Evidence mapPaperPMID 36969172Full record

SynthesisFrontiers in immunology2023

Efficacy and safety of TCMs with anti-inflammatory effect in patients with rheumatoid arthritis: A network meta-analysis.

Jinying Fang, Mingxuan Liu, Zhenghui Huang, Yucao Ma, Yiwen Wang, Xiaojia Zheng, Liu Lv, Chunpin Liu, Wei Li, Zhenghong Zhu and 4 more

Full text readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Targeting Therapeutic Windows for Rheumatoid Arthritis Prevention.Chinese journal of integrative medicine · 2024
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jinying FangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Mingxuan LiuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhenghui HuangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yucao MaDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yiwen WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaojia ZhengDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Liu LvDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chunpin LiuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Wei LiDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhenghong ZhuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Huachao ZhuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jie HuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yonghong WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Hailong WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional Chinese medicines (TCMs), such as Tripterygium wilfordii Hook F (TwHF), Glycyrrhiza uralensis, Caulis sinomenii and others have anti-inflammatory effects. They are widely used in China to treat rheumatoid arthritis (RA), but proof of their use as an evidence-based medicine is little. The aim of this network meta-analysis (NMA) was to evaluate the efficacy and safety of TCMs. Methods: By searching online databases and using a manual retrieval method, randomized controlled trials (RCTs) that met specific selection criteria were included in the meta-analysis. The search included papers that were published between the establishment of the databases and November 10, 2022. Analyses were performed using Stata software (version 14) and Review Manager (version 5.3). Results: 61 papers with 6316 subjects were included in the current NMA. For ACR20, MTX plus SIN therapy (94.30%) may be a significant choice. For ACR50 and ACR70, MTX plus IGU therapy (95.10%, 75.90% respectively) performed better than other therapies. IGU plus SIN therapy (94.80%) may be the most promising way to reduce DAS-28, followed by MTX plus IGU therapy (92.80%) and TwHF plus IGU therapy (83.80%). In the analysis of the incidence of adverse events, MTX plus XF therapy (92.50%) had the least potential, while LEF therapy (22.10%) may cause more adverse events. At the same time, TwHF therapy, KX therapy, XF therapy and ZQFTN therapy were not inferior to MTX therapy. Conclusions: TCMs with anti-inflammatory effect were not inferior to MTX therapy in the treatment of RA patients. Combining with TCMs can improve the clinic efficacy and reduce the possibility of adverse events of DMARDs, which may be a promising regimen. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022313569.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidAnti-Inflammatory AgentsHumansMethotrexateTripterygiumAnti-Inflammatory AgentsAntirheumatic AgentsMethotrexatenetwork meta-analysisrheumatoid arthritisSinomeninetraditional Chinese medicinesTripterygium wilfordii Hook F

Identifiers

PMID36969172
PMCPMC10030962

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read123
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.