PMID- 38114157
OWN - NLM
STAT- MEDLINE
DCOM- 20231221
LR  - 20231221
IS  - 1001-5302 (Print)
IS  - 1001-5302 (Linking)
VI  - 48
IP  - 20
DP  - 2023 Oct
TI  - [Evidence mapping analysis of traditional Chinese medicine intervention in 
      pulmonary fibrosis].
PG  - 5641-5650
LID - 10.19540/j.cnki.cjcmm.20230618.501 [doi]
AB  - This study utilized evidence mapping methodology to systematically identify, 
      describe, and evaluate the evidence from relevant research on traditional Chinese 
      medicine(TCM) interventions in patients with pulmonary fibrosis. CNKI, Wanfang, 
      VIP, SinoMed, PubMed, Web of Science, EMbase, and Cochrane Library were searched 
      from database inception to March 2023 for systematic 
      reviews/Meta-analysis/network Meta-analysis on TCM interventions in pulmonary 
      fibrosis. The quality of included studies was assessed using the AMSTAR 2 scale, 
      and the evidence mapping approach was employed to present comprehensive 
      information on populations, intervention methods, the sample size in systematic 
      reviews/Meta-analysis, and conclusion classifications. Ultimately, 44 systematic 
      reviews/Meta-analysis/network Meta-analysis were included. Apart from syndrome 
      differentiation and treatment, TCM injections accounted for a significant 
      proportion of the observed interventions. The treatment methods were mainly 
      focused on nourishing Qi and Yin, promoting blood circulation, resolving stasis, 
      and dredging collaterals. The results from the included studies demonstrated that 
      TCM treatment for pulmonary fibrosis could improve efficacy, increase lung 
      function, improve PaO_(2 )levels, increase the 6-minute walk distance(6MWD), 
      alleviate clinical symptoms, and enhance patients' quality of life. Based on the 
      assessment using the AMSTAR 2 scale, methodological issues were identified, 
      including the lack of protocol registration, failure to provide a list of 
      excluded literature, and incomplete explanations regarding the impact of 
      heterogeneity and bias on the results. The evidence mapping revealed that 42 
      conclusions were beneficial, while two conclusions were potentially beneficial. 
      Overall, the quality of evidence was relatively low, primarily due to 
      methodological imprecision and publication bias. Although TCM showed certain 
      efficacy in the treatment of pulmonary fibrosis, the quality of reported 
      literature, methodological quality, and overall evidence quality need 
      improvement. It is recommended to conduct high-quality and standardized studies 
      in the future to provide better evidence-based guidance.
FAU - Sun, Wen-Yu
AU  - Sun WY
AD  - Science and Information Center, Shanghai University of Traditional Chinese 
      Medicine Shanghai 201203, China.
FAU - Zhang, Xue-Qin
AU  - Zhang XQ
AD  - Science and Information Center, Shanghai University of Traditional Chinese 
      Medicine Shanghai 201203, China.
FAU - Guo, Yu-Jie
AU  - Guo YJ
AD  - Science and Information Center, Shanghai University of Traditional Chinese 
      Medicine Shanghai 201203, China.
FAU - Deng, Hong-Yong
AU  - Deng HY
AD  - Science and Information Center, Shanghai University of Traditional Chinese 
      Medicine Shanghai 201203, China.
LA  - chi
PT  - English Abstract
PT  - Journal Article
PT  - Meta-Analysis
PL  - China
TA  - Zhongguo Zhong Yao Za Zhi
JT  - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese 
      materia medica
JID - 8913656
SB  - IM
MH  - Humans
MH  - *Medicine, Chinese Traditional
MH  - *Pulmonary Fibrosis/drug therapy
MH  - Quality of Life
MH  - Systematic Reviews as Topic
MH  - Network Meta-Analysis
OTO - NOTNLM
OT  - AMSTAR 2 scale
OT  - evidence mapping
OT  - pulmonary fibrosis
OT  - traditional Chinese medicine
EDAT- 2023/12/20 06:42
MHDA- 2023/12/21 06:43
CRDT- 2023/12/19 20:44
PHST- 2023/12/21 06:43 [medline]
PHST- 2023/12/20 06:42 [pubmed]
PHST- 2023/12/19 20:44 [entrez]
AID - 10.19540/j.cnki.cjcmm.20230618.501 [doi]
PST - ppublish
SO  - Zhongguo Zhong Yao Za Zhi. 2023 Oct;48(20):5641-5650. doi: 
      10.19540/j.cnki.cjcmm.20230618.501.