Luther wrote:Thank you for your responses. Evidence is limited to observational studies and anecdotal evidence, which makes it hard to draw any conclusions at this moment. I expect more studies will be conducted in the future, as the prevalence of men with an implant increases. Anyway, for most men considering an implant the topic likely will not have a prominent place on their list of pros and cons of an implant.
Apologies in advance...I find perverse pleasure in clinical statistics and I occasionally rant.
I truly don't know anything about breast implant health difficulties specifically, I really don't, but having spent my career in healthcare clinical marketing I am too familiar with the age old wrestling match between
correlation and
causation. My REM sleep is unfortunately littered with unfinished statistical arguments; I wish it were otherwise.
As relates to breast implants causing other health detriments...I truly don't know. Maybe they do, but maybe they don't. I'm not sure the proper statistical work has been done so anyone definitively knows (yet). There may be a relationship or there may not be. Researchers should be looking for definitive evidence that breast implants specifically caused the reported post-implant systemic symptoms. That work is probably going on now in earnest but at the moment it may be that breast implant illnesses reported are just a diagnosis of exclusion (what's left and given a name after all symptoms have been worked up and other disease processes ruled out).
These kinds of clinical questions are always going to be tough to distill down to some kind of definitive and statistically reliable truth until there is
1. A removal of the emotionality associated with a specific hypothesis (super challenging, but necessary) and
2. Data developed which comes not from observational and (hindsight) meta-analyses but, rather, from large scale, prospective, randomized, multi-center, double blinded, placebo controlled, peer-reviewed studies (these being the gold standard of evidence-based medicine).
So this is always the thing- even if there is a
correlation between two variables, we cannot simply conclude that one variable
causes a change in the other. This relationship could be coincidental, or a third or who knows how many other unknown factors may be causing
both variables to change, right?
Seeing two variables moving together does not necessarily mean we know whether one variable
causes the other to occur. A strong correlation might
imply causality but there could easily be other explanations. It frequently may be the result of random chance (where the variables appear related but there is no true underlying relationship) or there may be some other unknown lurking variable that that makes the relationship appear stronger (or weaker) than it actually is.
Skin cancer, for example, is known to be positively correlated with exercise. How can that be, that the more you exercise, the more skin cancer people get? Seems counterintuitive. But it's the other variables that need a good looking at. At what latitude does the person live? ("exercise" in Alaska means something different than "exercise" at the equator; it's reasonable to statistically analyze whether, for example, "exercise" in Alaska means predominantly indoors activities (due to climate, available light, cultural preference) and whether "exercise" in Brazil means mostly outdoors, at a beach, and in much more constant exposure to a more pronounced and prolonged sun's UV. Once you start thinking of examples it's kind of eye opening how causation and correlation are kissing cousins but often nothing more.
So it may well be true that there is no current definitive epidemiological evidence to support a direct link between breast implants and any specific disease process. But even if that's the case, this does not mean further research is not indicated - it probably is. Probably the same line of thinking with our beloved penile implants. Though I've done the risks vs rewards math for myself and (with the available data and my experiences so far) wouldn't trade this Titan for anything...
54 yrs. Blessed with highly sexual 52 yr old wife. Pills 10 years, then 9 yrs Trimix. 28 cm Titan Touch XL 2019, Laurence Levine, Rush Univ Med Ctr, Chicago. Implant = nonstop fun. Hypogonadal, so also 10+ years testosterone replacement.