Literature DB >> 18538992

Repeated measures in rheumatoid arthritis reduced the required sample size in a two-armed clinical trial.

Petter Mowinckel1, Kåre B Hagen, Turid Heiberg, Tore K Kvien.   

Abstract

OBJECTIVES: To investigate whether repeated measures in patients with rheumatoid arthritis will reduce the between subject variation and if so, to determine the optimal number of measures to effectively reduce the number of participants required in controlled clinical trials. STUDY DESIGN AND
SETTING: A prospective observational study. Thirty-eight rheumatoid arthritis patients with a stable disease reported level of joint pain, fatigue and patient global assessment of disease activity on VAS scales as well as the Rheumatoid Arthritis Disease Activity Index (RADAI) daily during a total of 42 days.
RESULTS: In all measures, the variation within each individual was substantial over a 42-day period. By increasing the number of measurements from one to five, the standard deviation (SD) decreased from 5.5% (RADAI score) to 11% (Pain VAS) resulting in a reduction in the number of patients needed in a clinical trial from 11% to 22%, respectively. When we used from 6 to 42 individual measurements, the decrease continued but the reduction was of a smaller magnitude.
CONCLUSION: The use of up to five repeated measurements per patient will decrease the number of patients required in a two armed clinical trial by as much as 22%.

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Year:  2008        PMID: 18538992     DOI: 10.1016/j.jclinepi.2007.12.004

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  Two to five repeated measurements per patient reduced the required sample size considerably in a randomized clinical trial for patients with inflammatory rheumatic diseases.

Authors:  Geir Smedslund; Heidi Andersen Zangi; Petter Mowinckel; Kåre Birger Hagen
Journal:  BMC Res Notes       Date:  2013-02-01

2.  Collection of patient-reported outcomes;--text messages on mobile phones provide valid scores and high response rates.

Authors:  Anne Christie; Hanne Dagfinrud; Øystein Dale; Trenton Schulz; Kåre Birger Hagen
Journal:  BMC Med Res Methodol       Date:  2014-04-16       Impact factor: 4.615

  2 in total

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