Cohort Profile: The Chronic Kidney Disease Prognosis Consortium.

Wright, Jt; Jr,; Appel, L; Greene, T; Astor, Bc; Chalmers, J; MacMahon, S; Woodward, M; Arima, H; Yatsuya, H; Yamashita, K; Toyoshima, H; Tamakoshi, K; Tonelli, M; Hemmelgarn, Br; Bello, A; James, M; Coresh, J; Astor, Bc; Matsushita, K; Sang, Y; Atkins, Rc; Polkinghorne, Kr; Chadban, S; Shankar, A; Klein, R; Klein, Be; Lee, Ke; Wang, H; Wang, F; Zhang, L; Zuo, L; Levin, A; Djurdjev, O; Tonelli, M; Sacks, Fm; Curhan, Gc; Shlipak, M; Peralta, C; Katz, R; Fried, L; Iso, H; Kitamura, A; Ohira, T; Yamagishi, K; Jafar, Th; Islam, M; Hatcher, J; Poulter, N; Chaturvedi, N; Landray, Mj; Emberson, Jr; Townend, Jn; Wheeler, Dc; Rothenbacher, D; Brenner, H; Muller, H; Schottker, B; Fox, Cs; Hwang, Sj; Meigs, Jb; Perkins, Rm; Fluck, N; Clark, Le; Prescott, Gj; Marks, A; Black, C; Cirillo, Massimo; Hallan, S; Aasarød, K; Øien, Cm; Radtke, M; Irie, F; Iso, H; Sairenchi, T; Yamagishi, K; Smith, Dh; Weiss, Jw; Johnson, Es; Thorp, Ml; Collins, Aj; Vassalotti, Ja; Li, S; Chen, Sc; Lee, Bj; Wetzels, Jf; Blankestijn, Pj; Van, Zuilen; Ad,; Sarnak, M; Levey, As; Inker, L; Menon, V; Shlipak, M; Sarnak, M; Peralta, C; Katz, R; Kramer, Hj; Boer, De; Ih,; Kronenberg, F; Kollerits, B; Ritz, E; Roderick, P; Nitsch, D; Fletcher, A; Bulpitt, C; Ishani, A; Neaton, Jd; Froissart, M; Stengel, B; Metzger, M; Haymann, Jp; Houillier, P; Flamant, M; Astor, Bc; Coresh, J; Matsushita, K; Metoki, H; Nakayama, M; Kikuya, M; Imai, Y; Iseki, K; Nelson, Rg; Knowler, Wc; Gansevoort, Rt; Jong, De; Pe,; Mahmoodi, Bk; Bakker, Sj; Hillege, Hl; Van, Der; Harst, P; Jassal, Sk; Barrett Connor, E; Bergstrom, J; Heerspink, Hj; Brenner, Be; Zeeuw, De; D,; Warnock, Dg; Muntner, P; Judd, S; McClellan, W; Jee, Sh; Kimm, H; Jo, J; Mok, Y; Choi, E; Rossing, P; Parving, Hh; Tangri, N; Naimark, D; Wen, Cp; Wen, Sf; Tsao, Ck; Tsai, Mk; Arnlov, J; Lannfelt, L; Larsson, A; Bilo, Hj; Joosten, H; Kleefstra, N; Groenier, Kh; Drion, I; Astor, Bc; Coresh, J; Gansevoort, Rt; Hemmelgarn, Br; Jong, De; Pe,; Levey, As; Levin, A; Matsushita, K; Wen, Cp; Woodward, M; Ballew, Sh; Coresh, J; Grams, M; Mahmoodi, Bk; Matsushita, K; Sang, Y; Woodward, M; Camarata, L; Hui, X; Seltzer, J; Winegrad, H.

doi:10.1093/ije/dys173

The Chronic Kidney Disease Prognosis Consortium (CKD-PC) was established in 2009 to provide comprehensive evidence about the prognostic impact of two key kidney measures that are used to define and stage CKD, estimated glomerular filtration rate (eGFR) and albuminuria, on mortality and kidney outcomes. CKD-PC currently consists of 46 cohorts with data on these kidney measures and outcomes from >2 million participants spanning across 40 countries/regions all over the world. CKD-PC published four meta-analysis articles in 2010-11, providing key evidence for an international consensus on the definition and staging of CKD and an update for CKD clinical practice guidelines. The consortium continues to work on more detailed analysis (subgroups, different eGFR equations, other exposures and outcomes, and risk prediction). CKD-PC preferably collects individual participant data but also applies a novel distributed analysis model, in which each cohort runs statistical analysis locally and shares only analysed outputs for meta-analyses. This distributed model allows inclusion of cohorts which cannot share individual participant level data. According to agreement with cohorts, CKD-PC will not share data with third parties, but is open to including further eligible cohorts. Each cohort can opt in/out for each topic. CKD-PC has established a productive and effective collaboration, allowing flexible participation and complex meta-analyses for studying CKD

