Zhenzhen Wang
Zhenzhen Wang
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Xiangying Zhu
Xiangying Zhu
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Xiaohui Yu
Xiaohui Yu
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Haixia Guan
Haixia Guan
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Lei Zhao
Lei Zhao
Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China
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Yixia Zhang
Yixia Zhang
Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China
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Yuge Li
Yuge Li
Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China
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Liang Sang
Liang Sang
Department of Ultrasonography, The First Affiliated Hospital of China Medical University, Shenyang, China
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Yuchen Han
Yuchen Han
Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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Yushu Li
Yushu Li
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Zhongyan Shan
Zhongyan Shan
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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Weiping Teng
Weiping Teng
Department of Endocrinology and Metabolism, Institute of Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang, China
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. ( https://doi.org/10.1111/cen.13254 ) 46 Banks ND Kowalski J Tsai HL Somervell H Tufano R Dackiw APB Marohn MR Clark DP Umbricht CB Zeiger MA . A diagnostic predictor model for indeterminate or suspicious thyroid
Chao-bin He
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
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
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
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
Lei Lei
Lei Lei
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Yi-Hua Bai
Yi-Hua Bai
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Hong-Ying Jiang
Hong-Ying Jiang
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Ting He
Ting He
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Meng Li
Meng Li
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Jia-Ping Wang
Jia-Ping Wang
Department of Radiology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China
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Gaussian, the number of predictive models was lambda = 1000, and the standard parameter of the LASSO regression was alpha = 1. Sample collection A total of 30 samples was obtained from 11 T2D patients and 20 non-diabetic controls. The present study
Alberto Battezzati
Alberto Battezzati
International Center for the Assessment of Nutritional Status, DeFENS, University of Milan, Milan, Italy
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Andrea Foppiani
Andrea Foppiani
International Center for the Assessment of Nutritional Status, DeFENS, University of Milan, Milan, Italy
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Gianfranco Alicandro
Gianfranco Alicandro
Cystic Fibrosis Center, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Arianna Bisogno
Arianna Bisogno
Cystic Fibrosis Center, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Arianna Biffi
Arianna Biffi
Cystic Fibrosis Center, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Giorgio Bedogni
Giorgio Bedogni
Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
Internal Medicine, S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy
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Internal Medicine, S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy
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Simona Bertoli
Simona Bertoli
International Center for the Assessment of Nutritional Status, DeFENS, University of Milan, Milan, Italy
Istituto Auxologico Italiano, IRCCS, Obesity Unit - Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, Milan, Italy
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Istituto Auxologico Italiano, IRCCS, Obesity Unit - Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, Milan, Italy
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Giulia De Carlo
Giulia De Carlo
International Center for the Assessment of Nutritional Status, DeFENS, University of Milan, Milan, Italy
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Erica Nazzari
Erica Nazzari
Cystic Fibrosis Center, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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Carla Colombo
Carla Colombo
Cystic Fibrosis Center, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
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.8 <0.001 Bold indicates statistical significance. Table 3 shows results from the predictive models of adult height z-score. No significant differences were found between sexes and patients with and without pancreatic insufficiency
Marta Araujo-Castro
Marta Araujo-Castro
Department of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
University of Alcalá, Madrid, Spain
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University of Alcalá, Madrid, Spain
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Miguel Paja Fano
Miguel Paja Fano
Department of Endocrinology & Nutrition, OSI Bilbao-Basurto, Hospital Universitario de Basurton & Basque Country University, Medicine Department, Bilbao, Spain
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Begoña Pla Peris
Begoña Pla Peris
Department of Endocrinology & Nutrition, Hospital Universitario de Castellón, Castellón, Spain
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Marga González Boillos
Marga González Boillos
Department of Endocrinology & Nutrition, Hospital Universitario de Castellón, Castellón, Spain
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Eider Pascual-Corrales
Eider Pascual-Corrales
Department of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
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Ana María García-Cano
Ana María García-Cano
Department of Biochemistry, Hospital Universitario Ramón y Cajal, Madrid, Spain
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Paola Parra Ramírez
Paola Parra Ramírez
Department of Endocrinology & Nutrition, Hospital Universitario La Paz Madrid, Spain
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Patricia Martín Rojas-Marcos
Patricia Martín Rojas-Marcos
Department of Endocrinology & Nutrition, Hospital Universitario La Paz Madrid, Spain
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Jorge Gabriel Ruiz-Sanchez
Jorge Gabriel Ruiz-Sanchez
Department of Endocrinology & Nutrition, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
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Almudena Vicente
Almudena Vicente
Department of Endocrinology & Nutrition, Hospital Universitario de Toledo, Toledo, Spain
