nms
Well-Known Member
Actually, let me start. I'll link an article and we'll discuss it. Try to find problems with it and try to derive possible conclusions from it, either in tune with the peers or not.
This one is nice, everyone can see it as it's published for free and needs no credentials to access:
I think it touches some of the topics discussed here. For a start, let's say like most other articles I've read, the sample size is small and the results are not entirely conclusive, but maybe it'll be a starting point to stop ad homineming each other.
21% vs 17% is a 4% difference between real cannabis and placebo. I find this weird, when comparing to pharmaceutical drugs.
10% with cannabis withdrew vs 5% with placebo, so could this mean that cannabis may cause harm? If we assume the sample is valid, what could we link this difference too?
Note how the study clearly mentions the limits of itself, clarifying how it possibly renders the study inconclusive.
As for secondary outcomes, now we se a 6% difference for between cannabis and placebo. It's starting to get meaningful.
As to nervous system adverse events, we get double as muchf rom placebo?
More alarming is psychiatric disorders ocurring in 17% vs 5%. Many studies assess this with similar results. Could it be the drug? Is it that people more prone to using cannabis have mental conditions(studies exist on this)?
It seems that some effort was put into excluding extremes, but as it seems, I'm not alone in thinking the benefits "might be outweighed by their potential harms".
Note: I still am not finished with reading the article, but let's go through the methods, results and see if all this effort really means anything? I'm willing to do this, for this article and any other, because I believe in evidence. Do we all?
PS: Check referneces and bring other unrelated articles to the mix to make this more interesting. Feel free to hypothesize biological reasons for the data we find.
This one is nice, everyone can see it as it's published for free and needs no credentials to access:
Cannabis‐based medicines for chronic neuropathic pain in adults
This review is one of a series on drugs used to treat chronic neuropathic pain. Estimates of the population prevalence of chronic pain with neuropathic components range between 6% and 10%. Current pharmacological treatment options for neuropathic pain ...
www.ncbi.nlm.nih.gov
I think it touches some of the topics discussed here. For a start, let's say like most other articles I've read, the sample size is small and the results are not entirely conclusive, but maybe it'll be a starting point to stop ad homineming each other.
Cannabis‐based medicines may increase the number of people achieving 50% or greater pain relief compared with placebo (21% versus 17%; risk difference (RD) 0.05 (95% confidence interval (CI) 0.00 to 0.09); NNTB 20 (95% CI 11 to 100); 1001 participants, eight studies, low‐quality evidence). We rated the evidence for improvement in Patient Global Impression of Change (PGIC) with cannabis to be of very low quality (26% versus 21%;RD 0.09 (95% CI 0.01 to 0.17); NNTB 11 (95% CI 6 to 100); 1092 participants, six studies). More participants withdrew from the studies due to adverse events with cannabis‐based medicines (10% of participants) than with placebo (5% of participants) (RD 0.04 (95% CI 0.02 to 0.07); NNTH 25 (95% CI 16 to 50); 1848 participants, 13 studies, moderate‐quality evidence). We did not have enough evidence to determine if cannabis‐based medicines increase the frequency of serious adverse events compared with placebo (RD 0.01 (95% CI ‐0.01 to 0.03); 1876 participants, 13 studies, low‐quality evidence).
21% vs 17% is a 4% difference between real cannabis and placebo. I find this weird, when comparing to pharmaceutical drugs.
10% with cannabis withdrew vs 5% with placebo, so could this mean that cannabis may cause harm? If we assume the sample is valid, what could we link this difference too?
Note how the study clearly mentions the limits of itself, clarifying how it possibly renders the study inconclusive.
Cannabis‐based medicines probably increase the number of people achieving pain relief of 30% or greater compared with placebo (39% versus 33%; RD 0.09 (95% CI 0.03 to 0.15); NNTB 11 (95% CI 7 to 33); 1586 participants, 10 studies, moderate quality evidence). Cannabis‐based medicines may increase nervous system adverse events compared with placebo (61% versus 29%; RD 0.38 (95% CI 0.18 to 0.58); NNTH 3 (95% CI 2 to 6); 1304 participants, nine studies, low‐quality evidence). Psychiatric disorders occurred in 17% of participants using cannabis‐based medicines and in 5% using placebo (RD 0.10 (95% CI 0.06 to 0.15); NNTH 10 (95% CI 7 to 16); 1314 participants, nine studies, low‐quality evidence).
As for secondary outcomes, now we se a 6% difference for between cannabis and placebo. It's starting to get meaningful.
As to nervous system adverse events, we get double as muchf rom placebo?
More alarming is psychiatric disorders ocurring in 17% vs 5%. Many studies assess this with similar results. Could it be the drug? Is it that people more prone to using cannabis have mental conditions(studies exist on this)?
The potential benefits of cannabis‐based medicine (herbal cannabis, plant‐derived or synthetic THC, THC/CBD oromucosal spray) in chronic neuropathic pain might be outweighed by their potential harms. The quality of evidence for pain relief outcomes reflects the exclusion of participants with a history of substance abuse and other significant comorbidities from the studies, together with their small sample sizes.
It seems that some effort was put into excluding extremes, but as it seems, I'm not alone in thinking the benefits "might be outweighed by their potential harms".
Note: I still am not finished with reading the article, but let's go through the methods, results and see if all this effort really means anything? I'm willing to do this, for this article and any other, because I believe in evidence. Do we all?
PS: Check referneces and bring other unrelated articles to the mix to make this more interesting. Feel free to hypothesize biological reasons for the data we find.
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