DOI 10.1016/j.wneu.2025.123953
Prognostic Value of Lumbar Muscle Morphometrics for Survival of Patients with Spinal Metastasis: A Systematic Review and Meta-Analysis.
Аннотация
BACKGROUND
Spinal metastasis, a prevalent complication of advanced malignancy, poses significant challenges in patient management due to its potential to compromise spinal stability and quality of life. Accurate prognostication is crucial for tailored therapeutic strategies. This meta-analysis aimed to evaluate the prognostic significance of sarcopenia and lumbar muscle morphometrics in patients with spinal metastasis.
METHODS
Electronic databases, including PubMed, Embase, and CENTRAL, were searched up to August 2024. Studies were included if they reported quantitative data on sarcopenia or lumbar muscle morphometric parameters and survival outcomes in patients with spinal metastasis. A quantitative meta-analysis was performed with hazard ratio as the effect size. Heterogeneity was assessed using the Cochran Q test and I2 statistic. Publication bias was evaluated through funnel plot symmetry and Egger's and Begg's regression tests.
RESULTS
Our search identified 17 retrospective cohort studies comprising 3023 patients. Various parameters were employed to assess sarcopenia, encompassing cross-sectional area (CSA) of the psoas muscles (left, right, total, or averaged), the ratio of psoas CSA to vertebral CSA, the ratio of psoas CSA to squared body height, and densities of the psoas or paravertebral muscles. Meta-analysis revealed that total/mean psoas area, when grouped by tertiles or medians, held independent prognostic value for survival outcomes. The ratio of psoas area to vertebral area also demonstrated significant prognostic value when grouped by tertiles or medians.
CONCLUSIONS
Lumbar muscle morphometrics are independent prognostic factors for survival in patients with spinal metastasis. Integrating of these metrics into clinical decision-making could enhance personalized therapeutic strategies and prognostic accuracy.
Предметные рубрики MeSH
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Обработка статьи · этапы, ошибки и управление
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История · было → стало
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