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Available studies provide either a general overview of a large historical database without pooled analysis [11], included high percentage of patients requiring cardiovascular support [12], are based on a specific population of patients [13] or were based on a low number of reports representing a small population of patients [14].
iiiN = 1: only one eligible study without pooled analysis.
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Because of variation in outcome measures and forms of data, we describe the results of observational studies without a pooled analysis.
Moreover, preexisting diabetes in cancer patients at the time of diagnosis was associated with an HR of 1.41 for the risk of all-cause mortality compared to patients without diabetes in a pooled analysis of various types of cancer.
This pooled analysis is not without some limitations.
For survival analyses, data from the respective follow-up periods was analyzed individually followed by pooled analysis for the surveys without treatment (i.e. surveys 1, 3 and 4).
For data without significant heterogeneity, fixed effects model was employed for pooled analysis.
In the same way, a pooled analysis, including the whole group of symptoms without distinction by type, was performed.
In a pooled analysis of data from 97 cohorts involving people without vascular disease on enrollment, an increase in risk for vascular disease death was observed in those with blood glucose level <70 mg/dL on enrollment (7).
It is also interesting to note that the effect estimates obtained from the pooled analysis of human studies only and from the meta-analysis without bias adjustment are both around 1.59.
Dr. Leo Schouten, an author of the pooled analysis, noted in an e-mail message that questions about the association would linger.
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