ostermayer on Nostr: here is an example of how a pharmaceutical company can create a trial to make a drug ...
here is an example of how a pharmaceutical company can create a trial to make a drug ( in this case xofluza) look good while being essentially useless. many urgent cares are giving flu patients this med to "treat their flu".
first they create a primary subjective outcome (time to symptom improvement)
that endpoint showed "29 hr time" benefit for symptom improvement but when looking at return to pre-illness health it showed no significant difference compared to placebo (126.4h vs 149.8h, p=0.46)
they will choose healthy patients and exclude those who may suffer adverse effects - and they exclude hospitalized patients who may not even show a benefit
they will also focus on surrogate outcomes such as viral load irrespective of symptoms correlated to viral load
then they will bury a red flag deep in the paper where 9.7% of baloxavir-treated patients with H3N2 developed resistance mutations during treatment.
then they will perform a modified intention-to-treat (mITT) analysis and exclude 2.6% of patients from non-GCP-compliant site to potentially minimize data on patients with side effects that prevent their trial participation
all of this creates a publication that can headline as a great drug but really fails to improve patient health compared to placebo.
https://files.ostermayer.co/ison2020.pdfPublished at
2026-01-14 00:44:11 UTCEvent JSON
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"content": "here is an example of how a pharmaceutical company can create a trial to make a drug ( in this case xofluza) look good while being essentially useless. many urgent cares are giving flu patients this med to \"treat their flu\".\n\nfirst they create a primary subjective outcome (time to symptom improvement) \n\nthat endpoint showed \"29 hr time\" benefit for symptom improvement but when looking at return to pre-illness health it showed no significant difference compared to placebo (126.4h vs 149.8h, p=0.46)\n\nthey will choose healthy patients and exclude those who may suffer adverse effects - and they exclude hospitalized patients who may not even show a benefit \n\nthey will also focus on surrogate outcomes such as viral load irrespective of symptoms correlated to viral load\n\nthen they will bury a red flag deep in the paper where 9.7% of baloxavir-treated patients with H3N2 developed resistance mutations during treatment.\n\nthen they will perform a modified intention-to-treat (mITT) analysis and exclude 2.6% of patients from non-GCP-compliant site to potentially minimize data on patients with side effects that prevent their trial participation \n\nall of this creates a publication that can headline as a great drug but really fails to improve patient health compared to placebo.\n\nhttps://files.ostermayer.co/ison2020.pdf",
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