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Emilia Gómez-Hoyos
Emilia Gómez-Hoyos
Department of Endocrinology & Nutrition, Hospital Universitario de Valladolid, Valladolid, Spain
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Rui Ferreira
Rui Ferreira
Department of Endocrinology & Nutrition, Hospital Universitario Rey Juan Carlos, Madrid, Spain
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Iñigo García Sanz
Iñigo García Sanz
Department of General & Digestive Surgery, Hospital Universitario de La Princesa, Madrid, Spain
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Mónica Recasens
Mónica Recasens
Department of Endocrinology & Nutrition, Institut Català de la Salut Girona, Girona, Spain
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Rebeca Barahona San Millan
Rebeca Barahona San Millan
Department of Endocrinology & Nutrition, Institut Català de la Salut Girona, Girona, Spain
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María José Picón César
María José Picón César
Department of Endocrinology & Nutrition, Hospital Universitario Virgen de la Victoria de Málaga, IBIMA Malaga, Spain CIBEROBN, Madrid, Spain
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Patricia Díaz Guardiola
Patricia Díaz Guardiola
Department of Endocrinology & Nutrition, Hospital Universitario Infanta Sofía, Madrid, Spain
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Carolina Perdomo
Carolina Perdomo
Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, Pamplona, Spain
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Laura Manjón
Laura Manjón
Department of Endocrinology & Nutrition, Hospital Universitario Central de Asturias & Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
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Rogelio García-Centeno
Rogelio García-Centeno
Department of Endocrinology & Nutrition, Hospital Universitario Gregorio Marañón, Madrid, Spain
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Juan Carlos Percovich
Juan Carlos Percovich
Department of Endocrinology & Nutrition, Hospital Universitario Gregorio Marañón, Madrid, Spain
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Ángel Rebollo Román
Ángel Rebollo Román
Department of Endocrinology & Nutrition, Hospital Reina Sofía, Córdoba, Spain
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Paola Gracia Gimeno
Paola Gracia Gimeno
Department of Endocrinology & Nutrition, Hospital Rollo Villanova, Zaragoza, Spain
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Cristina Robles Lázaro
Cristina Robles Lázaro
Department of Endocrinology & Nutrition, Complejo Universitario de Salamanca, Salamanca, Spain
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Manuel Morales
Manuel Morales
Biochemistry and Molecular Genetics Department-CDB, Hospital Clinic, IDIBAPS, CIBERehd, Barcelona, Spain
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María Calatayud
María Calatayud
Department of Endocrinology & Nutrition, Hospital Doce de Octubre, Madrid, Spain
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Simone Andree Furio Collao
Simone Andree Furio Collao
Department of Endocrinology & Nutrition, Hospital Doce de Octubre, Madrid, Spain
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Diego Meneses
Diego Meneses
Department of Endocrinology & Nutrition, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
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Miguel Antonio Sampedro Nuñez
Miguel Antonio Sampedro Nuñez
Department of Endocrinology & Nutrition, Hospital Universitario La Princesa, Madrid, Spain
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Verónica Escudero Quesada
Verónica Escudero Quesada
Department of Nephrology, Hospital Universitario Doctor Peser, Valencia, Spain
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Elena Mena Ribas
Elena Mena Ribas
Department of Endocrinology & Nutrition, Hospital Universitario Son Espases, Islas Baleares, Spain
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Alicia Sanmartín Sánchez
Alicia Sanmartín Sánchez
Department of Endocrinology & Nutrition, Hospital Universitario Son Espases, Islas Baleares, Spain
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Cesar Gonzalvo Diaz
Cesar Gonzalvo Diaz
Department of Endocrinology & Nutrition, Hospital Universitario De Albacete, Albacete, Spain
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Cristina Lamas
Cristina Lamas
Department of Endocrinology & Nutrition, Hospital Universitario De Albacete, Albacete, Spain
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Raquel Guerrero-Vázquez
Raquel Guerrero-Vázquez
Department of Endocrinology & Nutrition, Hospital Virgen de la Macarena, Sevilla, Spain
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María del Castillo Tous
María del Castillo Tous
Department of Endocrinology & Nutrition, Hospital Virgen de la Macarena, Sevilla, Spain
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Joaquín Serrano
Joaquín Serrano
Department of Endocrinology & Nutrition, Hospital General Universitario de Alicante, Alicante, Spain
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Theodora Michalopoulou
Theodora Michalopoulou
Department of Endocrinology and Nutrition, Joan XXIII University Hospital, Tarragona, Spain
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Eva María Moya Mateo
Eva María Moya Mateo
Internal Medicine, Hospital Infanta Leonor de Vallecas, Madrid, Spain
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Felicia Hanzu
Felicia Hanzu
Department of Endocrinology & Nutrition, Hospital Clinic, IDIPAS, Barcelona, Spain
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-Castro M Paja Fano M González Boillos M Pla Peris B Pascual-Corrales E García Cano AM Parra Ramírez P Martín Rojas-Marcos P Ruiz-Sanchez JG Vicente Delgado A , Predictive model of hypertension resolution after adrenalectomy in primary
Yasmin Shibli Abu Raya
Yasmin Shibli Abu Raya
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Asaf Bilgory
Asaf Bilgory
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Nardin Aslih
Nardin Aslih
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Yuval Atzmon
Yuval Atzmon
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Maya Shavit
Maya Shavit
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Daniela Estrada
Daniela Estrada
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Moamina Sharqawi
Moamina Sharqawi
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
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Einat Shalom-Paz
Einat Shalom-Paz
Department of Obstetrics & Gynecology, Gynecological Research Laboratory, Hillel Yaffe Medical Center, Hadera, Israel
Ruth and Bruce Rappaport School of Medicine, The Technion Institute of Technology, Haifa, Israel
