Evidence map›Paper›PMID 36105247›Full record

ArticleComputational and mathematical methods in medicine2022

Analysis of the Application Effect of Exercise Rehabilitation Therapy Based on Data Mining in the Prevention and Treatment of Knee Osteoarthritis.

Wei Liu, Congan Wang, Gongchang Yu, Bin Shi, Jingwen Wang

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Wei LiuDepartment of Public Health, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan, Shandong 250062, China.ORCID https://orcid.org/0000-0002-5478-7457
Congan WangDepartment of Public Health, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan, Shandong 250062, China.
Gongchang YuDepartment of Public Health, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan, Shandong 250062, China.ORCID https://orcid.org/0000-0002-2029-0960
Bin ShiDepartment of Public Health, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan, Shandong 250062, China.ORCID https://orcid.org/0000-0001-9305-5438
Jingwen WangSchool of Graduate Education, Shandong Institute of P.E. and Sports, Jinan, Shandong 250100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the application effect of exercise rehabilitation therapy based on data mining in the prevention and treatment of knee osteoarthritis. Methods: Based on clinical data mining technology, that is, using complex network technology and association rules, the medical records of 1612 patients with KOA in the Department of Rheumatology and Immunology of our hospital were retrospectively analyzed, and they were divided into groups according to whether they used exercise rehabilitation therapy ( Results: The data mining results showed that the curative effect of the exercise rehabilitation therapy group was significantly higher than that of the control treatment group ( Conclusion: Exercise rehabilitation therapy for KOA patients can effectively improve inflammatory and immune factors in patients, enhance knee joint function and prognosis quality of life, and reduce readmission rate, which is worthy of clinical application.

Indexed as

Osteoarthritis, KneeData MiningExercise TherapyHumansQuality of LifeRetrospective Studies

Identifiers

PMID36105247
PMCPMC9467779

What Socratic holds

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LicenceCC BY
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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 Socratic graph.