title: [Clinical applicability of evidence-based orthopedics--a cross-sectional study of the quality of orthopedic evidence].
abstract: BACKGROUND
  The demand to routinely apply evidence-based methods in orthopedic surgery increases steadily. In order to do so, however, the validity and reliability of the "evidence" has to be scrutinized.
  
  
  OBJECTIVE
  The object of this study was to assess the quality of the most recent orthopedic evidence and to determine variables that have an influence on quality.
  
  
  METHODS
  All 2006 controlled trials from orthopedic journals with high impact factors were analysed in a cross-sectional study. A score based on the CONSORT statement was used to assess study quality. Selected variables were tested for their influence on the quality of the study.
  
  
  RESULTS
  Two independent blinded observers reviewed 126 studies. The overall quality was moderate to high. The most neglected parameters were power analysis, intention-to-treat, and concealment. The participation of a methodologically trained investigator increases study quality significantly. There was no difference in study quality irrespective of whether or not there was statistically significant result.
  
  
  CONCLUSIONS
  Using our quality score we were able show fairly good results for recent orthopedic studies. The most frequently neglected issues in orthopedic research are blinding, power analysis, and intention-to-treat. This may distort the results of clinical investigations considerably and, especially, lack of concealment causes false-positive findings. Our data show furthermore that participation of a methodologist significantly increases quality of the study and consequently strengthens the reliability of results.
authors.affiliation: Universitätsklinik für Orthopädie, Medizinische Universität Wien, Osterreich. patrick.vavken@meduniwien.ac.at
authors.forename: P
authors.initials: P
authors.lastname: Vavken
authors.forename: G
authors.initials: G
authors.lastname: Culen
authors.forename: R
authors.initials: R
authors.lastname: Dorotka
mesh_terms: D015982:Bias; D018849:Controlled Clinical Trials as Topic / Q000592:standards* / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D019317:Evidence-Based Medicine / Q000592:standards*; D005858:Germany; D006801:Humans; D009985:Orthopedics / Q000592:standards*; D011785:Quality Assurance, Health Care / Q000592:standards*; D012107:Research Design / Q000592:standards