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Question
scenario: a group of researchers conduct a randomized, double - blind, placebo - controlled trial on obese, diabetic adults to determine whether the drug, ozempic, is more effective in promoting weight loss than a placebo group and a group receiving another drug (orlistat). after one year, the researchers report that the subjects receiving ozempic lost 5.8 kg (95% confidence interval 3.7 - 8.0; p < 0.0001) more weight than those on placebo and 3.8 kg (95% confidence interval 1.6 - 6.0; p < 0.0001) more than those on orlistat.
a physician treating an adult patient similar to the study population and currently receiving orlistat reads these results. the patient has not lost any weight while taking orlistat. the physician would like to switch his patient from orlistat to ozempic. based on the 95% confidence interval, what could the physician tell his patient about the weight loss they should expect from switching to ozempic?
they can expect weight gain
they can expect less weight loss
they shouldnt expect a change in their weight
they can expect more weight loss
Step1: Analyze the confidence interval for Ozempic vs Orlistat
The 95% confidence interval for the weight loss difference between Ozempic and Orlistat is \(1.6 - 6.0\) kg. A confidence interval gives a range of values within which the true population parameter is likely to lie. Since the entire confidence interval (\(1.6 - 6.0\)) is positive, it means that Ozempic is likely to lead to more weight loss than Orlistat.
Step2: Consider the practical implication
The patient has not lost weight on Orlistat. Given that Ozempic has a positive - valued confidence interval (indicating more weight loss than Orlistat) in the study, based on the study results, when switching from Orlistat (a drug with no weight loss for this patient) to Ozempic (a drug that in the study had a significant weight - loss advantage over Orlistat as shown by the confidence interval), the patient can expect more weight loss.
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They can expect more weight loss