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基于多学科护理模式对慢性肾脏病患者的有效性的系统评价和荟萃分析计划。

Systematic Review and Meta-Analysis Program Based on Effectiveness of a Multidisciplinary Model of Care for Patients with Chronic Kidney Disease.

机构信息

Nanjing Glomerulonephritis Registry, National Clinical Research Center for Kidney Diseases, Jinling Hospital, Nanjing 210000, China.

出版信息

Contrast Media Mol Imaging. 2022 Jul 19;2022:4315361. doi: 10.1155/2022/4315361. eCollection 2022.

DOI:10.1155/2022/4315361
PMID:35935312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9325573/
Abstract

The effectiveness of the multidisciplinary nursing model in the nursing of chronic kidney disease (CKD) by using meta-analysis is explored. Relevant literatures that are in line with the multidisciplinary nursing model for CKD intervention are searched and screened from domestic and foreign literature databases such as Wanfang Medical Center, CNKNET, VIP, and PubMed, and Meta-analysis is conducted with RevMan 5.2 software. A total of 6 literatures are included, and the publication bias of the included literatures is low. Meta-analysis shows that the multidisciplinary group had a better Hb compliance rate, Hb level, Scr, eGFR, SBP, and DBP than the traditional group. The experimental results show that multidisciplinary nursing intervention can improve the nursing effect of patients with CKD and help to improve Hb, Scr, blood pressure, and glomerular filtration function of patients.

摘要

采用荟萃分析探讨多学科护理模式在慢性肾脏病（CKD）护理中的有效性。从万方医学中心、CNKINET、VIP 和 PubMed 等国内外文献数据库中检索并筛选出符合 CKD 干预的多学科护理模式的相关文献，并使用 RevMan 5.2 软件进行荟萃分析。共纳入 6 篇文献，纳入文献的发表偏倚较低。荟萃分析显示，多学科组的 Hb 依从率、Hb 水平、Scr、eGFR、SBP 和 DBP 均优于传统组。实验结果表明，多学科护理干预可提高 CKD 患者的护理效果，有助于改善患者的 Hb、Scr、血压和肾小球滤过功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/04556a2a795d/CMMI2022-4315361.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/f87b923936ef/CMMI2022-4315361.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/002d06b03a6a/CMMI2022-4315361.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/c0cba7e0ad09/CMMI2022-4315361.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/d17699929330/CMMI2022-4315361.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/d99c1aefb751/CMMI2022-4315361.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/04556a2a795d/CMMI2022-4315361.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/f87b923936ef/CMMI2022-4315361.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/dae01df8701d/CMMI2022-4315361.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/1e07c0eb70f1/CMMI2022-4315361.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/9a8e6d348e6b/CMMI2022-4315361.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/002d06b03a6a/CMMI2022-4315361.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/c0cba7e0ad09/CMMI2022-4315361.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/d17699929330/CMMI2022-4315361.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/d99c1aefb751/CMMI2022-4315361.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1253/9325573/04556a2a795d/CMMI2022-4315361.009.jpg

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