Titolo:	Cohort Profile: The Chronic Kidney Disease Prognosis Consortium.
Autori:	Wright, JT Jr Appel, L Greene, T Astor, BC Chalmers, J MacMahon, S Woodward, M Arima, H Yatsuya, H Yamashita, K Toyoshima, H Tamakoshi, K Tonelli, M Hemmelgarn, BR Bello, A James, M Coresh, J Astor, BC Matsushita, K Sang, Y Atkins, RC Polkinghorne, KR Chadban, S Shankar, A Klein, R Klein, BE Lee, KE Wang, H Wang, F Zhang, L Zuo, L Levin, A Djurdjev, O Tonelli, M Sacks, FM Curhan, GC Shlipak, M Peralta, C Katz, R Fried, L Iso, H Kitamura, A Ohira, T Yamagishi, K Jafar, TH Islam, M Hatcher, J Poulter, N Chaturvedi, N Landray, MJ Emberson, JR Townend, JN Wheeler, DC Rothenbacher, D Brenner, H Muller, H Schottker, B Fox, CS Hwang, SJ Meigs, JB Perkins, RM Fluck, N Clark, LE Prescott, GJ Marks, A Black, C CIRILLO, Massimo Hallan, S Aasarød, K Øien, CM Radtke, M Irie, F Iso, H Sairenchi, T Yamagishi, K Smith, DH Weiss, JW Johnson, ES Thorp, ML Collins, AJ Vassalotti, JA Li, S Chen, SC Lee, BJ Wetzels, JF Blankestijn, PJ van, Zuilen AD Sarnak, M Levey, AS Inker, L Menon, V Shlipak, M Sarnak, M Peralta, C Katz, R Kramer, HJ de, Boer IH Kronenberg, F Kollerits, B Ritz, E Roderick, P Nitsch, D Fletcher, A Bulpitt, C Ishani, A Neaton, JD Froissart, M Stengel, B Metzger, M Haymann, JP Houillier, P Flamant, M Astor, BC Coresh, J Matsushita, K Metoki, H Nakayama, M Kikuya, M Imai, Y Iseki, K Nelson, RG Knowler, WC Gansevoort, RT de, Jong PE Mahmoodi, BK Bakker, SJ Hillege, HL van, der Harst, P Jassal, SK Barrett Connor, E Bergstrom, J Heerspink, HJ Brenner, BE de, Zeeuw D Warnock, DG Muntner, P Judd, S McClellan, W Jee, SH Kimm, H Jo, J Mok, Y Choi, E Rossing, P Parving, HH Tangri, N Naimark, D Wen, CP Wen, SF Tsao, CK Tsai, MK Arnlov, J Lannfelt, L Larsson, A Bilo, HJ Joosten, H Kleefstra, N Groenier, KH Drion, I Astor, BC Coresh, J Gansevoort, RT Hemmelgarn, BR de, Jong PE Levey, AS Levin, A Matsushita, K Wen, CP Woodward, M Ballew, SH Coresh, J Grams, M Mahmoodi, BK Matsushita, K Sang, Y Woodward, M Camarata, L Hui, X Seltzer, J Winegrad, H. mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2012
Rivista:	INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Abstract:	The Chronic Kidney Disease Prognosis Consortium (CKD-PC) was established in 2009 to provide comprehensive evidence about the prognostic impact of two key kidney measures that are used to define and stage CKD, estimated glomerular filtration rate (eGFR) and albuminuria, on mortality and kidney outcomes. CKD-PC currently consists of 46 cohorts with data on these kidney measures and outcomes from >2 million participants spanning across 40 countries/regions all over the world. CKD-PC published four meta-analysis articles in 2010-11, providing key evidence for an international consensus on the definition and staging of CKD and an update for CKD clinical practice guidelines. The consortium continues to work on more detailed analysis (subgroups, different eGFR equations, other exposures and outcomes, and risk prediction). CKD-PC preferably collects individual participant data but also applies a novel distributed analysis model, in which each cohort runs statistical analysis locally and shares only analysed outputs for meta-analyses. This distributed model allows inclusion of cohorts which cannot share individual participant level data. According to agreement with cohorts, CKD-PC will not share data with third parties, but is open to including further eligible cohorts. Each cohort can opt in/out for each topic. CKD-PC has established a productive and effective collaboration, allowing flexible participation and complex meta-analyses for studying CKD
Handle:	http://hdl.handle.net/11386/3889377
Appare nelle tipologie:	1.1 Articoli su Rivista

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