rvallee
Senior Member (Voting Rights)
Interesting article about overturning the use of placebo in clinical trials by relying on real-world data instead, to essentially use the patient population as control. It sadly sidesteps some facts about how the placebo-controlled part is sometimes omitted already without properly acknowledging it. PACE is typically referred to as a RCT despite being open label and having multiple treatment arms that muddy interpretation.
It also misses how some segments of medicine are currently specifically based on placebo and as such are impossible to properly control, their very aim is to change perception, not affect physiology. It seems that much of discussion about the rigor of clinical trials and medical research in general is based on aspirations about what they could be, rather than how they actually are.
There is some merit to this idea, to rely on real-world data, but what seems to be forgotten is the issue of patient populations where data is not properly recorded. In our case this would be devastating as most of the information is wrong except for patient-reported outcomes, which are rarely recorded at all and when they do get recorded are very distorted, even on official records.
So there remains the question of whether the comparisons would be fair or based on aspirational things like "50% of IAPT users recover" despite being 50% of a % of a % and the definition of "recovery" being meaningless despite being used in real-world practice. Meanwhile Australia still relies on misleading guidelines that claim 97% recovery rates for "CFS". Those serve as meaningless comparisons as they are completely made-up and further distorted.
https://www.wired.co.uk/article/end-of-placebo-trials
It also misses how some segments of medicine are currently specifically based on placebo and as such are impossible to properly control, their very aim is to change perception, not affect physiology. It seems that much of discussion about the rigor of clinical trials and medical research in general is based on aspirations about what they could be, rather than how they actually are.
There is some merit to this idea, to rely on real-world data, but what seems to be forgotten is the issue of patient populations where data is not properly recorded. In our case this would be devastating as most of the information is wrong except for patient-reported outcomes, which are rarely recorded at all and when they do get recorded are very distorted, even on official records.
So there remains the question of whether the comparisons would be fair or based on aspirational things like "50% of IAPT users recover" despite being 50% of a % of a % and the definition of "recovery" being meaningless despite being used in real-world practice. Meanwhile Australia still relies on misleading guidelines that claim 97% recovery rates for "CFS". Those serve as meaningless comparisons as they are completely made-up and further distorted.
“The primary purpose of a clinical trial is not to treat the individual who participates, it is to treat future patients,” says Charlotte Blease, a Keane Scholar at research initiative OpenNotes, which seeks to make healthcare more transparent. “Most patients are not debriefed after clinical trials and nobody even bothers to tell them afterwards what happened to the drug or what they were allocated, and that's really a terrible way to treat clinical participants.”
Fortunately, a potential solution to the ethical quandary raised by placebo groups is on the horizon. The digitisation of health records means real world evidence such as doctors’ notes and pathology reports could be used to create a synthetic control arm to replace clinical trials’ existing control arms.
This means rather than having patients taking a placebo in a clinical trial, the same results can be achieved by identifying patients in the real world at the same stage of illness and within a similar demographic. The same methodology that would usually be applied to analyse a control group can be applied to real world data to generate results that can be compared against the new treatment. For instance, this could involve analysing the efficacy of the real-world treatments being received by patients with a certain stage of cancer.
https://www.wired.co.uk/article/end-of-placebo-trials