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Ruth and Bruce Rappaport School of Medicine, The Technion Institute of Technology, Haifa, Israel
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the effect of various women’s characteristics on treatment outcomes using a predictive model for clinical pregnancy as compared to biochemical pregnancy. Included in the model were age, BMI, fresh vs frozen embryo transfer, last measured estradiol
Antonella Giampietro
Antonella Giampietro
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Sabrina Chiloiro
Sabrina Chiloiro
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Claudio Urbani
Claudio Urbani
Endocrinology II Unit, Department of Medicine, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
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Rosario Pivonello
Rosario Pivonello
Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Endocrinologia, Università Federico II di Napoli, Naples, Italy
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Martin Ove Carlsson
Martin Ove Carlsson
Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
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Francesca Dassie
Francesca Dassie
Department of Medicine - DIMED, University of Padua, Padua, Italy
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Nunzia Prencipe
Nunzia Prencipe
Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Turin, Italy
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Marta Ragonese
Marta Ragonese
Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
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Roy Gomez
Roy Gomez
Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
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Simona Granato
Simona Granato
Medical Department, Pfizer Italia, Rome, Italy
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Salvatore Cannavò
Salvatore Cannavò
Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
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Silvia Grottoli
Silvia Grottoli
Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Turin, Italy
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Pietro Maffei
Pietro Maffei
Department of Medicine - DIMED, University of Padua, Padua, Italy
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Annamaria Colao
Annamaria Colao
Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Endocrinologia, Università Federico II di Napoli, Naples, Italy
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Fausto Bogazzi
Fausto Bogazzi
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Antonio Bianchi
Antonio Bianchi
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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IGF-1 value at baseline. The area under the curve (AUC) was 0.72, indicating that an acceptable predictive model was fitted. Discussion In this study, we explored factors that could influence and predict the effectiveness of pegvisomant therapy
Lijuan Yuan
Lijuan Yuan
Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Xihui Chen
Xihui Chen
Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Ziyu Liu
Ziyu Liu
Department of Microbiology, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Dan Wu
Dan Wu
Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Jianguo Lu
Jianguo Lu
Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Guoqiang Bao
Guoqiang Bao
Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Sijia Zhang
Sijia Zhang
Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Lifeng Wang
Lifeng Wang
Department of Biochemistry and Molecular Biology, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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Yuanming Wu
Yuanming Wu
Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
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the ovarian physiology ( Fig. 5 ). The PHO-causing SLCO2A1 mutation-carrying female indeed presented the premature ovarian failure and the extremely early menopause with altered hormone levels. Figure 5 Predicted model for SLCO2A1 mutation
Huguette S Brink
Huguette S Brink
Department of Endocrinology, Maasstad Hospital, Rotterdam, The Netherlands
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Aart Jan van der Lely
Aart Jan van der Lely
Department of Endocrinology, Erasmus University MC, Rotterdam, The Netherlands
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Joke van der Linden
Joke van der Linden
Department of Endocrinology, Maasstad Hospital, Rotterdam, The Netherlands
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GD pathogenesis. Combining biomarkers and risk factors into a predictive model may add to early prediction of GD, evoke effective prevention strategies and may ultimately reduce complications associated with GD. The aim of this review is to ( 1
Liselot Koelman
Liselot Koelman
Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
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Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
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Robin Reichmann
Robin Reichmann
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
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Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
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Claudia Börnhorst
Claudia Börnhorst
Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
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Matthias B Schulze
Matthias B Schulze
Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany
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Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany
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Cornelia Weikert
Cornelia Weikert
Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany
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Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany
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Ronald Biemann
Ronald Biemann
Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
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Berend Isermann
Berend Isermann
Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
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Andreas Fritsche
Andreas Fritsche
Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of Tübingen, Tübingen, Germany
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Krasimira Aleksandrova
Krasimira Aleksandrova
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
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Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
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variables as statistical predictors of chemerin concentrations among the three groups of factors, that is, lifestyle-associated, dietary, and metabolic, as well as all predictors modeled together. Among the lifestyle-associated factors, BMI and WC were
