ArticleContrast media & molecular imaging2022
Study on the Prescription of Acupuncture in the Treatment of Cervical Spondylotic Radiculopathy Based on Computer Vision Image Analysis.
Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.
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
2 citing papers in PubMed, 4 citations in OpenAlex.
- Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision.Sensors (Basel, Switzerland) · 2023Article
- Retracted: Study on the Prescription of Acupuncture in the Treatment of Cervical Spondylotic Radiculopathy Based on Computer Vision Image Analysis.Contrast media & molecular imaging · 2023Article
Corrections and comments
- Retraction · 2023-11-29Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical spondylosis (CS) is a common clinical orthopedic disease. Among cervical spondyloses, cervical spondylotic radiculopathy (CSR) is the most common. Its clinical manifestations are localized neck pain and radial numbness of the shoulder, upper arm, forearm, and even fingers. As far as the status quo is concerned, with the change of lifestyle and working style, the popularity of computer and other entertainment devices, people's neck flexion time has increased significantly compared with the past, the incidence rate of CSR has also increased year by year, and the group of onset has become younger and younger. According to the symptoms, CSR in Chinese medicine belongs to the category of "arthralgia syndrome" and "bone arthralgia." Western medicine has many side effects in the treatment of CSR, while surgical treatment is painful and expensive. Most patients are not willing to accept it. Traditional Chinese medicine acupuncture can relieve the pain, numbness, and other discomforts of CSR, and the acupuncture treatment has less trauma and is a simple operation. At present, there are few acupoint prescriptions for acupuncture in the treatment of CSR. Therefore, the analysis of acupuncture point selection based on computer vision image has important practical significance for the scientific and progressive exploration of CSR acupuncture treatment. In this paper, the etiology, pathology, and clinical manifestations of radical treatment of CS are deeply studied by using literature data and mathematical statistics. The prescription research experiment of acupuncture in the treatment of CSR based on computer was established, and the treatment method was studied by observing VAS, NPQ, and other indexes. The total effective rate was 95.13% in the experimental group and 85.72% in the control group. It is hoped that the research direction of this paper can provide reference for the diversified development of acupuncture and moxibustion and for the treatment ideas and methods of cervical spondylotic radiculopathy.
Indexed as
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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.