Effect of Chinese medicine prescription on nephrotic syndrome: A protocol for systematic review and meta-analysis.


Journal

Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R

Informations de publication

Date de publication:
05 Jun 2020
Historique:
entrez: 6 6 2020
pubmed: 6 6 2020
medline: 26 6 2020
Statut: ppublish

Résumé

Nephrotic syndrome (NS) is a common chronic recurrent kidney disease. Many trials have shown that Chinese medicine prescription (CMP) can effectively treat NS. The program aims to evaluate the efficacy and safety of CMP for NS. This systematic evaluation will entail an electronic and manual search of all CMP for NS from inception to February, 2020, regardless of the publication status or language. Databases include PubMed, Embase, Springer, Web of Science, the Cochrane Library, the World Health Organization International Clinical Trial Registration Platform, the Chinese Medicine Database, the China National Knowledge Infrastructure, the Chinese Biomedical Literature Database, the China Science Journal Database, and the Wanfang Database. Other sources of information, including bibliographies and meeting minutes for identified publications, will also be searched. A manual search for grey literature, including unpublished conference articles will be performed. Additionally, any clinical randomized controlled trials related to CMP for NS, regardless of the publication status and language limitations, will be included in the study. Study selection, data extraction, and research quality assessments will be conducted independently by 2 researchers. The main result was the total clinical efficacy rate or other validated scales after at least 2 weeks of treatment. Secondary outcomes included 24-hour urine protein quantification, blood urea nitrogen, serum creatinine, C-reactive protein, tumor necrosis factor-α, and interleukin 6, recurrence rates and adverse events during follow-up. Implement the Cochrane RevMan V5.3 bias assessment tool to assess bias risk, data integration risk, meta-analysis risk, and subgroup analysis risk (if conditions are met). Mean difference, standard mean deviation and binary data will be used to represent continuous results. This study will provide a comprehensive review and evaluation of CMP for the treatment of NS. This study will provide new evidence for evaluating the effectiveness and side effects of CMP on NS. Since the data is not personalized, formal ethical approval is not required. INPLASY202040181.

Sections du résumé

BACKGROUND BACKGROUND
Nephrotic syndrome (NS) is a common chronic recurrent kidney disease. Many trials have shown that Chinese medicine prescription (CMP) can effectively treat NS. The program aims to evaluate the efficacy and safety of CMP for NS.
METHODS METHODS
This systematic evaluation will entail an electronic and manual search of all CMP for NS from inception to February, 2020, regardless of the publication status or language. Databases include PubMed, Embase, Springer, Web of Science, the Cochrane Library, the World Health Organization International Clinical Trial Registration Platform, the Chinese Medicine Database, the China National Knowledge Infrastructure, the Chinese Biomedical Literature Database, the China Science Journal Database, and the Wanfang Database. Other sources of information, including bibliographies and meeting minutes for identified publications, will also be searched. A manual search for grey literature, including unpublished conference articles will be performed. Additionally, any clinical randomized controlled trials related to CMP for NS, regardless of the publication status and language limitations, will be included in the study. Study selection, data extraction, and research quality assessments will be conducted independently by 2 researchers. The main result was the total clinical efficacy rate or other validated scales after at least 2 weeks of treatment. Secondary outcomes included 24-hour urine protein quantification, blood urea nitrogen, serum creatinine, C-reactive protein, tumor necrosis factor-α, and interleukin 6, recurrence rates and adverse events during follow-up. Implement the Cochrane RevMan V5.3 bias assessment tool to assess bias risk, data integration risk, meta-analysis risk, and subgroup analysis risk (if conditions are met). Mean difference, standard mean deviation and binary data will be used to represent continuous results.
RESULTS RESULTS
This study will provide a comprehensive review and evaluation of CMP for the treatment of NS.
CONCLUSION CONCLUSIONS
This study will provide new evidence for evaluating the effectiveness and side effects of CMP on NS. Since the data is not personalized, formal ethical approval is not required.
INPLASY REGISTRATION NUMBER UNASSIGNED
INPLASY202040181.

Identifiants

pubmed: 32502039
doi: 10.1097/MD.0000000000020622
pii: 00005792-202006050-00077
pmc: PMC7306324
doi:

Substances chimiques

Drugs, Chinese Herbal 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20622

Références

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Auteurs

Yanli Deng (Y)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Leixiao Zhang (L)

Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Aiwei Wen (A)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Dongxian Xu (D)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Wenping Wang (W)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Yuhao Hou (Y)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Zhen Liu (Z)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Lin Yang (L)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Tao Shen (T)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Qin Luo (Q)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Wei Wu (W)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

Yuanshu Ou (Y)

Nephropathy Department, Sichuan Second Chinese Medicine Hospital.

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Classifications MeSH