Key points are not available for this paper at this time.
Background: Despite the growing burden of degenerative cervical myelopathy (DCM), consensus on the optimal timing of surgical intervention remains lacking, especially for patients with mild symptoms or asymptomatic cord compression or in the context of recent trauma. Different scores, such as the mJOA, Nurick scale and NDI are commonly used to classify disease severity, but guidelines for managing these patients do not provide a clear framework for intervention timing. Materials and methods: We conducted a narrative review of the literature on the optimal timing of surgical intervention for DCM, using PubMed to identify relevant studies. The search was focused on surgical and non-operative management, clinical and radiological assessments, biomarkers and emerging technologies. The selected papers were reviewed for relevance and quality, with guidance from a senior author. Results: The initial search identified 6,705 articles, which were narrowed down to 136 relevant studies after applying filters for study type and clinical focus. A final selection of 87 papers was categorized by topics and the findings were synthesized to highlight trends, challenges and knowledge gaps in surgical timing for DCM. Focus of the study: This review article examines strategies for determining the optimal timing for surgery in DCM. It explores how radiological signs, clinical indicators and other markers may help identify patients at risk of rapid neurological deterioration, particularly in the 'grey-zone' population (mild symptoms or asymptomatic disease), enabling clinicians to assess correctly different clinical scenarios and to indicate timely surgical intervention.
Building similarity graph...
Analyzing shared references across papers
Loading...
Maria Rossella Fasinella
Université Claude Bernard Lyon 1
Alberto Benato
Université Claude Bernard Lyon 1
Donato Creatura
Humanitas University
EFORT Open Reviews
Université Claude Bernard Lyon 1
Hospices Civils de Lyon
Arts et Métiers
Building similarity graph...
Analyzing shared references across papers
Loading...
Fasinella et al. (Sun,) studied this question.
synapsesocial.com/papers/6a004afd581c6e761e77b210 — DOI: https://doi.org/10.1530/eor-2025-0070