Assessing the prognostic impact of body composition phenotypes on surgical outcomes and survival in patients with spinal metastasis: a deep learning approach to preoperative CT analysis.

Objective: The prognostic significance of body composition phenotypes for survival in patients undergoing surgical intervention for spinal metastases has not yet been elucidated. This study aimed to elucidate the impact of body composition phenotypes on surgical outcomes and 5-year survival.

Methods: The records of patients treated surgically for spinal metastases between 2010 and 2020 were retrospectively evaluated.

Semaglutide exposure and its association with adverse outcomes in diabetic patients undergoing transforaminal lumbar interbody fusion for lumbar degenerative disc disease.

Objective: Semaglutide, a novel glucagon-like peptide-1 receptor agonist, has transformed the therapeutic landscape for type 2 diabetes mellitus. However, its effect on osteoclast activity and its potential to induce weight-related muscle loss raises concerns about its impact on spine surgery outcomes. As such, evaluating semaglutide's influence on transforaminal lumbar interbody fusion (TLIF) is imperative, given the procedure's reliance on successful bony fusion to prevent postoperative instability and further interventions.

Nondestructive acoustic modal analysis for assessing bone screw stability: An ex vivo animal study.

Conventional insertion torque and pull-out tests are destructive and unsuitable for clinical bone screw fixation. This study evaluates screw stability using acoustic modal analysis (AMA) and Periotest compared to traditional methods in an ex vivo animal model. Titanium self-tapping screws (STS) and nonself-tapping screws (N-STS) were implanted in the proximal tibia of 12 rabbits.

An Appraisal of the Quality of Development and Reporting of Predictive Models in Neurosurgery: A Systematic Review.

Background And Objectives: Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines.