Table 1.
References | Design | Age mean | Subjects N(n1 + n2) | Year | Location | Population | MDC component |
---|---|---|---|---|---|---|---|
Barrett [19] | RCT | 67 | 474 (238 + 236) | 1.7 | Canada | CKD3–4 | 1 + 2 |
Chen [14] | Cohort | 63 | 822 (391 + 431) | 5 | Taiwan | CKD3–5 | 1 + 2 + 3 + 4 + 5 |
Chen [21] | Cohort | 62 | 1206 (592 + 614) | 3 | Taiwan | CKD3B–5 | 1 + 2 + 3 + 4 |
Chen [6] | Cohort | 65 | 1056 (528 + 528) | 3 | Taiwan | CKD3–5 | 1 + 2 + 3 + 4 + 5 |
Curtis [16] | Cohort | 62 | 288 (132 + 156) | 3.4 | Canada, Italy | CKD5 | 1 + 2 + 3 + 4 + 5 |
Fenton [17] | Cohort | 63 | 365 (171 + 194) | 4 | UK | CKD4–5 | 1 + 2 + 3 + 5 |
Goldstein [32] | Cohort | 58 | 87 (61 + 26) | 2.3 | Canada | CKD3–5 | 1 + 2 + 3 + 4 + 5 |
Hemmelgarn [33] | Cohort | 76 | 374 (187 + 187) | 3.5 | Canada | CKD3–5 | 1 + 2 + 3 + 5 |
Peeters [22] | RCT | 59 | 788 (395 + 393) | 5.7 | Netherland | CKD1–5 | 1 + 2 |
Rognant [20] | Cohort | 66 | 160 (40 + 120) | 1 | France | CKD4–5 | 1 + 2 |
Wei [18] | Cohort | 60 | 140 (71 + 69) | 1 | Taiwan | CKD4–5 | 1 + 2 + 3 |
Wu [15] | Cohort | 63 | 573 (287 + 286) | 1 | Taiwan | CKD4–5 | 1 + 2 + 3 |
Yeoh [34] | Cohort | 60.3 | 103 (68 + 35) | 4 | USA | CKD5 | 1 + 2 |
Yu [31] | RCT | 64 | 445 (232 + 213) | 2.8 | Taiwan | CKD3–5 | 1 + 2 + 3 |
Chan [23] | RCT | 50 | 205 (104 + 101) | 2 | Hong Kong | CKD3–5 | 1 + 2 + 3 |
Cho [28] | Cohort | 58 | 298 (149 + 149) | 3.5 | Korea | CKD3B–5 | 1 + 2 + 3 + 4 + 5 |
Harris [35] | Cohort | 69 | 437 (206 + 231) | 5 | USA | CKD3–5 | 1 + 2 + 5 |
Devins [36] | RCT | 59 | 297 (149 + 148) | 1 | Canada | CKD3B–5 | 1 + 2 + 5 |
Levin [37] | Cohort | 76 (37 + 39) | 3.5 | Canada | CKD5 | 1 + 2 | |
Bayliss [38] | Cohort | 68 | 2002 (233 + 1769) | 4 | USA | CKD2–5 | 1 + 2 + 3 + 4 + 5 |
Zhang [39] | Cohort | 58 | 88 (29 + 59) | 3 | China | CKD5 | 1 + 2 + 3 + 5 |
Professionals in MDC include: 1, nephrologist; 2, nurses; 3, dietitian; 4, pharmacists; 5, social workers
RCT randomized controlled trial