Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets

10.1016/j.eclinm.2020.100552

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Main Authors: Matsushita, K., Jassal, S.K., Sang, Y., Ballew, S.H., Grams, M.E., Surapaneni, A., Arnlov, J., Bansal, N., Bozic, M., Brenner, H., Brunskill, N.J., Chang, A.R., Chinnadurai, R., Cirillo, M., Correa, A., Ebert, N., Eckardt, K.-U., Gansevoort, R.T., Gutierrez, O., Hadaegh, F., He, J., Hwang, S.-J., Jafar, T.H., Kayama, T., Kovesdy, C.P., Landman, G.W., Levey, A.S., Lloyd-Jones, D.M., Major, R.W., Miura, K., Muntner, P., Nadkarni, G.N., Naimark, D.M., Nowak, C., Ohkubo, T., Pena, M.J., Polkinghorne, K.R., Sabanayagam, C., Sairenchi, T., Schneider, M.P., Shalev, V., Shlipak, M., Solbu, M.D., Stempniewicz, N., Tollitt, J., Valdivielso, J.M., van der Leeuw, J., Wang, A.Y.-M., Wen, C.-P., Woodward, M., Yamagishi, K., Yatsuya, H., Zhang, L., Schaeffner, E., Coresh, J.
Other Authors: DUKE-NUS MEDICAL SCHOOL
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Published: Lancet Publishing Group 2021
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/197437
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spelling sg-nus-scholar.10635-1974372024-11-10T00:38:21Z Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets Matsushita, K. Jassal, S.K. Sang, Y. Ballew, S.H. Grams, M.E. Surapaneni, A. Arnlov, J. Bansal, N. Bozic, M. Brenner, H. Brunskill, N.J. Chang, A.R. Chinnadurai, R. Cirillo, M. Correa, A. Ebert, N. Eckardt, K.-U. Gansevoort, R.T. Gutierrez, O. Hadaegh, F. He, J. Hwang, S.-J. Jafar, T.H. Kayama, T. Kovesdy, C.P. Landman, G.W. Levey, A.S. Lloyd-Jones, D.M. Major, R.W. Miura, K. Muntner, P. Nadkarni, G.N. Naimark, D.M. Nowak, C. Ohkubo, T. Pena, M.J. Polkinghorne, K.R. Sabanayagam, C. Sairenchi, T. Schneider, M.P. Shalev, V. Shlipak, M. Solbu, M.D. Stempniewicz, N. Tollitt, J. Valdivielso, J.M. van der Leeuw, J. Wang, A.Y.-M. Wen, C.-P. Woodward, M. Yamagishi, K. Yatsuya, H. Zhang, L. Schaeffner, E. Coresh, J. DUKE-NUS MEDICAL SCHOOL cardiovascular disease Chronic kidney disease meta-analysis risk prediction 10.1016/j.eclinm.2020.100552 EClinicalMedicine 27 100552 2021-08-18T02:49:13Z 2021-08-18T02:49:13Z 2020 Article Matsushita, K., Jassal, S.K., Sang, Y., Ballew, S.H., Grams, M.E., Surapaneni, A., Arnlov, J., Bansal, N., Bozic, M., Brenner, H., Brunskill, N.J., Chang, A.R., Chinnadurai, R., Cirillo, M., Correa, A., Ebert, N., Eckardt, K.-U., Gansevoort, R.T., Gutierrez, O., Hadaegh, F., He, J., Hwang, S.-J., Jafar, T.H., Kayama, T., Kovesdy, C.P., Landman, G.W., Levey, A.S., Lloyd-Jones, D.M., Major, R.W., Miura, K., Muntner, P., Nadkarni, G.N., Naimark, D.M., Nowak, C., Ohkubo, T., Pena, M.J., Polkinghorne, K.R., Sabanayagam, C., Sairenchi, T., Schneider, M.P., Shalev, V., Shlipak, M., Solbu, M.D., Stempniewicz, N., Tollitt, J., Valdivielso, J.M., van der Leeuw, J., Wang, A.Y.-M., Wen, C.-P., Woodward, M., Yamagishi, K., Yatsuya, H., Zhang, L., Schaeffner, E., Coresh, J. (2020). Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets. EClinicalMedicine 27 : 100552. ScholarBank@NUS Repository. https://doi.org/10.1016/j.eclinm.2020.100552 25895370 https://scholarbank.nus.edu.sg/handle/10635/197437 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Lancet Publishing Group Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic cardiovascular disease
Chronic kidney disease
meta-analysis
risk prediction
spellingShingle cardiovascular disease
Chronic kidney disease
meta-analysis
risk prediction
Matsushita, K.
