Evidence map›Paper›PMID 33546087›Full record

ArticleMedicine2021

Chinese herbal medicine Du-Huo-Ji-Sheng-decoction for knee osteoarthritis: A protocol for systematic review and meta-analysis.

Ji-Hui Cao, Da-Gang Feng, Yan-Zhi Wang, Hai-Yan Zhang, Yu-Dong Zhao, Zai-Hui Sun, Shu-Gui Feng, Yi Chen, Ming-Shuang Zhu

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Ji-Hui CaoSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.ORCID 0000-0003-0506-9077
Da-Gang FengAffiliated Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Yan-Zhi WangAffiliated Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Hai-Yan ZhangSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.
Yu-Dong ZhaoSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.
Zai-Hui SunSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.
Shu-Gui FengSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.
Yi ChenSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.
Ming-Shuang ZhuSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine.

Funding

Chengdu University of Traditional Chinese Medicine 2018JC018
6 · The paper itself

Abstract

backgroundAs a classic prescription for treating knee osteoarthritis, Du-Huo-Ji-Sheng-decoction has been widely recognized for its clinical efficacy. The purpose of this systematic review and meta-analysis is to evaluate the effectiveness and safety of Du-Huo-Ji-Sheng-decoction in the treatment of knee osteoarthritis.

methodsThe following databases will be searched from January 2011 to December 2020: PubMed, Embase, Web of Science, Cochrane Library, Chinese Biomedical Medical Database, China National Knowledge Infrastructure, Chinese Science and Technology Periodical Database, and Wanfang Database. Statistical analysis will be processed by RevMan V.5.3 software.

resultsThis study will provide an assessment of the current state of DHJSD in the treatment of KOA, aiming to show the efficacy and safety of DHJSD.

conclusionThis study will provide evidence to judge whether DHJSD is an effective intervention for KOA.

Indexed as

Drugs, Chinese HerbalHumansMeta-Analysis as TopicOsteoarthritis, KneeSystematic Reviews as TopicDrugs, Chinese Herbal

Identifiers

PMID33546087
PMCPMC7837918

What OpenQuestion holds

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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.