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학술논문

Unaccounted clustering assumptions still compromise inferences in cluster randomized trials in orthodontic research

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영문명
발행기관
대한치과교정학회
저자명
Samer Mheissen Haris Khan Mays Aldandan Despina Koletsi
간행물 정보
『The Korean Journal of Orthodontics』제54권 제6호, 374~391쪽, 전체 18쪽
주제분류
의약학 > 기타의약학
파일형태
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발행일자
2024.11.25
무료

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국문 초록

Objective: This meta-epidemiological study aimed to determine whether optimal sample size calculation was applied in orthodontic cluster randomized trials (CRTs). Methods: Orthodontic randomized clinical trials with a cluster design, published between January 1, 2017 to December 31, 2023, in leading orthodontic journals were sourced. Study selection was undertaken by two independent authors. The study characteristics and variables required for sample size calculation were also extracted by the authors. The design effect for each trial was calculated using an intra-cluster correlation coefficient of 0.1 and the number of teeth in each cluster to recalculate the sample size. Descriptive statistics for the study characteristics, summary values for the design effect, and sample sizes were provided. Results: One-hundred and five CRTs were deemed eligible for inclusion. Of these, 100 reported sample size calculation. Nine CRTs (9.0%) did not report any effect measures for the sample size calculation, and a few did not report any power assumptions or significance levels or thresholds. Regarding the specific variables for the cluster design, only one CRT reported a design effect and adjusted the sample size accordingly. Recalculations indicated that the sample size of orthodontic CRTs should be increased by a median of 50% to maintain the same statistical power and significance level. Conclusions: Sample size calculations in orthodontic cluster trials were suboptimal. Greater awareness of the cluster design and variables is required to calculate the sample size adequately, to reduce the practice of underpowered studies.

영문 초록

목차

INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
CONCLUSIONS
REFERENCES

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APA

Samer Mheissen,Haris Khan,Mays Aldandan,Despina Koletsi. (2024).Unaccounted clustering assumptions still compromise inferences in cluster randomized trials in orthodontic research. The Korean Journal of Orthodontics, 54 (6), 374-391

MLA

Samer Mheissen,Haris Khan,Mays Aldandan,Despina Koletsi. "Unaccounted clustering assumptions still compromise inferences in cluster randomized trials in orthodontic research." The Korean Journal of Orthodontics, 54.6(2024): 374-391

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