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A high degree of study heterogeneity precludes internal subgroup analysis or meta-analysis.
Formal pooling of the results was not performed owing to a high degree of study heterogeneity.
These were carried out to identify factors that might contribute to the high degree of study heterogeneity.
Owing to the high degree of study heterogeneity between studies, pooled estimates of the strength of associations were not performed.
Self-rated measures were compiled according to the Total Design Method [ 53, 54] in order to achieve a high degree of study compliance.
Similar(55)
There was a high degree of between-study heterogeneity in the included studies.
Studies with an I 2 statistic of >75% were considered to have a high degree of heterogeneity; studies with an I 2 statistic of 50-75% were considered to have a moderate degree of heterogeneity; and studies with an I 2 statistic of 25-50% were considered to have a low degree of heterogeneity [ 16].
Due to a high degree of heterogeneity of study designs and outcome measurements a meta-analysis of the reviewed data was not feasible.
A high degree of inter-study consistency was present in three of four groups analysed.
However, neither of these analyses took an effort to interpret the results in the context of relatively high degree of between-study heterogeneity with respect to treatment in the control groups.
Owing to the small number of studies identified, and high degree of heterogeneity in study settings and populations, it was inappropriate to undertake meta-analysis, meaning that overall summary estimates for diagnostic accuracy cannot be made.
More suggestions(15)
high degree of students
high degree of reliability
high proportion of study
high degree of customization
high degree of complacency
high degree of rigor
high degree of difficulty
high degree of uncertainty
high degree of identity
high level of study
high degree of consensus
high degree of patient
high dose of study
high degree of variability
high degree of scepticism
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