhang
Department of Endocrinology, Peking University International Hospital, Beijing, China
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Zhangrong Xu
Zhangrong Xu
Diabetes Center, Characteristic Medical Center of Strategic Support Force, Beijing, China
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Xingwu Ran
Xingwu Ran
Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
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Linong Ji
Linong Ji
Department of Endocrinology, Peking University International Hospital, Beijing, China
Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China
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Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China
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nomogram to predict the occurrence of LEAD in people with T2DM, including age, gender, duration of diabetes, smoking, HbA 1c , coexistence of coronary heart disease, and coexistence of diabetic microvascular complications ( 34 ). Although the developed
Andrea Mazurat
Andrea Mazurat
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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Andrea Torroni
Andrea Torroni
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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Jane Hendrickson-Rebizant
Jane Hendrickson-Rebizant
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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Harbinder Benning
Harbinder Benning
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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Richard W Nason
Richard W Nason
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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K Alok Pathak
K Alok Pathak
Section of Surgical Oncology, Department of Surgery, CancerCare Manitoba, University of Manitoba, GF440 A, 820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9
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prognostic nomogram (24) incorporating the age and other prognostic factors may be a better tool to account for the variable influence of age in predicting the oncological outcome of thyroid cancer. To conclude, our study confirms that patient age at the
Lu Yang
Lu Yang
Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Xingguo Jing
Xingguo Jing
Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Hua Pang
Hua Pang
Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Lili Guan
Lili Guan
Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Mengdan Li
Mengdan Li
Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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the presence of additional hyperfunctioning parathyroid glands. The study by Mazeh et al. ( 70 ) categorized patients into three groups: low (<800), intermediate (801–1600), and high (>1600), and developed a nomogram combining WIN scores and
