By complicating factors I was referring to things that are known to have a notable impact on the outcome of this specific procedure. This is just summarizing what's known. It explicitly does not take into account the performance of any particular professional, team, or site.
Something like MRSA is entirely separate. "The survival rate is 98 out of 100, but in this region of the country people recovering from this sort of thing have been exhibiting a 10% risk of MRSA. Unfortunately our facility is no exception to that."
If the recipients of a procedure are predominately female and the patient is a male then you simply indicate that to them. "The historical rate is X out of Y, but you're a bit unusual in that only 10% of past recipients are men. I'm afraid I don't know what the implications of that fact might be."
You provide the known facts and make clear what you don't know. No weasel words - if you don't know something then admit that you don't know it but don't use that as an excuse to hide what you do know. It's utterly unhelpful.
most people cannot think like this
I'm not talking about patients, I'm talking about everyone, including doctors. They just can't think in a probabilistic sense. And you'll counter that it's just reporting facts, but they don't even know which ones to report to you, how to report them, none of it. It just doesn't seem to fit in many peoples heads.
I’ve undergone some surgeries that were not without risks and every time, i’ve been stonewalled by doctors when asking for basic information like “in your personal practice, what is the success rate for this surgery?”. Always something like “Oh, everyone is different, so there’s no way to give any estimates.” The only options are, either they have some estimate they think is accurate enough that they’re comfortable recommending the surgery but they won’t tell me (in which case they’re denying me useful information for their own benefit), or they have no idea and are recommending the surgery for some other reason (a very concerning possibility lol). Either way, it instantly makes our relationship adversarial to some extent, and means I need to do my own research if I want to be able to make an informed decision.
Everyone has complicating factors. Age, gender, ethnicity, obesity, comorbidities, activity level, current infection status, health history, etc. Then you have to factor in the doctor's own previous performance statistics, plus the statistics of the anaesthesiologist, nursing staff, the hospital itself (how often do patients get MRSA, candidiasis, etc.?).
And, of course, the more factors you take into account, the fewer relevant cases you have in the literature to rely on. If the patient is a woman, how do you correctly weight data from male patients that had the surgery? What are the error bars on your weighting process?
It would take an actuary to chew through all the literature and get a maximally accurate estimate based on the specific data that is known for that patient at that point in time.