Jassal, S.K.
Sang, Y.
Ballew, S.H.
Grams, M.E.
Surapaneni, A.
Arnlov, J.
Bansal, N.
Bozic, M.
Brenner, H.
Brunskill, N.J.
Chang, A.R.
Chinnadurai, R.
Cirillo, M.
Correa, A.
Ebert, N.
Eckardt, K.-U.
Gansevoort, R.T.
Gutierrez, O.
Hadaegh, F.
He, J.
Hwang, S.-J.
Jafar, T.H.
Kayama, T.
Kovesdy, C.P.
Landman, G.W.
Levey, A.S.
Lloyd-Jones, D.M.
Major, R.W.
Miura, K.
Muntner, P.
Nadkarni, G.N.
Naimark, D.M.
Nowak, C.
Ohkubo, T.
Pena, M.J.
Polkinghorne, K.R.
Sabanayagam, C.
Sairenchi, T.
Schneider, M.P.
Shalev, V.
Shlipak, M.
Solbu, M.D.
Stempniewicz, N.
Tollitt, J.
Valdivielso, J.M.
van der Leeuw, J.
Wang, A.Y.-M.
Wen, C.-P.
Woodward, M.
Yamagishi, K.
Yatsuya, H.
Zhang, L.
Schaeffner, E.
Coresh, J.
Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
description 10.1016/j.eclinm.2020.100552
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Matsushita, K.
Jassal, S.K.
Sang, Y.
Ballew, S.H.
Grams, M.E.
Surapaneni, A.
Arnlov, J.
Bansal, N.
Bozic, M.
Brenner, H.
Brunskill, N.J.
Chang, A.R.
Chinnadurai, R.
Cirillo, M.
Correa, A.
Ebert, N.
Eckardt, K.-U.
Gansevoort, R.T.
Gutierrez, O.
Hadaegh, F.
He, J.
Hwang, S.-J.
Jafar, T.H.
Kayama, T.
Kovesdy, C.P.
Landman, G.W.
Levey, A.S.
Lloyd-Jones, D.M.
Major, R.W.
Miura, K.
Muntner, P.
Nadkarni, G.N.
Naimark, D.M.
Nowak, C.
Ohkubo, T.
Pena, M.J.
Polkinghorne, K.R.
Sabanayagam, C.
Sairenchi, T.
Schneider, M.P.
Shalev, V.
Shlipak, M.
Solbu, M.D.
Stempniewicz, N.
Tollitt, J.
Valdivielso, J.M.
van der Leeuw, J.
Wang, A.Y.-M.
Wen, C.-P.
Woodward, M.
Yamagishi, K.
Yatsuya, H.
Zhang, L.
Schaeffner, E.
Coresh, J.
format Article
author Matsushita, K.
Jassal, S.K.
Sang, Y.
Ballew, S.H.
Grams, M.E.
Surapaneni, A.
Arnlov, J.
Bansal, N.
Bozic, M.
Brenner, H.
Brunskill, N.J.
Chang, A.R.
Chinnadurai, R.
Cirillo, M.
Correa, A.
Ebert, N.
Eckardt, K.-U.
Gansevoort, R.T.
Gutierrez, O.
Hadaegh, F.
He, J.
Hwang, S.-J.
Jafar, T.H.
Kayama, T.
Kovesdy, C.P.
Landman, G.W.
Levey, A.S.
Lloyd-Jones, D.M.
Major, R.W.
Miura, K.
Muntner, P.
Nadkarni, G.N.
Naimark, D.M.
Nowak, C.
Ohkubo, T.
Pena, M.J.
Polkinghorne, K.R.
Sabanayagam, C.
Sairenchi, T.
Schneider, M.P.
Shalev, V.
Shlipak, M.
Solbu, M.D.
Stempniewicz, N.
Tollitt, J.
Valdivielso, J.M.
van der Leeuw, J.
Wang, A.Y.-M.
Wen, C.-P.
Woodward, M.
Yamagishi, K.
Yatsuya, H.
Zhang, L.
Schaeffner, E.
Coresh, J.
author_sort Matsushita, K.
title Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
title_short Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
title_full Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
title_fullStr Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
title_full_unstemmed Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
title_sort incorporating kidney disease measures into cardiovascular risk prediction: development and validation in 9 million adults from 72 datasets
publisher Lancet Publishing Group
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/197437
_version_ 1821209583015690240