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These differences observed between different studies may be attributed to differences in the population tested and to the test protocol itself especially the positioning of the subject.
The discrepancies between different studies may be explained by demographic differences in the study populations.
Possible explanations for the discrepancy of the findings between different studies may be related to small sample sizes, differences within the study population, or method of EPC isolation and identification.
Consequently, the possible differences in antioxidant activity demonstrated, in addition, by the R values between different studies may be due to different phenolic profile of the biomolecules that determine this property, mainly of phenolic compounds.
However, paper by Galamb et al. does not provide details on sample cellular composition and without an access to the histological assessment of tissues enrolled to microarray studies further result comparison between different studies may be possible only to some extent.
Furthermore, different patient materials and the choice of different primer sets between different studies may influence the results.
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The difference between rates in different studies may relate to the samples and methods used.
In summary, the non-agreement between findings from different studies may be explained, at least partially, by the different assay methodology, in some cases the use of frozen samples more than a decade old, the different recruitment criteria used in the selection of the cohort, the size of the study sample and perhaps the age composition of the cohorts studied.
The difference between the results of the different studies may be related to the fixed error sources: Both the SCoRE and the IHA methods start from the assumption that there is a GH-JRC with only three rotational degrees of freedom.
Differences between the levels of immunodeficiency in the different studies may account for these differences.
The heterogeneity between the outcomes observed in different studies may be attributable to effect modification by genetic factors, for example polymorphisms of the CYP1A2 genotype, an enzyme involved in the metabolism of caffeine (Goodman et al, 2003).
More suggestions(15)
between different extracts may
between different environments may
between different tissues may
between different sensors may
between different genes may
between different methods may
between different parameters may
between previous studies may
between different groups may
between different algorithms may
between different subtypes may
between different parts may
between different ceramics may
between different instructors may
between different levels may
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