Evidence map›Paper›PMID 32419824›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products.

Xuan Xia, Brian H May, Anthony Lin Zhang, Xinfeng Guo, Chuanjian Lu, Charlie C Xue, Qingchun Huang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 35 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Xuan XiaThe Second Clinical College of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou 510120, China.ORCID https://orcid.org/0000-0002-3208-2755
Brian H MayChina-Australia International Research Centre for Chinese Medicine, RMIT University, P.O. Box 71, Bundoora, Victoria 3083, Australia.ORCID https://orcid.org/0000-0002-5864-3020
Anthony Lin ZhangChina-Australia International Research Centre for Chinese Medicine, RMIT University, P.O. Box 71, Bundoora, Victoria 3083, Australia.ORCID https://orcid.org/0000-0002-0968-9380
Xinfeng GuoThe Second Clinical College of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-2699-9740
Chuanjian LuThe Second Clinical College of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou 510120, China.
Charlie C XueChina-Australia International Research Centre for Chinese Medicine, RMIT University, P.O. Box 71, Bundoora, Victoria 3083, Australia.ORCID https://orcid.org/0000-0001-6937-9088
Qingchun HuangThe Second Clinical College of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-1689-8006
Guangzhou University of Chinese Medicine · CNRMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is an autoimmune disease characterized by multijoint swelling, pain, and destruction of the synovial joints. Treatments are available but new therapies are still required. One source of new therapies is natural products, including herbs used in traditional medicines. In China and neighbouring countries, natural products have been used throughout recorded history and are still in use for RA and its symptoms. This study used text-mining of a database of classical Chinese medical books to identify candidates for future clinical and experimental investigations of therapeutics for RA.

methodsThe database Encyclopaedia of Traditional Chinese Medicine (

Identifiers

PMID32419824
PMCPMC7206865
OpenAlexW3022067294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.