Search for other papers by Lasse Oinonen in
Google Scholar
PubMed
Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
Search for other papers by Antti Tikkakoski in
Google Scholar
PubMed
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland
Search for other papers by Jenni Koskela in
Google Scholar
PubMed
Search for other papers by Arttu Eräranta in
Google Scholar
PubMed
Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
Search for other papers by Mika Kähönen in
Google Scholar
PubMed
Search for other papers by Onni Niemelä in
Google Scholar
PubMed
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland
Search for other papers by Jukka Mustonen in
Google Scholar
PubMed
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland
Search for other papers by Ilkka Pörsti in
Google Scholar
PubMed
of 200 Hz ( 22 ). The Fast Fourier Transformation was utilised to calculate (i) power in low frequency (LF) range (0.04–0.15 Hz), (ii) power in high frequency (HF) range (0.15–0.40 Hz), and (iii) LF/HF ratio. HF oscillations relate to parasympathetic
Department of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark
Search for other papers by Helle Døssing in
Google Scholar
PubMed
Search for other papers by Finn Noe Bennedbæk in
Google Scholar
PubMed
Search for other papers by Laszlo Hegedüs in
Google Scholar
PubMed
the solid part of the nodule. The entire procedure was performed under continuous US guidance using a high-frequency linear transducer (Philips L18-5). The output power was between 1.5 and 3.0 W and depended on the size of the solid part of the nodule
ELPEN, Inc. Research Institute, Athens, Greece
European University of Cyprus School of Medicine, Nicosia, Cyprus
Medical Genetics, Henry Dunant Hospital, Athens, Greece
National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland, USA
Search for other papers by Constantine A Stratakis in
Google Scholar
PubMed
of genomics for all . Cell 2019 177 5 – 7 . ( https://doi.org/10.1016/j.cell.2019.02.041 ) 5 Abul-Husn NS & Kenny EE . Personalized medicine and the power of electronic health records . Cell 2019 177 58 – 69 . ( https://doi.org/10.1016/j
Clinic for Nuclear Medicine, University Hospital of Zürich, Zürich, Switzerland
Search for other papers by Luca Giovanella in
Google Scholar
PubMed
Search for other papers by Maria Luisa Garo in
Google Scholar
PubMed
Search for other papers by Domenico Albano in
Google Scholar
PubMed
Search for other papers by Rainer Görges in
Google Scholar
PubMed
Faculty of Biomedical Sciences, Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
Search for other papers by Luca Ceriani in
Google Scholar
PubMed
included in the meta-analysis ( 10 ). A sensitivity analysis was performed to examine whether overall findings were robust to the chosen analysis method. Finally, the power of meta-analysis was calculated using the metapow command. Meta-analysis was
Search for other papers by Dorte Glintborg in
Google Scholar
PubMed
Search for other papers by Hanne Mumm in
Google Scholar
PubMed
Search for other papers by Jens Juul Holst in
Google Scholar
PubMed
Search for other papers by Marianne Andersen in
Google Scholar
PubMed
. Power calculation Previous short-term studies on metformin and OCP treatment in PCOS using area under the curve (AUC) for insulin during 2-h OGTT as the primary end point included a minimum of 15 patients in each group ( 20 , 21 ). There was no
Search for other papers by Gunjan Garg in
Google Scholar
PubMed
Search for other papers by Garima Kachhawa in
Google Scholar
PubMed
Search for other papers by Rekha Ramot in
Google Scholar
PubMed
Search for other papers by Rajesh Khadgawat in
Google Scholar
PubMed
Search for other papers by Nikhil Tandon in
Google Scholar
PubMed
Search for other papers by V Sreenivas in
Google Scholar
PubMed
Search for other papers by Alka Kriplani in
Google Scholar
PubMed
Search for other papers by N Gupta in
Google Scholar
PubMed
indicate an improvement in DI after vitamin D supplementation in group A, it was not statistically significant. Our study being a pilot project was not powered enough to detect a significant difference in the parameters of insulin kinetics. PCOS has been
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Marco Marino in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Valentina Cirello in
Google Scholar
PubMed
Search for other papers by Valentina Gnarini in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Carla Colombo in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Elisa Pignatti in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Livio Casarini in
Google Scholar
PubMed
Search for other papers by Chiara Diazzi in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Vincenzo Rochira in
Google Scholar
PubMed
Search for other papers by Katia Cioni in
Google Scholar
PubMed
