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posted by martyb on Wednesday October 23 2019, @03:01AM   Printer-friendly
from the I-said-what? dept.

In an extremely rare reversal, the biotech company Biogen said that it will submit the experimental amyloid beta targeting drug aducanumab—which previously had its drug trial stopped as futile—to the Food and Drug Administration for approval.

The company said a “new analysis of a larger dataset” showed that the drug, aducanumab, reduced clinical decline in patients with early Alzheimer’s disease on multiple measures of the drug’s effectiveness. That directly contradicts a decision in March to halt studies of the therapy based on the recommendations of an independent monitoring board that was charged with protecting patients in the study.

The reversal came about because the decision to halt the study was made based on an early part of the dataset where the dosage was reduced in an effort to avoid a potential side effect. When results on patients exposed to higher doses in later portions of the study was available and factored in the results turned significant.

Biogen said that it conducted a new analysis in consultation with the FDA of a larger data set from the discontinued studies. The new analysis includes additional data that became available after the previous analysis showed the studies were “futile” — that it had no chance of succeeding. Biogen said that the new data show aducanumab is “pharmacologically and clinically active” and that it reduced patients’ clinical decline based on the results of a survey called Clinical Dementia Rating-Sum of Boxes (CDR-SB), which was the main goal of both studies.

After praising the announcement as "a testament to Biogen’s steadfast determination to follow the science and do the right thing for patients,”

Michel Vounatsos, Biogen’s chief executive, said in a statement. “We are hopeful about the prospect of offering patients the first therapy to reduce the clinical decline of Alzheimer’s disease and the potential implication of these results for similar approaches targeting amyloid beta.”

There is still discussion going on and analysts are examining and questioning the results, but with tens of millions affected by the disease worldwide, there is now a glimmer of hope.


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  • (Score: 0) by Anonymous Coward on Wednesday October 23 2019, @04:44PM (4 children)

    by Anonymous Coward on Wednesday October 23 2019, @04:44PM (#910863)

    No it's not some new economy--not everything has to validate your economic beliefs--it's just that you don't understand the reasoning for cutting off trials. The principle of the idea is sound. Whether or not it was done appropriately here, I don't know (I think the drug will ultimately fail but that's a different discussion than the one you're bringing up). Should we keep a trial going for a drug with preliminary results that make it impossible for the remaining data-set to reach statistical significance?

    If I started a trial for 100 people and I had already collected 99 samples--all with no outcomes--would it be a good use of anyone's resources or time to collect the 100th? Should I expose more people to possible long-term consequences? Anything to prevent your "new economy", let's do it, sure, just let us know!

  • (Score: 2, Insightful) by khallow on Wednesday October 23 2019, @11:30PM (1 child)

    by khallow (3766) Subscriber Badge on Wednesday October 23 2019, @11:30PM (#911037) Journal

    would it be a good use of anyone's resources or time to collect the 100th?

    Depends on why the 100th didn't get collected yet. If it didn't get collected because the drug caused a horrible outcome, then that's a particularly nasty sort of observation/confirmation bias.

    • (Score: 0) by Anonymous Coward on Thursday October 24 2019, @06:27AM

      by Anonymous Coward on Thursday October 24 2019, @06:27AM (#911127)

      I agree with you. However, I think if the decision is made on statistical grounds (not on results of a single case), there is no risk of confirmation bias. As long as the full algorithm and conditionals are laid out before and is followed without deviation, all should be good.

  • (Score: 2) by JoeMerchant on Thursday October 24 2019, @01:51AM (1 child)

    by JoeMerchant (3937) on Thursday October 24 2019, @01:51AM (#911078)

    it's just that you don't understand the reasoning for cutting off trials

    Reason for cutting off the trials is irrelevant. If full trials were required for initial approval, full trials should be required for approval after "very promising post analysis revealed a different outcome..."

    If the aborted trials were overkill, doing more than was required and they had passed the actual requirement threshold, then, sure. I don't think I know of any big corporations who make a habit of going to more expense than is necessary for regulatory requirements - except perhaps in the case of drug trials where multiples are started in secret, then aborted when they go the wrong way until one finally passes the threshold of significance.

    Should we keep a trial going for a drug with preliminary results that make it impossible for the remaining data-set to reach statistical significance?

    No, but clearly that's not what happened in the story.

    Anything to prevent your "new economy"

    I think you miss my point entirely, but being AC, you're not worth the time or effort to explain.

    --
    🌻🌻 [google.com]
    • (Score: 0) by Anonymous Coward on Thursday October 24 2019, @06:30AM

      by Anonymous Coward on Thursday October 24 2019, @06:30AM (#911130)

      >I think you miss my point entirely, but being AC, you're not worth the time or effort to explain.
      Fuck you too then.