Levels of evidence in the neurosurgical literature: more tribulations than trials

Neurosurgery. 2012 Dec;71(6):1131-7; discussion 1137-8. doi: 10.1227/NEU.0b013e318271bc99.

Abstract

Background: The importance of evidence-based medicine has been well documented and supported across various surgical subspecialties.

Objective: To quantify the levels of evidence across publications in the neurosurgical literature, to assess the change in evidence over time, and to indicate predictive factors of higher-level evidence.

Methods: We reviewed the levels of evidence across published clinical studies in 3 neurosurgical journals from 2009 to 2010. Randomized trials were evaluated by use of the Detsky quality of reporting scale. Levels-of-evidence data for the same journals in 1999 were obtained from the literature, and regression analysis was performed to identify predictive factors for higher-level evidence.

Results: Of 660 eligible articles, 14 (2.1%) were Level I, 54 (8.2%) were level II, 73 (11.1%) were Level III, 287 (43.5%) were level IV, and 232 (35.2%) were level V. The number of level I studies decreased significantly between 1999 and 2010 (3.4% vs. 2.1%, respectively; P = .01). Seven randomized clinical trials were identified, and 1 trial had significant methodological limitations (mean Detsky index = 16.3; SD = 1.8). Publications with larger sample size were significantly associated with higher levels of evidence (levels I and II; odds ratio, 1.7; 95% confidence interval, 1.45-2.05; P = .001). The ratio of higher levels of evidence to lower levels was 0.11.

Conclusion: Higher levels of evidence (levels I and II) represent only 1 in 10 neurosurgical clinical papers in the top neurosurgical journals. Increased awareness of the need for better evidence in the field through education and adoption of the levels of evidence may improve the conduct and publication of prospective studies.

Publication types

  • Review

MeSH terms

  • Biomedical Research*
  • Databases, Factual / statistics & numerical data
  • Evidence-Based Medicine*
  • Humans
  • Information Storage and Retrieval
  • Neurosurgical Procedures*
  • Publishing / statistics & numerical data
  • Randomized Controlled Trials as Topic