im sure there's other reasons but key things overall i think are: 1. a diagnosis gives you limits - what treatment can and can't be tried, what can trigger things, what's the prognosis, etc
2. it gives patients a community - there's tonnes of groups for people with all kinds of ailments, conditions, illnesses, disabilities. being able to talk to someone with a shared experience helps make everything less shit
3. it helps remove uncertainty - all the time a diagnosis isn't made, "what if" is constantly going through the patients head. this is particularly true when a dr then refuses to test for something that has some chance of providing a clue
4. rules things out - even if the answer is "you have X, we can't do anything for X", it means other things that might have different implications have been ruled out, i.e. the dr has been thorough and is certain you have X and not A, B, C
5. its gives patients a lead - i know we're in the middle of a "i did my own research" epidemic, but patients often LIVE (with) their condition 24/7. they're constantly thinking about it. they often read in depth about it and might come across helpful things the dr didn't know
i acknowledge with point 5 that this road also leads to misinformation, but this should be assessed case-by-case:
(i) if that's the case the dr needs to properly explain their thinking and give as much care to the patient as quackery does
(ii) if a patient comes with scientific papers and information from legit support groups of conditions with similar symptoms, the dr should not dismiss this
if you're a dr, and a patient is ill (in whatever way), your duty is not to gatekeep their #health. your duty is to help them. if you haven't tested enough to give a diagnosis then you are potentially harming your patient by withholding treatment
if you really have tested enough and you're still stumped, then you need to be the biggest advocate for your patient and find someone with more experience/knowledge than you to help.
patients should not be left hanging or fighting for answers.
i know some will highlight the obvious: the #NHS is crumbling, we dont have time for this so only test for more certain things that have a clear treatments
imo this is flawed & costs more long term: constant visits to the dr, lower quality of life, extended unnecessary suffering
anecdote on point 5(ii): in my long battle to get dr's to consider endometriosis, i mentioned to a dr that maybe this is an immune problem *and cited a review about the immunology of the menstruation & endometriosis" to which i was told "endometriosis is not an immune condition"
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As some of you know im suffering weird #neurological symptoms atm. The last week has been pretty awful. One of the weirder symptoms is called micrographia: writing getting smaller and smaller.
↙️ My writing on Tuesday (bad not awful day)
My writing on Wednesday (awful day) ↘️
Micrographia in itself *can* be an early sign of conditions like #Parkinsons
In patients with Parkinsons, closing their eyes whilst writing can often help mitigate micrographia
(in my case the rapid onset followed by rapid improvement makes me think / hope its just whatever the fuck is going on with my neuro-immunology not a sign of whats to come...😬)
during my #PhD, i conducted a side project investigating what the barriers are towards making changes to the #academicpublishing system to reduce publication #bias
ok i've used R now for about 10 hours so im definitely suitably enough experienced to say i hate it, its a big pile of shit, i dont know why this is what is popular, and i wish i had access to stata again. WAHHHHH
im sure people can tell me a million reasons why R is great. sorry to say: YOU'RE WRONG.
i will delete these tweets in a few weeks when it finally clicks and i think R is brilliant like everyone else does
when it comes to engaging #STEM#academics (an essential task in order to gain max momentum to tackle problems like #casualisation), i think 1 difficulty is that #activism uses a lot of logical fallacies. this makes taking action appear irrational 1/15
identifying an issue (e.g. casualisation) and claiming it impacts other issues (e.g. mental health problems) = potential false cause, and/or hasty generalisation fallacy
making broad statements (e.g. gender pay gap is a real problem) = ambiguity fallacy
3/15
i promised in this thread i'd offer an idea of an alternative #academic#publishing model, so here it is. be prepared, changing to this would require some seriously radical change... 1/17
il do this comparison with the last paper i got formally accepted to a journal as these 2 co-occured so there's no "time effect" or anything as a confounder. (JP = journal publishing; PP = preprint publishing) 2/9
JP: rejected 6 times (i think); 3 were editorial rejections *explicitly* mentioning the null findings as a reason for rejection
PP: paper is out there open for anyone to openly critique and i welcome this 3/9