Search for other papers by Bruno Madeo in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Cesare Carani in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Manuela Simoni in
Google Scholar
PubMed
Unit and Chair of Endocrinology and Metabolism, Center for Genomic Research, Department of Clinical Sciences and Community Health, Endocrine Unit, Azienda USL of Modena, NOCSAE, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Pietro Giardini 1355, 41126 Modena, Italy
Search for other papers by Laura Fugazzola in
Google Scholar
PubMed
autoimmune or nodular diseases. The total number of 307 patients and 206 controls satisfied the criteria of the power analysis, requiring a minimum sample size of 164 patients. Written informed consent was obtained from all the participants, who donated a
Unit for Thrombosis Research, Department of Regional Health Research, University of Southern Denmark, Denmark
Search for other papers by Mette Bøgehave in
Google Scholar
PubMed
Department of Clinical Research, University of Southern Denmark, Odense, Denmark
OPEN, Open Patient data Explorative Network, Odense University Hospital, Region of Southern Denmark, Odense, Denmark
Search for other papers by Dorte Glintborg in
Google Scholar
PubMed
Unit for Thrombosis Research, Department of Regional Health Research, University of Southern Denmark, Denmark
Search for other papers by Jørgen Brodersen Gram in
Google Scholar
PubMed
Unit for Thrombosis Research, Department of Regional Health Research, University of Southern Denmark, Denmark
Search for other papers by Else-Marie Bladbjerg in
Google Scholar
PubMed
Department of Clinical Research, University of Southern Denmark, Odense, Denmark
Search for other papers by Marianne Skovsager Andersen in
Google Scholar
PubMed
Unit for Thrombosis Research, Department of Regional Health Research, University of Southern Denmark, Denmark
Search for other papers by Johannes Jakobsen Sidelmann in
Google Scholar
PubMed
of the haemostatic system as outcome measures were not defined in the original study ( 7 ), which was planned in 2015, and the power of the study was determined by the effect of TRT on lean body mass. Likewise, no studies examined the effect of TRT on
Search for other papers by Yang Lv in
Google Scholar
PubMed
Search for other papers by Ning Pu in
Google Scholar
PubMed
Search for other papers by Wei-lin Mao in
Google Scholar
PubMed
Search for other papers by Wen-qi Chen in
Google Scholar
PubMed
Search for other papers by Huan-yu Wang in
Google Scholar
PubMed
Search for other papers by Xu Han in
Google Scholar
PubMed
Search for other papers by Yuan Ji in
Google Scholar
PubMed
Search for other papers by Lei Zhang in
Google Scholar
PubMed
Search for other papers by Da-yong Jin in
Google Scholar
PubMed
Search for other papers by Wen-Hui Lou in
Google Scholar
PubMed
Search for other papers by Xue-feng Xu in
Google Scholar
PubMed
3). According to the 2010 WHO classification, high-grade G3 rectal neuroendocrine carcinomas (NECs) were defined as a tumor with Ki-67 proliferation index greater than 20% or mitotic rate greater than 20 per 10 high power fields ( 3 ). NECs are
Search for other papers by Piera Rizzolo in
Google Scholar
PubMed
Search for other papers by Valentina Silvestri in
Google Scholar
PubMed
Search for other papers by Virginia Valentini in
Google Scholar
PubMed
Search for other papers by Veronica Zelli in
Google Scholar
PubMed
Search for other papers by Agostino Bucalo in
Google Scholar
PubMed
Search for other papers by Ines Zanna in
Google Scholar
PubMed
Search for other papers by Simonetta Bianchi in
Google Scholar
PubMed
Search for other papers by Maria Grazia Tibiletti in
Google Scholar
PubMed
Search for other papers by Antonio Russo in
Google Scholar
PubMed
Search for other papers by Liliana Varesco in
Google Scholar
PubMed
Search for other papers by Gianluca Tedaldi in
Google Scholar
PubMed
Search for other papers by Bernardo Bonanni in
Google Scholar
PubMed
Search for other papers by Jacopo Azzollini in
Google Scholar
PubMed
Search for other papers by Siranoush Manoukian in
Google Scholar
PubMed
Search for other papers by Anna Coppa in
Google Scholar
PubMed
Search for other papers by Giuseppe Giannini in
Google Scholar
PubMed
Search for other papers by Laura Cortesi in
Google Scholar
PubMed
Search for other papers by Alessandra Viel in
Google Scholar
PubMed
Search for other papers by Marco Montagna in
Google Scholar
PubMed
Search for other papers by Paolo Peterlongo in
Google Scholar
PubMed
Search for other papers by Paolo Radice in
Google Scholar
PubMed
Search for other papers by Domenico Palli in
Google Scholar
PubMed
Search for other papers by Laura Ottini in
Google Scholar
PubMed
control’s series) and a dominant model, with a case–control ratio of 1:1.7 (597 cases and 1022 controls), we could identify an OR of 1.45 with a power of 90% and alpha = 0.05. Chi-square test was performed in a case-by-case analysis in order to evaluate