Literature DB >> 31297384

Prognostic models for spinal metastatic disease: evolution of methodologies, limitations, and future opportunities.

Aditya V Karhade1, John H Shin2, Joseph H Schwab1.   

Abstract

Advances in cancer biology and therapy have increased survival of metastatic disease patients and, in turn, the rates of metastatic epidural spinal cord compression (MESCC). Surgery can improve patient quality of life, but accurate estimation of postoperative survival is critical for appropriate patient selection, multidisciplinary management, and shared decision making. Survival estimation on the basis of clinician judgement alone has been shown to be inaccurate and unreliable. Numerous prognostic scoring systems have been developed to address this need but the inputs to these models, the modeling methodologies, and the model outputs have evolved significantly over time. Here we discuss the available scoring systems, existing limitations, and future opportunities.

Entities:  

Keywords:  1-year; Ninety-day; prediction; prognosis; scoring system; spine metastasis; spine tumor; survival

Year:  2019        PMID: 31297384      PMCID: PMC6595198          DOI: 10.21037/atm.2019.04.87

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  2 in total

1.  Clinician Experiences in Treatment Decision-Making for Patients with Spinal Metastases: A Qualitative Study.

Authors:  Lauren B Barton; Kaetlyn R Arant; Justin A Blucher; Danielle L Sarno; Kristin J Redmond; Tracy A Balboni; Matthew Colman; C Rory Goodwin; Ilya Laufer; Rick Placide; John H Shin; Daniel M Sciubba; Elena Losina; Jeffrey N Katz; Andrew J Schoenfeld
Journal:  J Bone Joint Surg Am       Date:  2021-01-06       Impact factor: 6.558

2.  Predictive Analytics in Spine Oncology Research: First Steps, Limitations, and Future Directions.

Authors:  Elie Massaad; Nida Fatima; Muhamed Hadzipasic; Christopher Alvarez-Breckenridge; Ganesh M Shankar; John H Shin
Journal:  Neurospine       Date:  2019-12-31
  2 in total

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