A meta-analysis of N-acetylcysteine in contrast-induced nephrotoxicity: unsupervised clustering to resolve heterogeneity.
A meta-analysis of N-acetylcysteine in contrast-induced nephrotoxicity: unsupervised clustering to resolve heterogeneity.
复制标题
N-乙酰半胱氨酸在对比诱导的肾毒性中的荟萃分析：无监督聚类以解决异质性。
DOI：
10.1186/1741-7015-5-32
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发表时间：
2007-11-14
期刊：
影响因子：
9.3
通讯作者：
Danner RL
中科院分区：
文献类型：
--
作者：
Gonzales DA;Norsworthy KJ;Kern SJ;Banks S;Sieving PC;Star RA;Natanson C;Danner RL
Meta-analyses of N-acetylcysteine (NAC) for preventing contrast-induced nephrotoxicity (CIN) have led to disparate conclusions. Here we examine and attempt to resolve the heterogeneity evident among these trials. Two reviewers independently extracted and graded the data. Limiting studies to randomized, controlled trials with adequate outcome data yielded 22 reports with 2746 patients. Significant heterogeneity was detected among these trials (I2 = 37%; p = 0.04). Meta-regression analysis failed to identify significant sources of heterogeneity. A modified L'Abbé plot that substituted groupwise changes in serum creatinine for nephrotoxicity rates, followed by model-based, unsupervised clustering resolved trials into two distinct, significantly different (p < 0.0001) and homogeneous populations (I2 = 0 and p > 0.5, for both). Cluster 1 studies (n = 18; 2445 patients) showed no benefit (relative risk (RR) = 0.87; 95% confidence interval (CI) 0.68–1.12, p = 0.28), while cluster 2 studies (n = 4; 301 patients) indicated that NAC was highly beneficial (RR = 0.15; 95% CI 0.07–0.33, p < 0.0001). Benefit in cluster 2 was unexpectedly associated with NAC-induced decreases in creatinine from baseline (p = 0.07). Cluster 2 studies were relatively early, small and of lower quality compared with cluster 1 studies (p = 0.01 for the three factors combined). Dialysis use across all studies (five control, eight treatment; p = 0.42) did not suggest that NAC is beneficial. This meta-analysis does not support the efficacy of NAC to prevent CIN.
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影响因子：
2.3
作者：
Allaqaband, S;Tumuluri, R;Bajwa, TK
通讯作者：
Bajwa, TK
影响因子：
--
作者：
Bagshaw, SM;McAlister, FA;Ghali, WA
通讯作者：
Ghali, WA
影响因子：
105.7
作者：
Biondi-Zoccai, GGL;Lotrionte, M;Agostoni, P
通讯作者：
Agostoni, P
影响因子：
120.7
作者：
Burns, KEA;Chu, MWA;Moist, L
通讯作者：
Moist, L
影响因子：
168.9
作者：
Birck, R;Krzossok, S;Braun, C
通讯作者：
Braun, C