Post by beebs on Nov 30, 2012 16:09:14 GMT -5
Article is a typical example of the travesty that is allopathic medicine.
Note the intervention of some doctors as part of damage control.
It illustrates confusion, and endless studies
that leads to a maze with no exit. The article is typical
in regards to illness theories and medications.
Years reading theories about diseases and medications and
meeting patients who did not take responsibility for their own
health, did no research, no criticial evaluation of pharmaceuticals,
developing endless new undiagnosable symptoms, led me to
conclude that unless there is trauma, life or death situation,
allopathic medicine, has nothing to offer.
Patients should do the same before popping pills for their ills, or
will end up on a nightmarish merry-go-round.
The only beneficiaries are prescribing doctors and Big Pharma. ;D
Choice is yours, cures that kills or look at other options.
Observational Studies Stir Controversy in Heart Failure
DURHAM, North Carolina and STOCKHOLM, Sweden — Two new observational studies in heart failure are provoking some controversy, as they both conflict with conclusions reached from previous randomized trials.
One study suggests aldosterone antagonists are not associated with improved survival or hospitalizations in elderly heart-failure patients [1], and the other study suggests ACE inhibitors/angiotensin-receptor blockers (ARBs) do benefit heart-failure patients with preserved ejection fraction [2].
Both studies are published in the November 28, 2012 issue of the Journal of the American Medical Association.
McMurray Troubled by JAMA Publication
Asked by heartwire how to interpret the results of these new studies, Dr John McMurray (University of Glasgow, Scotland), who wasn't involved in either analysis, was adamant that they should not be used to question results of previous randomized trials. "Frankly, I'm troubled that leading journals such as JAMA publish studies like this. I think they confuse doctors and patients and do more harm than good. We all know that you simply cannot deduce the effect of treatment from nonrandomized comparisons like this, no matter how much statistical adjustment you try to do," he commented.
Cont/.. www.medscape.com/viewarticle/775177?src=nldne