Meta-analysis of Distribution Frequency of Traditional Chinese Medicine Syndrome in Primary Osteoporosis
10.13422/j.cnki.syfjx.20231150
- VernacularTitle:原发性骨质疏松症中医证候分布频率的Meta分析
- Author:
Hailong WU
1
;
Tianying CHANG
2
;
Yan LU
1
;
Zongjian LUO
3
;
Xiangyang LENG
1
;
Xing LIAO
4
Author Information
1. Changchun University of Chinese Medicine，Changchun 130117，China
2. Evidence-based Medicine Center，Changchun University of Chinese Medicine， Changchun 130117，China
3. Affiliated Hospital of Changchun University of Chinese Medicine，Changchun 130021，China
4. Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences，Beijing 100700，China
- Publication Type:Journal Article
- Keywords:
primary osteoporosis（POP）;
traditional Chinese medicine syndrome;
systematic review;
Meta analysis;
cross-sectional study;
evidence-based medicine approach;
fracture
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2024;30(5):111-117
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo systematically evaluate the distribution of traditional Chinese medicine（TCM） syndromes of primary osteoporosis（POP） in China by using evidence-based medicine methods， and to understand the distribution law of the syndromes. MethodChina National Knowledge Infrastructure（CNKI）， VIP Chinese Science and Technology Journal Database（VIP）， WanFang Data Knowledge Service Platform（WanFang） and China Biology Medicine（CBM） were searched to obtain representative literature， and each database was searched from the 1994 World Health Organization defined diagnostic criteria for osteoporosis until May 1， 2023. Two researchers independently screened literature according to the criteria， extracted data， and cross-checked them. Meta analysis was conducted using R4.1.3， and subgroup analysis was performed. ResultA total of 56 Chinese papers were included， involving 14 415 patients. After standardized classification of syndromes， 11 articles were excluded， and Meta analysis results of the ultimately included 45 Chinese articles showed that the distribution frequencies of liver-kidney Yin deficiency syndrome， spleen-kidney Yang deficiency syndrome and kidney deficiency and blood stasis syndrome in 12 723 patients were 27%［95% confidence interval（CI） 0.24-0.31］， 32%（95% CI 0.29-0.36）， 36%（95% CI 0.30-0.42）. Subgroup analysis showed that there was a statistically significant difference in the distribution of the three TCM syndromes in the north and south（P<0.05）. In addition， the incidence of TCM syndrome fractures in different types of POP was 15%（95% CI 0.09-0.24） for liver-kidney Yin deficiency syndrome， 20%（95% CI 0.12-0.30） for spleen-kidney Yang deficiency syndrome， and 31%（95% CI 0.25-0.39） for kidney deficiency and blood stasis syndrome. ConclusionThe distribution of syndromes in POP patients is mainly kidney deficiency， accompanied by liver and spleen dysfunction. Liver-kidney Yin deficiency syndrome， spleen-kidney Yang deficiency syndrome and kidney deficiency and blood stasis syndrome are all the main syndromes of POP and osteoporotic fractures， and kidney deficiency and blood stasis syndrome is most closely related to the development of osteoporotic fractures. The reference standards for syndrome determination among the included studies are inconsistent， and in the future， it is necessary to focus on their determination standards to obtain consensus research results， at the same time， conduct large-scale syndrome research to obtain representative research results， providing a basis for clinical practice and research.
