Literature DB >> 12897597

The risk of false-positive results in orthopaedic surgical trials.

Mohit Bhandari1, William Whang, Jonathann C Kuo, P J Devereaux, Sheila Sprague, Paul Tornetta.   

Abstract

The risk of concluding that the results of a particular study are true, when, in fact, they really are attributable to chance (or random sampling error) is underappreciated by investigators. This erroneous false-positive conclusion is designated as a Type I or alpha error. The extent to which randomized trials in surgery risk Type I errors is unclear. The current authors hand-searched four orthopaedic journals, six general surgery journals, and five medical journals to identify recently published randomized trials (within the past 2 years). Information on outcomes and statistical adjustment for multiple outcomes was recorded for each study. The risk of a Type I error was calculated for each study that did not explicitly state a primary outcome measure for the main statistical comparison. One hundred fifty-nine studies met the inclusion criteria for the study: 60 studies from orthopaedic journals, 49 studies from nonorthopaedic surgical journals, and 50 studies from medical journals. Of the trials that did not state a primary outcome measure, the risk of Type I errors (false-positive results) in orthopaedic and nonorthopaedic surgery journals (mean 37.3% +/- 13.3% and 37.6% +/- 10.5%, respectively) were significantly greater than medical journals (10.1% +/- 1.9%). In the current review of randomized trials in surgery and medicine, the following is reported: (1) reporting of primary outcomes in trials was inadequate; (2) one in three trials in surgery and one in 10 trials in medicine risked false-positive results; and (3) few trials in surgery and medicine considered adjustment for multiple comparisons.

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Year:  2003        PMID: 12897597     DOI: 10.1097/01.blo.0000079320.41006.c9

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  4 in total

1.  Analysis of variance: is there a difference in means and what does it mean?

Authors:  Lillian S Kao; Charles E Green
Journal:  J Surg Res       Date:  2007-10-22       Impact factor: 2.192

2.  Outcome instruments: rationale for their use.

Authors:  Rudolf W Poolman; Marc F Swiontkowski; Jeremy C T Fairbank; Emil H Schemitsch; Sheila Sprague; Henrica C W de Vet
Journal:  J Bone Joint Surg Am       Date:  2009-05       Impact factor: 5.284

3.  Statistical fallacies in orthopedic research.

Authors:  Abhaya Indrayan
Journal:  Indian J Orthop       Date:  2007-01       Impact factor: 1.251

4.  PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG).

Authors:  Shefali S Verma; Alex T Frase; Anurag Verma; Sarah A Pendergrass; Shaun Mahony; David W Haas; Marylyn D Ritchie
Journal:  Pac Symp Biocomput       Date:  2016
  4 in total

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