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Hongyan Wang Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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Bin Wu Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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Zichuan Yao Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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Xianqing Zhu Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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Yunzhong Jiang Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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Song Bai Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China

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). At present, risk factors related to surgery-associated morbidity remain unclear due to the limited number of studies about this issue and the inconsistency of the conclusions. A nomogram derived from predictive model is accepted as a reliable tool

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Yang Lv Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Ning Pu Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Wei-lin Mao Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Wen-qi Chen Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Huan-yu Wang Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Xu Han Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Yuan Ji Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China

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Lei Zhang Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Da-yong Jin Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Wen-Hui Lou Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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Xue-feng Xu Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

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heterogeneous morphology and biology, it is important to recognize clinical characteristics and outcomes of G3 rectal NECs; thus, in this paper, we aim to analyze the clinical characteristics of the rectal NECs and the prognosis-related factors. Nomogram is a

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Lei Gao Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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Wenxia Cui Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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Dinghuang Mu Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China

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Shaoping Li Department of Health Management Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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Nan Li Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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Weihong Zhou Department of Health Management Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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Yun Hu Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China

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models have not been further validated in the MASLD population. Therefore, our aim was to develop a nomogram for the 5-year MASLD risk using data obtained from Chinese health checkup records. We utilized receiver operating characteristic (ROC) curve

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Yaqian Mao Shengli Clinical Medical College of Fujian Medical University, Fujian, China
Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Lizhen Xu Shengli Clinical Medical College of Fujian Medical University, Fujian, China

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Ting Xue Shengli Clinical Medical College of Fujian Medical University, Fujian, China

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Jixing Liang Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Wei Lin Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Junping Wen Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Huibin Huang Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Liantao Li Department of Endocrinology, Fujian Provincial Hospital, Fujian, China

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Gang Chen Shengli Clinical Medical College of Fujian Medical University, Fujian, China
Department of Endocrinology, Fujian Provincial Hospital, Fujian, China
Fujian Provincial Key Laboratory of Medical Analysis, Fujian Academy of Medical, Fujian, China

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the occurrence of a disease and to construct a clinical prediction model. Among the various models for predicting disease risk, the nomogram transforms the complex regression equation into a simple and visual graph. Its prediction results are highly

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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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Ashley K Clift Department of Surgery and Cancer, Imperial College London, London, UK

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Omar Faiz Department of Surgery, St Mark’s Hospital, London, UK

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Robert Goldin Centre for Pathology, Imperial College London, London, UK

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John Martin Department of Gastroenterology, Imperial College London, London, UK

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Harpreet Wasan Department of Surgery and Cancer, Imperial College London, London, UK

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Marc-Olaf Liedke Department of Surgery, Westkuesten Klinikum Heide, Heide, Germany

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Erik Schloericke Department of Surgery, Westkuesten Klinikum Heide, Heide, Germany

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Anna Malczewska Department of Surgery and Cancer, Imperial College London, London, UK
Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland

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Guido Rindi Institute of Anatomic Pathology, Universita Cattolica del Sacro Cuore, Rome, Italy

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Mark Kidd Wren Laboratories, Branford, Connecticut, USA

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Irvin M Modlin Emeritus Professor Gastrointestinal Surgery, School of Medicine, Yale University, New Haven, Connecticut, USA

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Andrea Frilling Department of Surgery and Cancer, Imperial College London, London, UK

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effort has been expended in the development of novel approaches to rectify these shortcomings, such as PCR-based multi-analyte methods of assessing disease activity ( 19 ), analysis of miRNAs ( 5 ), metabolomic profiling ( 20 ) and prognostic nomograms

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Peiwen Wu Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

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Dongjie He Department of Radiation Oncology, Tangdu Hospital, the Second Affiliated Hospital of Air Force Medical University, Xi’an, China

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Hao Chang Department of Radiation Oncology, Tangdu Hospital, the Second Affiliated Hospital of Air Force Medical University, Xi’an, China

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Xiaozhi Zhang Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

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features, including sex, age, grade, and the primary tumor site may also significantly influence the prognosis ( 12 ). To the best of our knowledge, only a few studies have used nomograms to predict the prognosis of all patients with NETs ( 13 , 14 , 15

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Min Yang Graduate School, Beijing University of Chinese Medicine, Beijing, China
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China

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Xiangling Deng Graduate School, Beijing University of Chinese Medicine, Beijing, China
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China

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Shunan Wang Graduate School, Beijing University of Chinese Medicine, Beijing, China
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China

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Bo Zhou Graduate School, Beijing University of Chinese Medicine, Beijing, China
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China

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Wenquan Niu Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China

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Zhixin Zhang International Medical Services, China-Japan Friendship Hospital, Beijing, China
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China

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and pre-shortness, both individually and jointly as a nomogram prediction model. Methods Study design The cross-sectional survey was done in Beijing and Tangshan from September to December 2020. The conduct of this survey was reviewed and

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R H M Dykgraaf Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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S Schalekamp-Timmermans Division of Obstetrics and Fetal Medicine, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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M C Adank Division of Obstetrics and Fetal Medicine, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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S A A van den Berg Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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B M N van de Lang-Born Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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T I M Korevaar Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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A Kumar Ansh Labs, Webster, Texas, USA

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B Kalra Ansh Labs, Webster, Texas, USA

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G V Savjani Ansh Labs, Webster, Texas, USA

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E A P Steegers Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
Division of Obstetrics and Fetal Medicine, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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Y V Louwers Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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J S E Laven Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

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not mediated by hCG (Supplementary Fig. 2). Discussion Main findings In this large cohort study, a nomogram of AMH serum concentrations during early pregnancy was developed, demonstrating that serum AMH levels decrease already early in

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Chao-bin He Department of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China

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Yu Zhang State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China

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Zhi-yuan Cai Department of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China

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Xiao-jun Lin Department of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China

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with metastatic PNETs. Nomogram is a simple graphical presentation of multivariate predictive model and can be used to show the impact of each factor on an outcome of interest ( 16 ). It has been widely adopted as a useful predictive tool for survival

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