For each question, the appropriate response method is evidence synthesis. This is my own opinion as all my tweets are. I believe in AI, Web3, and @WriteInStone.
Feb 14, 2023 • 9 tweets • 3 min read
Why are we still looking through guidelines to get a clinical answer? Naturally, we need a chatbot that was trained on these guidelines so we can simply ask⚡ [Thread] 👇
A quick & dirty search on PubMed revealed no relevant studies among 61 results. A 2022 scoping review did not report any chatbots like that either: doi.org/10.2196/35882 BTW, only 88% of the chatbots studied were reported technically well 😱 2/8
Jan 24, 2023 • 8 tweets • 2 min read
When someone asks me what I do, and I reply with something like ‘I’m an evidence synthesis researcher,’ they are usually having a hard time understanding that. It need not be this way. In fact, knowledge synthesis is something everybody does every day of their lives. [Thread] 👇
When we’re asking Google to list restaurants in the area, this is knowledge synthesis. And when we’re scrolling today’s news, this is knowledge synthesis too. The platforms do it in our stead. But when a physician is looking up options for treating a difficult patient? 2/8
Nov 12, 2022 • 8 tweets • 4 min read
It’s been two years since I started working on my Reproducible Systematic Subset query for #PubMed to power my knowledge synthesis appraisals at zheln.com, and look what I have found so far ⬇ 1/8
First and foremost, your regular PubMed searches you see when reading through evidence syntheses are fundamentally irreproducible – in part, at best. This is because they usually do not account for indexing dates – the issue I fixed in the RSSB 2/8
Jul 12, 2021 • 6 tweets • 1 min read
1/ Both the Coldblooded and the City military practiced their initiation rituals. Among the former, an incision would be made in six strokes on the new adept’s left forearm by the most skillful local swordsman.
2/ The incision would heal leaving a lifelong scar that resembled a mirrored uppercase letter sigma half-doubled along the long axis.
Jul 12, 2021 • 16 tweets • 3 min read
1/ As the story tells, there were sometime the people called #Equiz. They lived in the country and did not know any technology. When firearms came to be, it somehow turned that many Equiz did not accept them.
2/ These have preserved the white arms as their weapon of choice and resisted technology ever since. Slaughter between the two factions has endured for many years, although the exact cause of it has now fallen into oblivion.
