Literature DB >> 18201503

The misuse of 'no significant difference' in British orthopaedic literature.

S A Sexton1, N Ferguson, C Pearce, D M Ricketts.   

Abstract

INTRODUCTION: Many studies published in medical journals do not consider the statistical power required to detect a meaningful difference between study groups. As a result, these studies are often underpowered: the sample size may not be large enough to pick up a statistically significant difference (or other effect of interest) of a given size between the study groups. Therefore, the conclusion that there is no statistically significant difference between groups cannot be made unless a study has been shown to have sufficient power. The aim of this study was to establish the prevalence of negative studies with inadequate statistical power in British journals to which orthopaedic surgeons regularly submit.
MATERIALS AND METHODS: We assessed all papers in the last consecutive six issues prior to the start of the study (April 2005) in The Journal of Bone and Joint Surgery (British), Injury, and Annals of the Royal College of Surgeons of England. We sought published evidence that a power analysis had been performed in association with the main hypothesis of the paper.
RESULTS: There were a total of 170 papers in which a statistical comparison of two or more groups was undertaken. Of these 170 papers, 49 (28.8%) stated as their primary conclusion that there was no statistically significant difference between the groups studied. Of these 49 papers, only 3 (6.1%) had performed a power analysis demonstrating adequate sample size.
CONCLUSIONS: These results demonstrate that the majority of negative studies in the British orthopaedic literature that we have looked at have not performed the statistical analysis necessary to reach their stated conclusions. In order to remedy this, we recommend that the journals sampled include the following guidance in their instructions to authors: the statement 'no statistically significant difference was found between study groups' should be accompanied by the results of a power analysis.

Entities:  

Mesh:

Year:  2008        PMID: 18201503      PMCID: PMC2216719          DOI: 10.1308/003588408X242312

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  5 in total

1.  The prevalence of negative studies with inadequate statistical power: an analysis of the plastic surgery literature.

Authors:  Kevin C Chung; Loree K Kalliainen; Sandra V Spilson; Madonna R Walters; Hyungjin Myra Kim
Journal:  Plast Reconstr Surg       Date:  2002-01       Impact factor: 4.730

2.  The quality of reporting of randomized trials in the Journal of Bone and Joint Surgery from 1988 through 2000.

Authors:  Mohit Bhandari; Robin R Richards; Sheila Sprague; Emil H Schemitsch
Journal:  J Bone Joint Surg Am       Date:  2002-03       Impact factor: 5.284

3.  Sample size calculations in surgery: are they done correctly?

Authors:  Melinda A Maggard; Jessica B O'Connell; Jerome H Liu; David A Etzioni; Clifford Y Ko
Journal:  Surgery       Date:  2003-08       Impact factor: 3.982

Review 4.  The need for confidence intervals in the presentation of orthopaedic data.

Authors:  F Dorey; S Nasser; H Amstutz
Journal:  J Bone Joint Surg Am       Date:  1993-12       Impact factor: 5.284

5.  Type-II error rates (beta errors) of randomized trials in orthopaedic trauma.

Authors:  H V Lochner; M Bhandari; P Tornetta
Journal:  J Bone Joint Surg Am       Date:  2001-11       Impact factor: 5.284

  5 in total
  6 in total

1.  The use of confidence intervals in reporting orthopaedic research findings.

Authors:  Patrick Vavken; Klemens M Heinrich; Christian Koppelhuber; Stefan Rois; Ronald Dorotka
Journal:  Clin Orthop Relat Res       Date:  2009-03-31       Impact factor: 4.176

2.  Psychometric evaluation of the Midlife Women's Symptom Index in multiethnic groups.

Authors:  Bokim Lee; Eun-Ok Im; Wonshik Chee
Journal:  West J Nurs Res       Date:  2010-07-06       Impact factor: 1.967

3.  Age affects quantity but not quality of antibody responses after vaccination with an inactivated flavivirus vaccine against tick-borne encephalitis.

Authors:  Karin Stiasny; Judith H Aberle; Michael Keller; Beatrix Grubeck-Loebenstein; Franz X Heinz
Journal:  PLoS One       Date:  2012-03-26       Impact factor: 3.240

4.  How to calculate sample size and why.

Authors:  Jeehyoung Kim; Bong Soo Seo
Journal:  Clin Orthop Surg       Date:  2013-08-20

5.  Statistics in clinical research: Important considerations.

Authors:  Howard Barkan
Journal:  Ann Card Anaesth       Date:  2015 Jan-Mar

6.  Negative animal studies published in Indian Medical Journal: Are they methodologically strong enough to conclude what they are concluding?

Authors:  Jaykaran Charan; Deepak Saxena
Journal:  J Pharm Bioallied Sci       Date:  2014-04
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.