Evidence map›Paper›PMID 32586308›Full record

SynthesisBMC complementary medicine and therapies2020

Methodological and reporting quality evaluation of meta-analyses on the Chinese herbal preparation Zheng Qing Feng Tong Ning for the treatment of rheumatoid arthritis.

Mingge Liang, Lan Yan, Zhigang Mei, Yanan Luo, Xiaoqiang Hou, Zhitao Feng

Abstract readSystematic Review
In one paragraph

Synthesis in BMC complementary medicine and therapies, 2020. 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. Review
  3. Article
  4. Review
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

6 authors.

Mingge LiangThird-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College of China Three Gorges University, Yichang, 443002, Hubei, China.
Lan YanThird-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College of China Three Gorges University, Yichang, 443002, Hubei, China.
Zhigang MeiThird-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College of China Three Gorges University, Yichang, 443002, Hubei, China.
Yanan LuoThird-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College of China Three Gorges University, Yichang, 443002, Hubei, China.
Xiaoqiang HouInstitute of Rheumatology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, 443003, Hubei, China.
Zhitao FengThird-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College of China Three Gorges University, Yichang, 443002, Hubei, China. fengzhitao2008@126.com.

Funding

Hubei Provincial Natural Science Foundation 2017CFB126Natural Science Foundation of China 81703783
6 · The paper itself

Abstract

backgroundZheng Qing Feng Tong Ning (ZQFTN) is a sinomenine (SIN) preparation that has been used in clinical practice. Our study aimed to assess the methodological and reporting quality of meta-analyses on the Chinese herbal formula ZQFTN for the treatment of rheumatoid arthritis (RA).

methodsSystematic searches were carried out with the 5 following electronic databases from inception to July 2019: China National Knowledge Infrastructure (CNKI), Wanfang, VIP database for Chinese technical periodicals (VIP), Cochrane Library and PubMed. The quality of the methodology and reporting was measured with the assessment of multiple systematic reviews 2 (AMSTAR 2) scale, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE).

resultsEight studies were identified. Among the 16 items of the AMSTAR 2 scale, four items were optimally reported ("Y" =100% of the items), and another four items were poorly reported ("Y" =0% of the items). Only 2 studies received a good overall score ("Y" ≥50% of the items). Regarding the PRISMA statement, the scores of 5 studies were lower than the average score (17.69), indicating that the quality of the reports was very low. In terms of the GRADE, none of the 61 results were of high quality (0.0%). Fifteen results were of medium quality (25%), 34 were of low quality (55%), and 12 were of very low quality (20%). Among the five downgrading factors, deviation risk (n = 61, 100%) was the most common downgrading factor, followed by inconsistency (n = 30, 50%), publication bias (n = 17, 28%), inaccuracy (n = 11, 18%) and indirectness (n = 0, 0%).

conclusionsThe methodological and reporting quality of the meta-analyses and systematic reviews in the included studies are less than optimal, and researchers should undergo additional training and follow the AMSTAR 2 scale, PRISMA statement and GRADE to design high-quality studies in the future.

Indexed as

Arthritis, RheumatoidDrugs, Chinese HerbalHumansMeta-Analysis as TopicSystematic Reviews as TopicDrugs, Chinese HerbalZhengqing FengtongningMeta-analysisMethodologyReporting qualityRheumatoid arthritisSinomenineZheng Qing Feng Tong Ning

Identifiers

PMID32586308
PMCPMC7318442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.