Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hiddo JL Heerspink"'
Autor:
Oliver Schnell, Eberhard Standl, Xavier Cos, Hiddo JL Heerspink, Baruch Itzhak, Nebojsa Lalic, Michael Nauck, Antonio Ceriello
Publikováno v:
Cardiovascular Diabetology, Vol 19, Iss 1, Pp 1-10 (2020)
Abstract The 5th Cardiovascular Outcome Trial (CVOT) Summit was held in Munich on October 24th–25th, 2019. As in previous years, this summit served as a reference meeting for in-depth discussions on the topic of recently completed and presented CVO
Externí odkaz:
https://doaj.org/article/e4be945d72bb4d2b92d3f8c00d56391f
Autor:
null Annemarie B van der Aart ‐ van der Beek, null Ellen Apperloo, null Niels Jongs, null Dennis B Rouw, null C David Sjöström, null Iris Friedli, null Lars Johansson, null Daniël H van Raalte, null Klaas Hoogenberg, null Hiddo JL Heerspink
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::204842bfec5c89f646a59196793ef7fa
https://doi.org/10.1111/dom.15033/v2/response1
https://doi.org/10.1111/dom.15033/v2/response1
Autor:
null Rosalie A Scholtes, null Charlotte M. Mosterd, null Anne C Hesp, null Mark M. Smits, null Hiddo JL Heerspink, null Daniël H van Raalte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5d2f263b0127a95a8ab9453a2ce0a6b
https://doi.org/10.1111/dom.14864/v2/response1
https://doi.org/10.1111/dom.14864/v2/response1
Autor:
the CKD Prognosis Consortium, Navdeep Tangri, Angela Yee-Moon Wang, Jae Won Yang, Mark Woodward, Chi-Pang Wen, Jan van den Brand, Jamie P Traynor, Keiichi Sumida, Benedicte Stengel, Nikita Stempniewicz, Natalie Staplin, Manish M Sood, Simon Sawhney, Ana C Ricardo, David MJ Naimark, Girish N Nadkarni, James Medcalf, Rupert W Major, Adeera Levin, Brian J Lee, H Lester Kirchner, Philip A Kalra, Kunitoshi Iseki, Lesley A Inker, Hiddo JL Heerspink, Marie Evans, Gabriel Chodick, Juan J Carrero, Samira Bell, Aditya Surapaneni, Kunihiro Matsushita, Josef Coresh, Yingying Sang, Shoshana H Ballew, Nigel J Brunskill, Morgan E Grams
Objective: To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design. Research Design and Methods: In this individual participant data meta-analysis, 43 cohorts (N=1,621,817) from research studies, electron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09609d382ae9a38a3b0b8a33b31c9caa
https://doi.org/10.2337/figshare.20061143.v1
https://doi.org/10.2337/figshare.20061143.v1