Literature DB >> 19769490

Clinical prognostic indicators of surgical outcome in cervical spondylotic myelopathy.

Langston T Holly1, Paul G Matz, Paul A Anderson, Michael W Groff, Robert F Heary, Michael G Kaiser, Praveen V Mummaneni, Timothy C Ryken, Tanvir F Choudhri, Edward J Vresilovic, Daniel K Resnick.   

Abstract

OBJECT: The objective of this systematic review was to use evidence-based medicine to assess whether clinical factors predict surgical outcomes in patients undergoing cervical surgery.
METHODS: The National Library of Medicine and Cochrane Database were queried using MeSH headings and keywords relevant to clinical preoperative factors. Abstracts were reviewed, and studies that met the inclusion criteria were selected. The guidelines group assembled an evidentiary table summarizing the quality of evidence (Classes I-III). Disagreements regarding the level of evidence were resolved through an expert consensus conference. The group formulated recommendations that contained the degree of strength based on the Scottish Intercollegiate Guidelines network. Validation was done through peer review by the Joint Guidelines Committee of the American Association of Neurological Surgeons/Congress of Neurological Surgeons.
RESULTS: Preoperative sensory-evoked potentials may aid in providing prognostic information in selected patients in whom clinical factors do not provide clear guidance (Class II). Age, duration of symptoms, and preoperative neurological function may commonly affect outcome (Class III).
CONCLUSIONS: Age, duration of symptoms, and preoperative neurological function should be discussed with patients when surgical intervention for cervical spondylotic myelopathy is considered. Preoperative sensory-evoked potentials may be considered for patients in whom clinical factors do not provide clear guidance if such information would potentially change therapeutic decisions.

Entities:  

Mesh:

Year:  2009        PMID: 19769490     DOI: 10.3171/2009.1.SPINE08718

Source DB:  PubMed          Journal:  J Neurosurg Spine        ISSN: 1547-5646


  43 in total

Review 1.  Cervical laminectomy and instrumented lateral mass fusion: techniques, pearls and pitfalls.

Authors:  Michael Mayer; Oliver Meier; Alexander Auffarth; Heiko Koller
Journal:  Eur Spine J       Date:  2013-05-29       Impact factor: 3.134

2.  Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; John W Grinstead; Langston T Holly
Journal:  Spine J       Date:  2014-02-20       Impact factor: 4.166

3.  Predictors of morbidity and mortality among patients with cervical spondylotic myelopathy treated surgically.

Authors:  I David Kaye; Bryan J Marascalchi; Angel E Macagno; Virginie A Lafage; John A Bendo; Peter G Passias
Journal:  Eur Spine J       Date:  2015-05-23       Impact factor: 3.134

Review 4.  Predictors of outcome in patients with degenerative cervical spondylotic myelopathy undergoing surgical treatment: results of a systematic review.

Authors:  Lindsay A Tetreault; Alina Karpova; Michael G Fehlings
Journal:  Eur Spine J       Date:  2013-02-06       Impact factor: 3.134

5.  Long-term surgical outcomes of cervical myelopathy with athetoid cerebral palsy.

Authors:  Keung Nyun Kim; Poong Gee Ahn; Mi Jung Ryu; Dong Ah Shin; Seong Yi; Do Heum Yoon; Yoon Ha
Journal:  Eur Spine J       Date:  2013-12-15       Impact factor: 3.134

Review 6.  A summary of assessment tools for patients suffering from cervical spondylotic myelopathy: a systematic review on validity, reliability and responsiveness.

Authors:  Anoushka Singh; Lindsay Tetreault; Adrian Casey; Rodney Laing; Patrick Statham; Michael G Fehlings
Journal:  Eur Spine J       Date:  2013-09-05       Impact factor: 3.134

7.  Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity.

Authors:  Y Liu; C Kong; L Cui; X Yuan; P Zhao; Y Zhang; Y Guan; X Chen
Journal:  Spinal Cord       Date:  2017-09-05       Impact factor: 2.772

8.  Metabolic Imaging Using Proton Magnetic Spectroscopy as a Predictor of Outcome After Surgery for Cervical Spondylotic Myelopathy.

Authors:  Langston T Holly; Benjamin M Ellingson; Noriko Salamon
Journal:  Clin Spine Surg       Date:  2017-06       Impact factor: 1.876

9.  New diffusion metrics for spondylotic myelopathy at an early clinical stage.

Authors:  Masaaki Hori; Issei Fukunaga; Yoshitaka Masutani; Atsushi Nakanishi; Keigo Shimoji; Koji Kamagata; Koichi Asahi; Nozomi Hamasaki; Yuriko Suzuki; Shigeki Aoki
Journal:  Eur Radiol       Date:  2012-03-13       Impact factor: 5.315

10.  Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.

Authors:  Haydn Hoffman; Sunghoon I Lee; Jordan H Garst; Derek S Lu; Charles H Li; Daniel T Nagasawa; Nima Ghalehsari; Nima Jahanforouz; Mehrdad Razaghy; Marie Espinal; Amir Ghavamrezaii; Brian H Paak; Irene Wu; Majid Sarrafzadeh; Daniel C Lu
Journal:  J Clin Neurosci       Date:  2015-06-23       Impact factor: 1.961

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