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As differences in radiographic protocols between studies can potentially result in varying degrees of magnification of the X-ray image, we could not reliably compare quantitative measures between studies; analysis of measured JSW was therefore limited to the HBM cases and family controls only.
Therefore the comparability of these measures between studies is limited.
Second, as noted by the authors, there was considerable heterogeneity and lack of standardised measures between studies, making cross-study comparisons challenging.
Furthermore, the differences in treated patient groups or fractures and outcome measures between studies may have masked relevant differences between the techniques under investigation in published studies.
Random-effects models were used when there was significant variation in outcome assessment measures between studies or when there was evidence of significant heterogeneity; otherwise, fixed-effects models were used.
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Table 6 shows the RDOR estimates from the meta-regression analysis using the Restricted Maximum Likelihood (REML) method to measure between-study variance.
The I 2 value measuring between-study heterogeneity was 60%9595% UI: 24 79%).
I-squared measures between study heterogeneity.
The Wilcoxon rank test was used to compare the measures between study groups.
Methods for assessing the statistical significance of the secondary outcome measures between study groups will take into account the clustered nature of the dataset.
Further, the biomarkers measured between studies are inconsistent, and therefore it is possible that biomarkers which change in response to resveratrol treatment are not even measured in some studies.
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