Efficacy and Safety of Jinshuibao Capsule in Diabetic Nephropathy : A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Copyright © 2022 Xinyu Yu et al..

Objective: This systematic review was able to evaluate the clinical evidence of JSBC in the randomized controlled trial (RCT) of diabetic nephropathy.

Methods: The Chinese and English literatures published in PubMed, Cochrane Library, VIP, Wanfang Data, CNKI, and CBM before July 30, 2019, were retrieved. This study includes only randomized controlled trials of treatments related to diabetic nephropathy. We assessed the methodological quality of the subjects involved according to the assessment criteria in 5.3.3 of the Cochrane Assessment Manual. RevMan 3.5.5 software was used to analyze the relevant data, meta-analysis, and inverted funnel analysis chart.

Results: This study included 26 RCTs, including 4676 patients in total (2342 cases in the experimental group and 2334 cases in the control group). The results of 8 randomized controlled trials showed that urinary microprotein excretion rate (UAER) significantly decreased (P < 0.0001) before and after treatment of diabetic nephropathy.

Conclusion: The available clinical evidence has suggested that JSBC combined with western drugs is differentially effective in the treatment of diabetic nephropathy. The combination of JSBC with western medicine is more effective. However, due to the small amount and low quality of the included literatures, the current evidence is not certain to be fully clinically applicable.

Errataetall:

RetractionIn: Comput Math Methods Med. 2023 Dec 6;2023:9813031. - PMID 38094458

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:2022

Enthalten in:

Computational and mathematical methods in medicine - 2022(2022) vom: 03., Seite 9671768

Sprache:

Englisch

Beteiligte Personen:

Yu, Xinyu [VerfasserIn]
Yan, Dongmei [VerfasserIn]
Lan, Qin [VerfasserIn]
Fang, Jianhe [VerfasserIn]
Ding, Zhaohui [VerfasserIn]
Guan, Yongmei [VerfasserIn]
Zhu, Weifeng [VerfasserIn]
Yan, Lei [VerfasserIn]
Nie, Heyun [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Meta-Analysis
Retracted Publication
Systematic Review

Anmerkungen:

Date Completed 09.09.2022

Date Revised 14.12.2023

published: Electronic-eCollection

RetractionIn: Comput Math Methods Med. 2023 Dec 6;2023:9813031. - PMID 38094458

Citation Status MEDLINE

doi:

10.1155/2022/9671768

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM34589880X