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However, these studies have serious methodological flaws, such as selection bias, diagnostic inclusion bias, and observer bias.
Most investigations suffer from methodological flaws such as inadequate study design, poor reporting of results, small sample size, and publication without appropriate peer review process.
Generally, these studies had notable methodological flaws such as their retrospective nature, selection discrepancies in allocation of the patients to treatment groups and had mixed quality of reporting complications and reoperation rates.
A number of primary studies assessing the association between diabetes and separate geriatric outcomes had methodological flaws, such as a cross-sectional design [13], [21], [22], problematic diabetic ascertainment [23], [24], or inadequate consideration of potential confounders [25].
However, pathway effectiveness is difficult to determine given methodological flaws, such as small or single center cohorts.
When trials that have major methodological flaws such as these are pooled, the results need to be interpreted with caution.
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Apart from the methodological flaws inherent in such cocktail-party theorising, the aquatic ape idea is plagued by several other problems.
Transport parameters were most sensitive to such methodological flaws, but k 3 and k 4 were also affected, and even the allegedly robust CMRglc was subject to substantial changes.
For example, you mention the cluster of infants with pulmonary hemorrhages allegedly linked to Stachybotrys, but do not note that a subsequent re-analysis of the study revealed such serious methodological flaws that its conclusions were retracted.
3 Consistent with the literature evaluating the risk of bias due to reported design characteristics of randomised trials, 38 39 our study did not detect any effect of trial-level methodological flaws on objective laboratory outcomes such as reduction in serum LDL cholesterol concentration.
This is despite significant methodological flaws being identified in primary studies, such as small sample sizes, baseline differences between treatment and control groups, high drop-out rates, lack of assessor blinding, and intention to treat analyses [ 6, 7, 9].
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