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
Department of Medicine (Austin Health), University of Melbourne, Heidelberg, Victoria, Australia
Search for other papers by Brendan J Nolan in
Google Scholar
PubMed
Search for other papers by Aviva S Frydman in
Google Scholar
PubMed
Search for other papers by Shalem Y Leemaqz in
Google Scholar
PubMed
Search for other papers by Meg Carroll in
Google Scholar
PubMed
Department of Medicine (Austin Health), University of Melbourne, Heidelberg, Victoria, Australia
Search for other papers by Mathis Grossmann in
Google Scholar
PubMed
Department of Medicine (Austin Health), University of Melbourne, Heidelberg, Victoria, Australia
Search for other papers by Jeffrey D Zajac in
Google Scholar
PubMed
Department of Medicine (Austin Health), University of Melbourne, Heidelberg, Victoria, Australia
Search for other papers by Ada S Cheung in
Google Scholar
PubMed
testosterone concentration were measured via immunoassays available for routine clinical care in Australia. All laboratories are accredited by the National Association of Testing Authorities. Sample size determination Power calculation was based on the
Search for other papers by Magdalena Zgliczyńska in
Google Scholar
PubMed
Search for other papers by Magdalena Ostrowska in
Google Scholar
PubMed
Search for other papers by Kinga Żebrowska in
Google Scholar
PubMed
Search for other papers by Iwona Szymusik in
Google Scholar
PubMed
Search for other papers by Konrad Kowalski in
Google Scholar
PubMed
Search for other papers by Dorota Leszczyńska in
Google Scholar
PubMed
Search for other papers by Katarzyna Kosińska-Kaczyńska in
Google Scholar
PubMed
, 4.5 min – 98% B, 4.6 min – 50% B. The total run time was 5.5 min. To compare the CLIA and LC-MS/MS methods, 25(OH)D 3 and 25(OH)D 2 concentrations were combined into 25(OH)D. Statistical analyses The power analysis for the study was carried
Alfred Health, Melbourne, Victoria, Australia
Search for other papers by Pravik Solanki in
Google Scholar
PubMed
Department of General Practice, Melbourne Medical School, The University of Melbourne, Victoria, Australia
Search for other papers by Beng Eu in
Google Scholar
PubMed
Search for other papers by Jeremy Smith in
Google Scholar
PubMed
Search for other papers by Carolyn Allan in
Google Scholar
PubMed
Search for other papers by Kevin Lee in
Google Scholar
PubMed
Baseline measurements not available Karila et al. 2004 ( 53 ) Prospective study 21 male power athletes aged 24–42 years, undergoing medical assessment to rule out chronic diseases and medication use ‘Major users’ are those with cumulative
Search for other papers by Rafaella Sales de Freitas in
Google Scholar
PubMed
Search for other papers by Thiago F A França in
Google Scholar
PubMed
Search for other papers by Sabine Pompeia in
Google Scholar
PubMed
status and kisspeptin concentrations ( 1 , 7 , 9 , 15 , 18 , 19 ), we controlled for these factors. Participants’ SES was assessed based on family purchasing power, in accordance with the guidelines of the Brazilian Association of Market Research
EndoERN, APHP Consortium Pitie Salpetriere Hospital, Necker Hospital, Paris, France
Search for other papers by Nathalie Ly in
Google Scholar
PubMed
EndoERN, APHP Consortium Pitie Salpetriere Hospital, Necker Hospital, Paris, France
Search for other papers by Sophie Dubreuil in
Google Scholar
PubMed
EndoERN, APHP Consortium Pitie Salpetriere Hospital, Necker Hospital, Paris, France
Sorbonne University, Paris, France
Search for other papers by Philippe Touraine in
Google Scholar
PubMed
156 for whom GHD was diagnosed during reproductive years), just as in the Vila’s international cohort (97.2% did not have children or report infertility). We thus have small samples and lack statistical power. This could be mostly explained by the
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
Search for other papers by Shanlee M Davis in
Google Scholar
PubMed
Search for other papers by Rhianna Urban in
Google Scholar
PubMed
Search for other papers by Angelo D’Alessandro in
Google Scholar
PubMed
Search for other papers by Julie A Reisz in
Google Scholar
PubMed
Search for other papers by Christine L Chan in
Google Scholar
PubMed
Search for other papers by Megan Kelsey in
Google Scholar
PubMed
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
Search for other papers by Susan Howell in
Google Scholar
PubMed
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
Search for other papers by Nicole Tartaglia in
Google Scholar
PubMed
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
Search for other papers by Philip Zeitler in
Google Scholar
PubMed
Search for other papers by Peter Baker II in
Google Scholar
PubMed
recruited to participate in a study on cardiometabolic health, which was powered to detect differences in cardiorespiratory function not included here. Prepubertal exam, hypertension, diabetes, or exercise restrictions were exclusionary. Additionally, boys
Search for other papers by Veronica Astro in
Google Scholar
PubMed
Search for other papers by Elisabetta Fiacco in
Google Scholar
PubMed
Search for other papers by Kelly Johanna Cardona-Londoño in
Google Scholar
PubMed
Search for other papers by Ilario De Toma in
Google Scholar
PubMed
Search for other papers by Hams Saeed Alzahrani in
Google Scholar
PubMed
Search for other papers by Jumana Alama in
Google Scholar
PubMed
Search for other papers by Amal Kokandi in
Google Scholar
PubMed
Search for other papers by Taha Abo-Almagd Abdel-Meguid Hamoda in
Google Scholar
PubMed
Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
Search for other papers by Majed Felemban in
Google Scholar
PubMed
Search for other papers by Antonio Adamo in
Google Scholar
PubMed
-diabetes. For this reason, the power of the transcriptomic comparison of this 46,XY subject with KS patients could be biased in regards to ‘fertility’ and ‘glucose metabolism‘ GO terms. Therefore, further studies enrolling a larger number of 46,XY and 47,XXY
Department of Performance and Image-enhancing Drugs Research, Android Health Clinic, Utrecht, the Netherlands
Search for other papers by Peter Bond in
Google Scholar
PubMed
Department of Internal Medicine, Spaarne Gasthuis, Haarlem, the Netherlands
Search for other papers by Tijs Verdegaal in
Google Scholar
PubMed
Department of Performance and Image-enhancing Drugs Research, Android Health Clinic, Utrecht, the Netherlands
Search for other papers by Diederik L Smit in
Google Scholar
PubMed
thrombotic risk: the trial was not adequately powered for this endpoint, subjects with hematocrit >50% at baseline were excluded from enrollment, and in those who developed and maintained a hematocrit >54% after testosterone dose reduction, TTh was stopped
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Hans Valdemar López Krabbe in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
Search for other papers by Jørgen Holm Petersen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Fertility, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Search for other papers by Louise Laub Asserhøj in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Trine Holm Johannsen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Peter Christiansen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Search for other papers by Rikke Beck Jensen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Line Hartvig Cleemann in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Casper P Hagen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Lærke Priskorn in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Niels Jørgensen in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Search for other papers by Katharina M Main in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Search for other papers by Anders Juul in
Google Scholar
PubMed
International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Search for other papers by Lise Aksglaede in
Google Scholar
PubMed
-dependent curves: L, M, and S. The L curve adjusts for age-dependent skewness, the M curve corresponds to the age-dependent median, and the S curve is the age- dependent CV curve. The method is based on the Box–Cox power transformation, which transforms the data to