Friday, March 30, 2012

Simulacrisation in Drug Development. Part II.

Many Cancer Studies Are Actually Unreliable? Are you surprised? Definitively not: it is very logical and expectable due to the majority of trials are conducted by Big Pharma and their intellectual efforts in the field of research and science is very limited. We have already proven that the research which is conducted by Big Pharma or academia (sponsored or patronized by Big Pharma) simulates the real investigations of the Nature.

“Over the past decade, before pursuing a particular line of research, scientists (including C.G.B.) in the haematology and oncology department at the biotechnology firm Amgen in Thousand Oaks, California, tried to confirm published findings related to that work. Fifty-three papers were deemed ‘landmark’ studies (see ‘Reproducibility of research findings’). It was acknowledged from the outset that some of the data might not hold up, because papers were deliberately selected that described something completely new, such as fresh approaches to targeting cancers or alternative clinical uses for existing therapeutics. Nevertheless, scientific findings were confirmed in only 6 (11%) cases. Even knowing the limitations of preclinical research, this was a shocking result.”

Only 11%! It is not funny anymore! Sure, it is shocking for those who do not understand the new rules of Big Pharma game. Academia and Big Pharma are involved in production of simulacra and it is not surprised that their “research” is not reproducible (i.e. ontologically consistent). And it was already discussed earlier:

Unfortunately, Amgen’s findings are consistent with those of others in industry. A team at Bayer HealthCare in Germany last year reported4 that only about 25% of published preclinical studies could be validated to the point at which projects could continue.

The author is trying to describe the process of the simulacra production:

What reasons underlie the publication of erroneous, selective or irreproducible data? The academic system and peer-review process tolerates and perhaps even inadvertently encourages such conduct5. To obtain funding, a job, promotion or tenure, researchers need a strong publication record, often including a first-authored high-impact publication. Journal editors, reviewers and grant-review committees often look for a scientific finding that is simple, clear and complete — a ‘perfect’ story. It is therefore tempting for investigators to submit selected data sets for publication, or even to massage data to fit the underlying hypothesis.

The key words here are: “perfect story” and “data massage” – they are very important to the production of the miracle cure against cancer: the compound X inhibits receptor Y and in this way interacts the pathway Z etc etc.

Well, but what does the author propose? Guess what? More research, more work, more time and more money! Perfect – now there will be no choice even for simulated research to reach clinical trials! It will be even harder to cross the Valley of Death! But not for partisans of Valley of Death who know the situation and will use their knowledge to make huge profits.

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