Category: Medical Academia
How Can Smart People Be So Stupid?
This is a quick posting that begins to respond to the question posted today by Joe: What I don’t understand is why the majority of doctors at Columbia did not say “This is obvious abuse of patients, and it will not be tolerated here.” Given his richly-deserved malpractice record, why was [Gonzalez] even associated with Columbia? David Gorski answered it in part:...
The Weekly Waluation of the Weasel Words of Woo #2
You Can’t Foo’ Stu with Woo! A Spitzerian (“pointed”) analysis Last week’s inaugural game elicited several amusing and penetrating analyses, including that of the hands-down Gold Medal Winner, Stu. His was the first entry, introduced in a concise and alliterative imperative, and was both hilarious and timely. It implied most of the points discussed by others. This distinctive combination has moved me to grant Stu a legacy here at the W^5....
The ultimate in “integrative medicine”: Integrating the unscientific into the medical school curriculum
For the second week in a row I find myself throwing out the original post that I had planned on doing in favor of a different topic. The reason this week is, quite simply, having read Dr. Atwood’s excellent two part post Misleading Language: The Common Currency of “CAM” Characterizations (Part I; Part II). I don’t at this time intend to expand...
Misleading Language: the Common Currency of “CAM” Characterizations Part II
Background I promised readers the “Advanced Course” for this week, which undoubtedly has you shaking in your boots. Fear not: you’ve already had a taste of advanced, subtle, misleading “CAM” language, and most of you probably “got” it. That was R. Barker Bausell’s analysis of how homeopathy is “hypothesized to work.” In the interest of civility, let me reiterate that I don’t...
Misleading Language: the Common Currency of “CAM” Characterizations. Part I
The Best Policy From time to time I have been reiterating that correct use of the language has much to do with logic; I should add that it entails also honesty. I use the word “honesty” in its broadest sense… Concision is honesty, honesty concision—that’s one thing you need to know. —John Simon. Paradigms Lost: Reflections on Literacy and its Decline. New York, NY:...
Prior Probability: the Dirty Little Secret of “Evidence-Based Alternative Medicine”—Continued
This is an addendum to my previous entry on Bayesian statistics for clinical research.† After that posting, a few comments made it clear that I needed to add some words about estimating prior probabilities of therapeutic hypotheses. This is a huge topic that I will discuss briefly. In that, happily, I am abetted by my own ignorance. Thus I apologize in advance for simplistic or incomplete...
Homeopathy and Evidence-Based Medicine: Back to the Future Part V
Homeopathy and Science: Discussion, Summary and Conclusions I was not surprised by a couple of the dissenting comments after Part IV of this blog. One writer worried that I had neglected, presumably for nefarious reasons, to cite replications of Benveniste’s results; another cited several examples of “positive” homeopathy studies that I had failed to mention. I answered some of those points here....
The National Center for Complementary and Alternative Medicine (NCCAM): Your tax dollars hard at work
What’s an advocate of evidence- and science-based medicine to think about the National Center for Complementary and Alternative Medicine, better known by its abbrevation NCCAM? As I’ve pointed out before, I used to be somewhat of a supporter of NCCAM. I really did, back when I was more naïve and idealistic. Indeed, as I mentioned before, when I first read Wally Sampson’s...
Annals of Questionable Evidence: a new study reveals substantial publication bias in trials of anti-depressants
Part IV of the ongoing Homeopathy series will have to wait a day or two, because it is superceded by a recent, comment-worthy publication. Nevertheless, “H series” fans will find here a bit of grist for that mill, too. An important role for this blog is to discuss problems of interpreting data from clinical studies. Academic medicine has committed itself, on the...