Exact(1)
When the clinical examination variable could be measured on a continuous scale, reliability was assessed by computing the intraclass correlation coefficient (ICC), using the one-way analysis of variance random effect parallel model [ 33].
Similar(59)
Demographic, historic, and preoperative physical examination variables were compared.
They employed 46 different anamnestic and examination variables and included 179 patients in their study.
A full list of clinical examination variables is presented in Additional file 1.
Case history, laboratory and clinical examination variables recorded before surgery were used in the analysis.
The clinical examination variables that demonstrated the strongest association with an 80% PAR to ACJ diagnostic block were identified (P≤.0.05) and the diagnostic accuracy estimates for these clinical examination variables was calculated as described above [ 36].
There was a statistically significant difference (p < 0.05) between all endoscopic examination variables, when comparing the control and study group.
Participants with hypercholesterolemia (aOR = 1.2; 95% CI, 1.0 1.3) were more likely to have cataracts in their health examination variables.
All history and physical examination variables were selected according to evidence or clinical relevance for subacromial and ACJ pathology.
The independent variables were divided into four categories: (1) socio-demographic factors, (2) health examination variables, (3) comorbidities, and (4) health behavioral risk factors.
Demographic data, anthropometric measures, physical examination variables, information about medical history and concomitant medications, as well as variables related to inclusion criteria will be collected.
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