ArticleMedicine2020
Effect of Yijinjing exercise on cervical spondylosis: A protocol for systematic review.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Evidence map of traditional Chinese exercises.Frontiers in public health · 2024Pooled it
- Neck muscle training improving the setup of reproducibility in patient with head and neck cancer receiving radiotherapy - a prospective randomized controlled study.Radiation oncology (London, England) · 2025Trial
- Effectiveness of Tuina Therapy Combined With Yijinjing Exercise in the Treatment of Nonspecific Chronic Neck Pain: A Randomized Clinical Trial.JAMA network open · 2022Trial
- Therapeutic effect of modified cervical Jiaji acupuncture on mixed type cervical spondylosis.American journal of translational research · 2024Article
- Traditional Chinese Rehabilitation Exercise (TCRE) for Myofascial Pain: Current Evidence and Further Challenges.Journal of pain research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical spondylosis (CS) is a common disease due to the modern lifestyle. Yijinjin, a kind of traditional Chinese exercise, is frequently used for the prevention of CS by Traditional Chinese Medicine doctors. However, there is no relevant systematic review show its effectiveness and safety. The study aims to evaluate the effectiveness and safety of Yijinjing for patients with CS.
methodsThe following electronic databases will be searched from the respective dates of database inception to June 1st, 2020: The Cochrane Library, Web of Science, Springer, EMBASE, MEDLINE, the World Health Organization International Clinical Trials Registry Platform, the Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Wanfang database, the Chinese Scientific Journal Database, and other sources. All published randomized controlled trials (RCTs) and blinded researches that are relevant to the subject of interest only will be contained. Two independent researchers will operate article retrieval, duplication removing, screening, quality evaluation, and data analyses by Review Manager (V.5.3.5). Meta-analyses, subgroup analysis and/or descriptive analysis will be performed based on the included data conditions.
resultsHigh-quality synthesis and/or descriptive analysis of current evidence will be provided from the neck disability index, neck pain questionnaire questionnaires, patient satisfaction scale and adverse reactions.
conclusionThis study will provide the evidence of whether Yijinjing is an effective and safe intervention for people with CS. PROSPERO REGISTRATION NUMBER: CRD42020164706.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.