Introduction: Spinopelvic parameter may result in the development of degenerative spondylolisthesis. However, previous studies show conflicting results; some found a significant relationship of some of these parameters with degenerative spondylolisthesis, while others did not. Previously, there was no meta-analysis regarding the association between spinopelvic alignment and degenerative spondylolisthesis. This meta-analysis aims to determine the association between spinopelvic alignment and degenerative spondylolisthesis.
Methods: Systematic reviews and meta-analyses are based on the selected item reporting method for systematic review and meta-analysis (PRISMA). A literature search was performed using PubMed, EMBASE, ScienceDirect, Cochrane, and Google Scholar. Methodological quality is based on the cross-sectional checklist of the Agency for Healthcare Research and Quality (AHRQ) quality check methodology and the Newcastle-Ottawa scale (NOS) for cohort studies. Statistical analysis was performed using Rev-Man 5.3. Subgroup analyses were performed based on ethnicity and study design to ascertain racial relations and heterogeneity.
Results: A total of 3236 articles were obtained. Of these, we found that pelvic incidence (mean difference [MD] = 11.94 [1.81-22.08], P = 0.02), pelvic tilt (MD = 4.47 [0.81-8.14]), P = 0.02), and age (MD = 11.94 [1.81-22.08], P = 0.02) were associated with the development of degenerative spondylolisthesis.
Conclusion: This meta-analysis proves that pelvic incidence, pelvic tilt, and age are associated with degenerative spondylolisthesis.
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http://dx.doi.org/10.1007/s00590-023-03754-0 | DOI Listing |
Eur Spine J
January 2025
Department of Orthopaedic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Purpose: This study aimed to compare the incidence of radiological adjacent segment disease (R-ASD) at L3/4 between patients with L4/5 degenerative spondylolisthesis (DS) who underwent L4/5 posterior lumbar interbody fusion (PLIF) and those who underwent microscopic bilateral decompression via a unilateral approach (MBDU) at L4/5. Our ultimate goal was to distinguish the course of natural lumbar degeneration from fusion-related degeneration while eliminating L4/5 decompression as a confounder.
Methods: Ninety patients with L4/5 DS who underwent L4/5 PLIF (n = 53) or MBDU (n = 37) and were followed for at least 5 years were retrospectively analyzed.
Cureus
December 2024
Department of Orthopedics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND.
Introduction Degenerative spondylolisthesis (DS) is a degenerative condition characterized by subluxation of one vertebral body anterior to the adjacent inferior vertebral body with an intact pars. Conservative treatment approaches, such as steroid injections and physical therapy, may work well at first, but in resistant situations, surgery is frequently necessary. Posterolateral lumbar fusion (PLF) has been widely used, but transforaminal lumbar interbody fusion (TLIF) offers theoretical advantages such as improved alignment and enhanced fusion rates.
View Article and Find Full Text PDFFront Surg
January 2025
Department of Orthopaedics, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou, Hebei, China.
Objective: To investigate the risk factors of low back pain after oblique lumbar interbody fusion (OLIF) in patients with low grade degenerative lumbar spondylolisthesis (DLS).
Methods: This retrospective study included 116 patients with single-level low-grade lumbar spondylolisthesis with low back pain who underwent OLIF surgery in our hospital from December 2017 to October 2020. Demographic, clinical, surgical, and radiological characteristics of this population were analyzed to determine the relationship between these characteristics and the degree of low back pain relief after OLIF.
Front Surg
January 2025
Department of Traditional Chinese Medicine, Guilin People's Hospital, Guilin, Guangxi, China.
Introduction: To develop an intelligent system based on artificial intelligence (AI) deep learning algorithms using deep learning tools, aiming to assist in the diagnosis of lumbar degenerative diseases by identifying lumbar spine magnetic resonance images (MRI) and improve the clinical efficiency of physicians.
Methods: The PP-YOLOv2 algorithm, a deep learning technique, was used to design a deep learning program capable of automatically identifying the spinal diseases (lumbar disc herniation or lumbar spondylolisthesis) based on the lumbar spine MR images. A retrospective analysis was conducted on lumbar spine MR images of patients who visited our hospital from January 2017 to January 2022.
Medicine (Baltimore)
January 2025
Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, PR China.
Rationale: Alkaptonuria (AKU) is a rare, inherited metabolic disease caused by deficient activity of homogentisic acid oxidase, leading to the accumulation of homogentisic acid and its oxidized product, benzoquinone acetic acid. These compounds cause black discoloration of cartilage, degeneration, inflammation, and calcification of intervertebral disks and large joints, resulting in pain and impaired quality of life. Despite its debilitating effects, there are no curative treatments for AKU, and management remains supportive.
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