Chrome Extension
WeChat Mini Program
Use on ChatGLM

Cervical Degenerative Disease Treatment: A Systematic Review

Shelley S. Selph, Andrea C. Skelly, Rebecca M. Jungbauer,Erika Brodt, Ian Blazina, Travis C. Philipp, Kimberly M. Mauer, Joseph Dettori,Chandler Atchison, Dakota Riopelle,Shay Stabler-Morris,Rochelle Fu, Yun Yu,Roger Chou

openalex(2023)

Cited 0|Views0
Abstract
Objectives. Cervical degenerative disease (CDD) is common, becomes more prevalent with age, and is managed with surgical and nonoperative treatments to alleviate pain, improve function, and prevent progression or recurrence. This systematic review summarizes the evidence on treatments for CDD. Data sources. We searched Ovid MEDLINE®, Embase®, and Cochrane CENTRAL from 1980 to February 15, 2023; reference lists; and clinical trial registries. Review methods. Predefined criteria were used to identify studies; prespecified methods were used to assess study quality and strength of evidence for key outcomes. Effects were analyzed qualitatively and quantitatively where appropriate. Results. We included 57 randomized controlled trials, 56 nonrandomized studies, and 1 systematic review. Studies enrolled patients with radiculopathy and/or myelopathy with disease at one or more levels. A variety of surgical approaches were used; there were few comparative studies of nonoperative treatments. Most studies were rated moderate risk of bias, while the majority of evidence was rated low or insufficient strength to draw conclusions on comparative benefits and harms. Cervical arthroplasty versus anterior cervical discectomy and fusion (ACDF): In single-level disease, there were no important differences between cervical arthroplasty and ACDF in pain or function. Cervical arthroplasty was associated with a lower likelihood of reoperation and slightly lower likelihood of any serious adverse event (SAE) in the short term, with no difference between cervical arthroplasty and ACDF in SAEs longer term. In patients with 2-level disease, pain, function, and likelihood of reoperation at the index level were similar, but the likelihood of an adverse event was slightly lower at 24 months with cervical arthroplasty, with no difference at 120 months. Anterior versus posterior approach: There was no difference between these approaches in pain, function, quality of life, and reoperation in patients with fewer than three operated levels. Limited evidence suggests that a posterior approach is associated with a greater likelihood of experiencing any SAE in patients with procedures at three or more levels. Standalone cage versus plate and cage in ACDF: Fusion rates were similar between standalone cage versus plate and cage; there were no differences between treatments in postoperative arm pain, function, quality of life, or adjacent-level ossification. Laminoplasty versus laminectomy and fusion. There was little difference between surgical techniques in postoperative function, but the risk of experiencing a complication was lower with laminoplasty, with no difference in reoperation rates. Conclusions. There were few differences in benefits between surgical approaches and techniques for the treatment of CDD. However, there were some differences in the frequency of adverse events for some comparisons.
More
Translated text
Key words
Degenerative Disc Disease
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest