Fracture risk assessment and clinical decision making for patients with metastatic bone disease

TA Damron, KA Mann - Journal of Orthopaedic Research®, 2020 - Wiley Online Library
Metastatic breast, prostate, lung, and other cancers often affect bone, causing pain,
increasing fracture risk, and decreasing function. Management of metastatic bone disease …

[HTML][HTML] An updated review on the treatment strategy for spinal metastasis from the spine surgeon's perspective

SH Hong, BS Chang, H Kim, DH Kang… - Asian Spine …, 2022 - ncbi.nlm.nih.gov
Spinal metastasis is a common issue causing significant pain and disability in cancer
patients. A multidisciplinary approach consisting of chemotherapy, radiotherapy, and …

Predicting 90-day and 1-year mortality in spinal metastatic disease: development and internal validation

AV Karhade, QCBS Thio, PT Ogink, CM Bono… - …, 2019 - journals.lww.com
BACKGROUND Increasing prevalence of metastatic disease has been accompanied by
increasing rates of surgical intervention. Current tools have poor to fair predictive …

External validation of the SORG 90-day and 1-year machine learning algorithms for survival in spinal metastatic disease

AV Karhade, AK Ahmed, Z Pennington, A Chara… - The Spine Journal, 2020 - Elsevier
BACKGROUND CONTEXT Preoperative survival estimation in spinal metastatic disease
helps determine the appropriateness of invasive management. The SORG ML 90-day and 1 …

Sarcopenia as a prognostic factor for 90-day and overall mortality in patients undergoing spine surgery for metastatic tumors: a multicenter retrospective cohort study

HM Zakaria, BM Wilkinson, Z Pennington… - …, 2020 - journals.lww.com
BACKGROUND Novel methods in predicting survival in patients with spinal metastases may
help guide clinical decision-making and stratify treatments regarding surgery vs palliative …

International external validation of the SORG machine learning algorithms for predicting 90-day and one-year survival of patients with spine metastases using a …

JJ Yang, CW Chen, MS Fourman, MER Bongers… - The Spine Journal, 2021 - Elsevier
Abstract Background Context Accurately predicting the survival of patients with spinal
metastases is important for guiding surgical intervention. The SORG machine-learning (ML) …

[HTML][HTML] Comparison of frailty metrics and the Charlson Comorbidity Index for predicting adverse outcomes in patients undergoing surgery for spine metastases

AM Hersh, Z Pennington, B Hung, J Patel… - … of Neurosurgery: Spine, 2021 - thejns.org
OBJECTIVE Frailty—the state defined by decreased physiological reserve and increased
vulnerability to physiological stress—is exceedingly common in oncology patients. Given the …

Prospective validation of a clinical prediction score for survival in patients with spinal metastases: the New England Spinal Metastasis Score

AJ Schoenfeld, ML Ferrone, JH Schwab, JA Blucher… - The Spine Journal, 2021 - Elsevier
Abstract Background Context The New England Spinal Metastasis Score (NESMS) was
proposed as an intuitive and accessible prognostic tool for predicting survival in patients …

Updated external validation of the SORG machine learning algorithms for prediction of ninety-day and one-year mortality after surgery for spinal metastasis

AA Shah, AV Karhade, HY Park, WL Sheppard… - The Spine Journal, 2021 - Elsevier
ABSTRACT BACKGROUND CONTEXT Surgical decompression and stabilization in the
setting of spinal metastasis is performed to relieve pain and preserve functional status …

10-year trends in the surgical management of patients with spinal metastases: a scoping review

JM Orenday-Barraza, MJ Cavagnaro, MJ Avila… - World neurosurgery, 2022 - Elsevier
Background Spinal metastases are present in approximately 20% of patients with cancer,
giving a risk for neurologic dysfunction and instability. In already frail patients, surgeons …