Evidence map›Paper›PMID 33204694›Full record

ArticleBioMed research international2020

Identifying Compound Effect of Drugs on Rheumatoid Arthritis Treatment Based on the Association Rule and a Random Walking-Based Model.

Yanyan Fang, Jian Liu, Ling Xin, Yue Sun, Lei Wan, Dan Huang, Jianting Wen, Ying Zhang, Bing Wang

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Review
  3. Frontiers in immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
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  18. RadixBioMed research international · 2022
    Article
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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

9 authors.

Yanyan FangDepartment of Clinical Data Center, The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China.ORCID https://orcid.org/0000-0001-8754-7786
Jian LiuDepartment of Rheumatism Immunity, The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China.ORCID https://orcid.org/0000-0003-3101-7553
Ling XinDepartment of Clinical Data Center, The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China.ORCID https://orcid.org/0000-0001-9986-4551
Yue SunDepartment of Rheumatism Immunity, The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China.ORCID https://orcid.org/0000-0001-7903-3638
Lei WanDepartment of Rheumatism Immunity, The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China.ORCID https://orcid.org/0000-0001-7855-0422
Dan HuangGraduate Faculty, Anhui University of Chinese Medicine, Hefei 230038, China.ORCID https://orcid.org/0000-0002-9327-8583
Jianting WenGraduate Faculty, Anhui University of Chinese Medicine, Hefei 230038, China.ORCID https://orcid.org/0000-0003-2757-8462
Ying ZhangGraduate Faculty, Anhui University of Chinese Medicine, Hefei 230038, China.ORCID https://orcid.org/0000-0002-3247-2446
Bing WangSchool of Electrical & Informatics Engineering, Anhui University of Technology, Maanshan 243002, China.ORCID https://orcid.org/0000-0003-4945-7725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disorder that is diagnosed mainly on the basis of patient signs, symptoms, and laboratory indices. However, the exact causes of RA are unclear. Moreover, there is a lack of any method of dynamically evaluating the efficacy of the medication administered to treat RA. Here, we applied a random walk model to reveal the compatibility among the various constituents of traditional Chinese medicine and evaluate their therapeutic efficacy against RA. Drugs commonly used to treat RA were investigated using cluster analysis. The association rule analysis was applied to identify compatibilities among the constituents. A random walk model was developed to evaluate drug efficacy based on an in-house database comprising the clinical records of 9,408 RA patients. Frequently administered medicines were combined into three correlated sets. The evaluation based on the random walk method showed that the drug combination improved ESR, CRP, C3, C4, and IgA more effectively than any single drug. The present study demonstrated that the TCM constituents complement each other and various combinations of them produce different therapeutic effects on RA treatment.

Indexed as

AlgorithmsArthritis, RheumatoidCluster AnalysisDrugs, Chinese HerbalDrug Therapy, CombinationHumansMedicine, Chinese TraditionalModels, BiologicalDrugs, Chinese Herbal

Identifiers

PMID33204694
PMCPMC7665920

What OpenQuestion holds

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Registered trials

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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.