That typically excludes many studies done by chemical companies to get regulatory approval.
In epidemiology studies that use data modeling techniques, iron phenotype data are typically adjusted for common disease-related variables that cause abnormal serum iron concentrations, transferrin saturation values, or serum ferritin concentrations values, thus excluding many study subjects from final analysis [ 2, 51].
Restrictions on inclusion by study design and quality assessment excluded many weaker studies.
Although publication bias can never be completely excluded, many of the individual studies included in our meta-analyses were not statistically significant and were interpreted by their authors as negative studies suggesting a desire by authors to submit, and a willingness by editors to publish such work.
Stricter diagnostic criteria may have excluded many participants from some studies.
The strict inclusion criteria for those studies excluded many patients that would have normally presented for evaluation of acute respiratory symptoms in primary care[ 18].
However, this study excluded many patients with diabetic nephropathy, now the most common cause of ESRD.
However, it should be noted that this study excluded many growth-essential micronutrients from the analysis due to incomplete coverage in the INMUCAL database (i.e. content data for such micronutrients were available in less than 80% of all food items), including zinc, iodine, selenium, etc.
The protocol excludes many important studies, in part because of their design features (e.g., case-only designs; [ 13]) or because they reported symptom dimensions rather than categorical diagnoses of depression (e.g., [ 14]).
Nevertheless, it is important to note that in an attempt to maximise the power in this study, we have excluded many potentially interesting phenotypes from the case spectrum.
