| Literature DB >> 30345192 |
Syed Ijlal Ahmed1, Gohar Javed2, Syeda Beenish Bareeqa3, Ali Shah4, Maha Zubair5, Rabbia Faisal Avedia6, Noor Rahman6, Syeda Sana Samar7, Kashif Aziz8.
Abstract
The first line of treatment for lumbar spinal stenosis (with or without lumbar degenerative spondylolisthesis) involves conservative options such as anti-inflammatory drugs and analgesics. Approximately, 10%-15% of patients require surgery. Surgical treatment aims to decompress the spinal canal and dural sac from degenerative bony and ligamentous overgrowth. Different studies have given conflicting results. The aim of our study is to clear the confusion by comparing two surgical techniques. This meta-analysis was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. A literature search was conducted of the Ovid Embase, Scopus, Pubmed, Ovid Medline, Google Scholar, and Cochrane library databases. A quality and risk of bias assessment was also done. The analysis was done using Revman software (The Nordic Cochrane Centre, The Cochrane Collaboration, 2014, Copenhagen, Denmark). A total of 76 studies were extracted from the literature search and 29 studies with relevant information were shortlisted. Nine studies were included in the meta-analysis after a quality assessment and eligibility. Fusion with decompression surgery was found to be a better technique when compared to decompression alone for spinal stenosis in terms of the Oswestry Disability index and the visual analog pain scale for back and leg pain. On the basis of the meta-analysis of the recent medical literature, the authors concluded that decompression with fusion is a 3.5-times better surgical technique than decompression alone for spinal stenosis.Entities:
Keywords: decompression surgery; fusion surgery; oswestry disability index; spinal stenosis
Year: 2018 PMID: 30345192 PMCID: PMC6188214 DOI: 10.7759/cureus.3135
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Descriptive representation of the meta-analysis through a forest plot
Figure 2Presentation of heterogenicity through a funnel plot