Literature DB >> 22743957

A systematic review of power and sample size reporting in randomized controlled trials within plastic surgery.

Olubimpe Ayeni1, Lisa Dickson, Teegan A Ignacy, Achilleas Thoma.   

Abstract

BACKGROUND: The randomized controlled trial is a reliable study design for assessing the effectiveness of a surgical intervention, provided it is adequately powered. This systematic review examines the appropriateness of reporting of power and sample size in randomized controlled trials within the plastic surgery literature.
METHODS: Original randomized controlled trials published from January of 1990 to December of 2010 in nine high-impact plastic surgery journals were appraised. The data extracted from each study included calculation of power and sample size, number of patients, and effect size. A Jadad score was calculated, providing a quality assessment of the randomized controlled trial.
RESULTS: : Of the 736 original articles, 463 met the inclusion criteria; 88 (19.0 percent) of these 463 reported performing a priori power analysis or sample size calculation. Of these 88 studies, 68 (77.3 percent) had an adequate sample size. In most studies, a standard of 0.05 for the type I error and 0.20 for type II error was used. There has been some improvement in the reporting of power and sample size in the decades from 1990 to 2010.
CONCLUSIONS: Nineteen percent of 463 randomized controlled trials in the plastic surgery literature reported performing an a priori power analysis or sample size calculation. The implication is that when we read the results of a published randomized controlled trial in plastic surgery, in 81 percent of cases we cannot trust the findings. Although the reporting of power and sample size has improved in the last decade, it is still inadequate. Lack of such reporting casts doubt on the validity (truthfulness) of the study's findings. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.

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Year:  2012        PMID: 22743957     DOI: 10.1097/PRS.0b013e318254b1d1

Source DB:  PubMed          Journal:  Plast Reconstr Surg        ISSN: 0032-1052            Impact factor:   4.730


  5 in total

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2.  Levels of Evidence in Cosmetic Surgery: Analysis and Recommendations Using a New CLEAR Classification.

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Journal:  Plast Reconstr Surg Glob Open       Date:  2013-12-06

3.  Modifying "Pico" Question into "Picos" Model for More Robust and Reproducible Presentation of the Methodology Employed in A Scientific Study.

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4.  Genome-wide expression profiling of glioblastoma using a large combined cohort.

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Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

5.  Individual variability in human urinary metabolites identifies age-related, body mass index-related, and sex-related biomarkers.

Authors:  Tianling Wang; Lei Tang; Ruili Lin; Dian He; Yanqing Wu; Yang Zhang; Pingrong Yang; Junquan He
Journal:  Mol Genet Genomic Med       Date:  2021-07-22       Impact factor: 2.183

  5 in total

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