Rarely were the statistical flaws/ endemic biases in Nissen’s methodology mentioned in press accounts:<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" ?>
….As the precise mechanisms underlying the actions of thiazolidinediones (TZDs) are largely unknown, it is a quantum leap to say that one drug in the class is safer than the other.
Re: PROACTIVE-ACTOS TRIAL. The primary end point, a broad composite that included coronary and peripheral vascular events, showed a trend toward benefit from pioglitazone (hazard ratio, 0.90; P=0.095). A secondary end point consisting of myocardial infarction, stroke, and death from any cause showed a significant effect favoring pioglitazone (hazard ratio, 0.84; P=0.027).”
In plain English, “a trend toward benefit” is not material. Specifically, the primary end point occurred in 21% of patients on pioglitazone, compared with 25.5% of the patients on placebo. Pioglitazone's total risk reduction of 10% was not considered statistically significant. The study was powered to show a 20% reduction in the composite of primary end-point events.
Albeit the secondary end point—death, nonfatal heart attack, and stroke—was statistically significant, Nissen failed to mention heart failure occurred more frequently in the pioglitazone group (10.8% of patients) than in the placebo group (7.5% of patients), with 5.7% versus 4.1% being hospitalized.
http://10qdetective.blogspot.com/2007/05/who-benefits-from-avandias-reported.html
Best-
David J. Phillips, Publisher
A KIPLINGER’S PERSONAL FINANCE & BUSINESSWEEK "MUST-READ" BLOG!
I have to wonder about Dr Nissen's true interest in this. He pulled the information for the article from selected studies. You can "create" any conclusion if you include only the studies that show what you want to find and ignore the ones that do not.
I understand Dr Nissen is interested in running the FDA. Could this be the real reason for all of this "noise" about Avandia?
Looking at the numbers from another perspective, i.e. in relation to the total number of patients concerned, the difference is important, i.e. 86 - 72 = 14 and 39 - 22 = 17 in relation to 28,000 patients. Here these numbers may well lie within the statistical spread of the numbers concerned.
In other words, the numbers presented may be statistically insignificant to make such an alarming conclusion.
On the other hand where there is smoke, there might be fire, so the matter should be looked into more extensively.