Evidence map›Paper›PMID 32080153›Full record

SynthesisMedicine2020

Efficacy and safety of TCM Yangxin Anshen Therapy for insomnia: A systematic review and meta-analysis.

Feizhou Li, Bo Xu, Heyuan Shi, Tong Zhang, Ziyu Song, Yanhua Chen, Ling Liu, Ping Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

8 authors.

Feizhou LiClinical College of Traditional Chinese Medicine.
Bo XuInstitute of Gerontology.
Heyuan ShiInstitute of Gerontology.
Tong ZhangClinical College of Traditional Chinese Medicine.
Ziyu SongClinical College of Traditional Chinese Medicine.
Yanhua ChenClinical College of Traditional Chinese Medicine.
Ling LiuThe First Clinical College, Hubei University of Chinese Medicine.
Ping WangInstitute of Gerontology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese Medicine (TCM) has gradually drawn the attention of clinicians as an alternative choice for insomniacs and TCM Yangxin Anshen Therapy (TYAT) is a crucial therapy of treating insomniacs. The purpose of this study was to evaluate the efficacy and safety of TYAT for insomnia.

methodsSeven electronic databases were searched from inception to July 2019. Two authors independently identified Randomized Controlled Trials (RCTs), extracted data and assessed risk of bias by Cochrane risk bias assessment tool. Comprehensive meta-analysis was conducted with the Review Manager for eligible and appropriate studies.

resultsFourteen trials (1549 participants) were finally included in this study. The included studies were of moderate-to-high quality. Twelve trials reported the specific methods of random sequence generation, and 4 of them used the allocation concealment. Blinding of participants and personnel were used in 7 studies, and blinding of outcome assessment was performed in 3 studies. The main meta-analysis showed:

conclusion: TYAT is an effective alternative therapy for insomnia, and its clinical application appears safe. The conclusions of this paper have a certain reference value for further research and clinical practice. TRIAL REGISTRATION NUMBER: PROSPERO CRD 42019135115.

Indexed as

Medicine, Chinese TraditionalDrugs, Chinese HerbalHumansSleep Initiation and Maintenance DisordersDrugs, Chinese Herbal

Identifiers

PMID32080153
PMCPMC7034646

What OpenQuestion holds

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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.