Not a fan of research waste either, but. . .
www.history.com/news/here-ar...

This is amazing, thank you for sharing. Its so interesting to see how this discourse has evolved. I wonder if Smith 1957 would convince clinicians. . 😎.

Yeah I don't know a good paper on that. I even asked Chat GPT! I think it would fill a need and someone should write it. Great opportunity for epi+med collab.

Is this the sort of paper you're looking for. www.bmj.com/content/359/...

It's challenging to be good, address the topic, and convince clinicians—the third one is tough!

would love to collab.

5-10

You make an excellent point, but I will continue to pore over my measurements each morning as I sip coffee.

The unstated hypothesis seems to be 'increase HRV through lifestyle modification -> improve Y.' And Y is not clearly specified, but is roughly resiliance to stress. I find this extremely troublesome. [1] How would Y be rigorously measured? [2] Has this study been done? I haven't found it yet.

Wouldn't they use an AI-based detection tool?

This is refreshing to see and hear ☺️

This critique of another self-controlled case series may be relevant. youtu.be/9DUUNsnmr2Y?...

I would say so, particularly the issue of censorship prior to recruitment. In fairness they recognize this but I do not know enough about the setting or their Farrington adjustment to know whether it's adequate to deal with potential biases. A target trial approach would help here...

It turns out that as long as the incidence is low, the bias is very small. It's likely to be smaller than the bias from uncontrolled confounding in between-person comparisons (I worked on case-crossover designs in air pollution epi)