Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kristin Mühlenbruch"'
Autor:
Catarina Schiborn, Tilman Kühn, Kristin Mühlenbruch, Olga Kuxhaus, Cornelia Weikert, Andreas Fritsche, Rudolf Kaaks, Matthias B. Schulze
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Inclusion of clinical parameters limits the application of most cardiovascular disease (CVD) prediction models to clinical settings. We developed and externally validated a non-clinical CVD risk score with a clinical extension and compared t
Externí odkaz:
https://doaj.org/article/4b8f180ee28a4b43a2f861d78d22db1b
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e64307 (2013)
BACKGROUND: Genome-wide association studies have identified numerous single nucleotide polymorphisms associated with type 2 diabetes through the past years. In previous studies, the usefulness of these genetic markers for prediction of diabetes was f
Externí odkaz:
https://doaj.org/article/341cb3455db542d6aaf14cfc1139c7ea
Autor:
Kristin Mühlenbruch, Charlotte Jeppesen, Hans-Georg Joost, Heiner Boeing, Matthias B. Schulze
Publikováno v:
PLoS ONE, Vol 8, Iss 9 (2013)
Externí odkaz:
https://doaj.org/article/bfc57cab8a954ab5825623fbfd10531e
Autor:
Matthias B. Schulze, Alexander Kluttig, Cornelia Weikert, Till Ittermann, Christa Meisinger, Daniel Medenwald, Manuela M. Bergmann, Juliane Menzel, Annette Peters, Kristin Mühlenbruch, Heiner Boeing, Marcus Dörr
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Sci. Rep. 10:15373 (2020)
Scientific reports, 10(1):15373
Scientific Reports
Sci. Rep. 10:15373 (2020)
Scientific reports, 10(1):15373
Scientific Reports
Since family history of diabetes is a very strong risk factor for type 2 diabetes, which is one of the most important risk factors for cardiovascular disease (CVD), it might be also useful to assess the risk for CVD. Therefore, we aimed to investigat
Autor:
Olga Kuxhaus, Rudolf Kaaks, Matthias B. Schulze, Andreas Fritsche, Kristin Mühlenbruch, Catarina Schiborn, Tilman Kühn, Cornelia Weikert
Publikováno v:
Scientific Reports
Scientific reports, 11(1):19609
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Sci. Rep. 11:19609 (2021)
Scientific reports, 11(1):19609
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Sci. Rep. 11:19609 (2021)
Inclusion of clinical parameters limits the application of most cardiovascular disease (CVD) prediction models to clinical settings. We developed and externally validated a non-clinical CVD risk score with a clinical extension and compared the perfor
Autor:
Christoph Kurz, Christa Meisinger, Katharina Kähm, Wolfgang Rathmann, Rolf Holle, Annette Peters, Verena Maria Schöning, Michael Laxy, Kristin Mühlenbruch
Publikováno v:
PharmacoEconomics. 37:1485-1494
Accurate prediction of relevant outcomes is important for targeting therapies and to support health economic evaluations of healthcare interventions in patients with diabetes. The United Kingdom Prospective Diabetes Study (UKPDS) risk equations are s
Autor:
Gottfried Roller, Andreas Kaiserauer, Gerhard Müller, Kristin Mühlenbruch, Jana Fritz, Vera Valenta, C Sailer, Hans-Ulrich Häring, Andreas Fritsche, Matthias B. Schulze
Publikováno v:
Diabetologie und Stoffwechsel. 14:132-138
ZusammenfassungDiabetes mellitus Typ 2 ist eine chronische Erkrankung, deren Manifestation bei Risikopersonen in klinischen Studien durch Umstellung des Lebensstils verhindert werden kann. Ziel der Studie war es zu prüfen, ob in der Allgemeinbevölk
Autor:
Ping Zhang, Xiaohui Zhuo, Andrea Icks, Hui Shao, Edward W. Gregg, Michael Laxy, Matthias B. Schulze, Barbara H. Bardenheier, Kristin Mühlenbruch
Publikováno v:
Acta Diabetol. 57, 447-454 (2020)
Acta Diabetologica
Acta diabetologica, 57(4):447-454
Acta Diabetologica
Acta diabetologica, 57(4):447-454
Aims Although risk scores to predict type 2 diabetes exist, cost-effectiveness of risk thresholds to target prevention interventions are unknown. We applied cost-effectiveness analysis to identify optimal thresholds of predicted risk to target a low-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c1076153c1a447cb6bb7100b9d6311
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=57370
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=57370
Autor:
Cornelia Weikert, Romina di Giuseppe, Matthias B. Schulze, Kristin Mühlenbruch, Heiner Boeing, Olga Kuxhaus
Publikováno v:
Journal of Clinical Epidemiology. 84:130-141
Objective To compare weighting methods for Cox regression and multiple imputation (MI) in a case–cohort study in the context of risk prediction modeling. Study Design and Setting Based on the European Prospective Investigation into Cancer and Nutri
Autor:
Heiner Boeing, Karina Meidtner, Kristin Mühlenbruch, Norbert Stefan, Matthias B. Schulze, Nathalie Eckel
Publikováno v:
Metabolism, 64(8): 862-871
OBJECTIVE: A proportion of type 2 diabetes cases arise from normal-weight individuals who can therefore be considered to be “metabolically unhealthy normal-weight” (MUH-NW). It remains unclear which factors account for this access risk. Our aims