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- W2071226907 abstract "The approach described in this paper may be helpful in establishing an early-warning, evidence-based mechanism for diagnosing vertigo, which can be utilized in medical education to reduce medical uncertainty.To use an evidence-based medicine approach to evaluate the probability of having vertigo using laboratory and demographic data.The study was conducted on 22 working days during July 2002. Targeted cases who visited a general hospital in southern Taiwan for routine physical examinations were asked to participate in the study and agreed to take additional tests during their visits. A total of 200 subjects were systematically and randomly selected from this data pool. We ran binary logistic regression on all these cases.The logistic regression model explained 71.3% of the variance in having vertigo or not. The equation for having vertigo was as follows: -21.855 + (1.132 x male gender) + (0.071 x age) + (-0.023 x systolic blood pressure) + (0.057 x diastolic blood pressure) + (0.048 x fasting glucose) + (0.051 x cholesterol) + (-0.005 x triglycerides) + (-0.361 x presence of cardiovascular diseases)." @default.
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- W2071226907 date "2006-01-01" @default.
- W2071226907 modified "2023-09-27" @default.
- W2071226907 title "Developing a predictive model for vertigo using demographic and laboratory data: An evidence-based medicine approach" @default.
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- W2071226907 doi "https://doi.org/10.1080/00016480510043468" @default.
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