2019
DOI: 10.1186/s12955-019-1196-8
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Rehabilitation interventions in randomized controlled trials for low back pain: proof of statistical significance often is not relevant

Abstract: Background An observed statistically significant difference between two interventions does not necessarily imply that this difference is clinically important for patients and clinicians. We aimed to assess if treatment effects of randomized controlled trials (RCTs) for low back pain (LBP) are statistically significant and clinically relevant, and if RCTs were powered to achieve clinically relevant differences on continuous outcomes. Methods We searched for all RCTs incl… Show more

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Cited by 14 publications
(6 citation statements)
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“…Indeed, only one RCT derived the MD est from the effect size found in a systematic review. In rehabilitation trials of low back pain, 48 % of the RCTs referenced the source to calculate the MD estimate and under half of the trials discussed the clinical relevance of treatment effects when results did not reach statistical significance [ 17 ]. In the similar vein, the ethics committee documents of RCTs in United Kingdom found that 43 % justified the treatment effect size and 12 % discussed the clinical importance of it [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, only one RCT derived the MD est from the effect size found in a systematic review. In rehabilitation trials of low back pain, 48 % of the RCTs referenced the source to calculate the MD estimate and under half of the trials discussed the clinical relevance of treatment effects when results did not reach statistical significance [ 17 ]. In the similar vein, the ethics committee documents of RCTs in United Kingdom found that 43 % justified the treatment effect size and 12 % discussed the clinical importance of it [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…), but above all increases the statistical power by increasing the number of participants [36]. It is worth mentioning here that one should distinguish between the statistically significant differences (that can be achieved with the inclusion of more patients), and the clinical relevance of the observed difference (independent of the sample size) [37]. Unfortunately, although they offer the highest level of evidence, it does not mean that the conclusions of meta-analyses cannot be biased [24].…”
Section: Challenges In Validation Of New Intervention and Suggestions...mentioning
confidence: 99%
“…), but above all it increases the statistical power by increasing the number of participants [ 40 ]. It is worth mentioning that one should distinguish between statistically significant differences (that can be achieved with the inclusion of more patients) and the clinical relevance of the observed difference (independent of the sample size) [ 41 ]. Unfortunately, although they offer the highest level of evidence, it does not mean that the conclusions of meta-analyses cannot be biased [ 27 ].…”
Section: Current Situation and Limitations Of The Research And Its Tr...mentioning
confidence: 99%