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DamianTV
09-10-2014, 03:39 PM
http://science.slashdot.org/story/14/09/10/1248250/reanalysis-of-clinical-trials-finds-misleading-results


Clinical trials rarely get a second look — and when they do, their findings are not always what the authors originally reported. That's the conclusion of a new study (abstract), which compared how 37 studies that had been reanalyzed measured up to the original. In 13 cases, the reanalysis came to a different outcome — a finding that suggests many clinical trials may not be accurately reporting the effect of a new drug or intervention. Moreover, only five of the reanalyses were by an entirely different set of authors, which means they did not get a neutral relook.

In one of the trials, which examined the efficacy of the drug methotrexate in treating systemic sclerosis—an autoimmune disease that causes scarring of the skin and internal organs—the original researchers found the drug to be not much more effective than the placebo, as they reported in a 2001 paper. However, in a 2009 reanalysis of the same trial, another group of researchers including one of the original authors used Bayesian analysis, a statistical technique to overcome the shortcomings of small data sets that plague clinical trials of rare diseases such as sclerosis. The reanalysis found that the drug was, as it turned out, more effective than the placebo and had a good chance of benefiting sclerosis patients.

Hmm, I wonder if any of these studies were started with the intent of being Biased? Biased in order to obtain more funds from the Govt?

Only 20% of studies are 80% bullshit. Alternatively, 80% of studies are 20% bullshit. When restudied, the numbers came out differently, big suprise.

MelissaWV
09-10-2014, 04:00 PM
It's misleading to say "misleading" in a lot of these cases. It's more like the trials were poorly designed, leaving way too much open to interpretation. The example in the portion pasted to the OP is for a drug that looked inconclusive during the trial as originally analyzed, but somehow years later they applied a technique to compensate for the small data set and --- voila! --- it was actually effective.

DamianTV
09-10-2014, 04:38 PM
Perhaps "Misunderstood" in place of "Misleading" would be a better way to have phrased it?