Evidence map›Paper›PMID 35959238›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2022

An Apriori Algorithm-Based Association Analysis of Analgesic Drugs in Chinese Medicine Prescriptions Recorded From Patients With Rheumatoid Arthritis Pain.

Wei-Dong Lai, Dian-Ming Li, Jie Yu, Lin Huang, Ming-Zhi Zheng, Yue-Peng Jiang, Song Wang, Jun-Jun Wen, Si-Jia Chen, Cheng-Ping Wen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

11 authors at 2 institutions in 1 country.

Wei-Dong LaiThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Dian-Ming LiCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China.
Jie YuCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China.
Lin HuangCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China.
Ming-Zhi ZhengHangzhou AI Center, China Academy of Information and Communications Technology, Hangzhou, China.
Yue-Peng JiangThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Song WangThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Jun-Jun WenThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Si-Jia ChenThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Cheng-Ping WenThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Yan JinThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNChina Academy of Information and Communications Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain, a common symptom of people with rheumatoid arthritis, usually behaves as persistent polyarthralgia pain and causes serious damage to patients' physical and mental health. Opioid analgesics can lead to a series of side effects like drug tolerance and addiction. Thus, seeking an alternative therapy and screening out the corresponding analgesic drugs is the key to solving the current dilemma. Traditional Chinese Medicine (TCM) therapy has been recognized internationally for its unique guiding theory and definite curative effect. In this study, we used the Apriori Algorithm to screen out potential analgesics from 311 cases that were treated with compounded medication prescription and collected from "Second Affiliated Hospital of Zhejiang Chinese Medical University" in Hangzhou, China. Data on 18 kinds of clinical symptoms and 16 kinds of Chinese herbs were extracted based on this data mining. We also found 17 association rules and screened out four potential analgesic drugs-"Jinyinhua," "Wugong," "Yiyiren," and "Qingfengteng," which were promised to help in the clinical treatment. Besides, combined with System Cluster Analysis, we provided several different herbal combinations for clinical references.

Indexed as

analgesic drugsApriori Algorithmchronic paindata miningrheumatoid arthritis (RA)

Identifiers

PMID35959238
PMCPMC9358686
OpenAlexW4287306500

What Socratic 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 Socratic graph.