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Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.

Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.

Parkinson Disease: Treatment

    • The recent Food and Drug Administration–approved drug Rytary is a novel designed capsule and delivery system containing both standard- and extended-release levodopa/carbidopa components that were designed to reduce the number of dosages taken per day. A recent randomized, double-blind, placebo-controlled study of Rytary in levodopa-naïve Parkinson disease (PD) patients showed significant improvements in the Unified Parkinson Disease Rating Scale and in quality of life measurements at 30 weeks compared with placebo. Rytary will need time in clinical practice to better define its role in therapy.  

Parkinson Disease: Treatment

    • The recent Food and Drug Administration–approved drug Rytary is a novel designed capsule and delivery system containing both standard- and extended-release levodopa/carbidopa components that were designed to reduce the number of dosages taken per day. A recent randomized, double-blind, placebo-controlled study of Rytary in levodopa-naïve Parkinson disease (PD) patients showed significant improvements in the Unified Parkinson Disease Rating Scale and in quality of life measurements at 30 weeks compared with placebo. Rytary will need time in clinical practice to better define its role in therapy.  

Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.

Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.

Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.

Practicing Evidence-Based Medicine

    • Even the most competent physician can be prone to misusing epidemiologic concepts. An example of inaccurate decision making, resting on Bayes’s theorem, occurred in a recent study in which primary care physicians were given clinical scenarios. Although the clinicians confidently provided their estimates of the probabilities of given disorders, no consensus could be found among the estimates. Another study assessed the ability of medical students, residents, and attending physicians to correctly determine the positive predictive value of a hypothetical screening test. The vast majority of respondents not only got the question wrong but also had an answer that would have led to the opposite clinical conclusions, guessing an incorrect positive predictive value of 95% when the true answer was 2%.
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