2010
DOI: 10.1136/bmj.c3515
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Small study effects in meta-analyses of osteoarthritis trials: meta-epidemiological study

Abstract: Objective To examine the presence and extent of small study effects in clinical osteoarthritis research. Design Meta-epidemiological study. Data sources 13 meta-analyses including 153 randomised trials (41 605 patients) that compared therapeutic interventions with placebo or nonintervention control in patients with osteoarthritis of the hip or knee and used patients' reported pain as an outcome.Methods We compared estimated benefits of treatment between large trials (at least 100 patients per arm) and small tr… Show more

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Cited by 481 publications
(290 citation statements)
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References 52 publications
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“…However, most of the trials had small sample sizes and this could have distorted our meta-analytic results. 51 Our results showed that curcuminoids are ineffective at alleviating stiffness. Knee stiffness has important clinical implications in OA; its presence indicates an increased risk of progression of the disease over time.…”
Section: Discussionmentioning
confidence: 63%
“…However, most of the trials had small sample sizes and this could have distorted our meta-analytic results. 51 Our results showed that curcuminoids are ineffective at alleviating stiffness. Knee stiffness has important clinical implications in OA; its presence indicates an increased risk of progression of the disease over time.…”
Section: Discussionmentioning
confidence: 63%
“…First, the majority of the included studies had relatively small sample sizes, potentially leading to unstable estimates of treatment effects, because smaller trials might be methodologically less robust and are prone to report larger effect sizes 75, 76. Therefore, the present meta‐analysis may have been underpowered to detect a true effect.…”
Section: Discussionmentioning
confidence: 97%
“…The assessment of risk of bias in the included studies [13][14][15], the magnitude and determinants of heterogeneity [16][17][18], the relative advantages of different methods to evaluate publication bias and small-study effects, [19][20][21] and the importance of a comprehensive search for relevant studies [22] are examples of meta-epidemiological studies that have guided the choice of optimal methods. We are aware of only three such metaepidemiological studies in NMA: Song et al evaluated the prevalence of inconsistency in networks with three treatments [23,24], Veroniki et al studied the prevalence of inconsistency in complex NMAs that included at least four treatments using two alternative methods [25] while Chaimani et al have provided empirical evidence about the impact of risk of bias and small study effects [26].…”
Section: Introduction Introduction Introductionmentioning
confidence: 99%