Yeah this is the scary part about this. These claims embolden people who don't take the time to read the work or don't understand it to make outrageous unscientific claims like we know for a fact that there would be 745k less dead people if x y or z.
This then further emboldens the misinformed people on the other side of the debate to be categorically anti science because they have easy go to evidence of "scientific claims" that are easily debunkable.
Whereas this absolutely is not even what they are claiming and it would never be in the realm of science under any circumstances to make this claim the way you are stating it.
> Fig. 1. Conceptual model of the possible causal relationship between exposure to long working hours and ischemic heart disease and stroke.
All they are doing is tying a statistical extrapolation of some data regarding the correlation of prevalence of ischemic heart disease and stroke with length of work week and then extrapolating, proposing a POSSIBLE CAUSAL MODEL for this and then tying this first layer of data to
> ESTIMATES of population exposed to long working hours
They absolutely did not systematically prove causality of anything and certainly not by a long shot did they prove the causality of overwork in specific numbers of deaths.
Also check out their own ratings of the confidence in the data they used:
> Ischemic heart disease (Li et al., 2020a) c 41–48 hours/week 20 studies (312,209 participants) 0.99 (0.88–1.12) Low quality Inadequate evidence of harmfulness No
49–54 hours/week 18 studies (308,405 participants) 1.01 (0.82–1.25) Low quality Inadequate evidence of harmfulness No
≥55 hours/week 22 studies (339,680 participants) 1.17 (1.05–1.31) Moderate quality Sufficient evidence of harmfulness Yes
Stroke (Descatha et al., 2020) d 41–48 hours/week 12 studies (265,937 participants) 1.04 (0.94–1.14) Low quality Inadequate evidence of harmfulness No
49–54 hours/week 17 studies (275,181 participants) 1.13 (1.00–1.28)e Moderate quality Limited evidence of harmfulness No
≥55 hours/week 7 studies (162,644 participants) 1.35 (1.13–1.61) Moderate quality Sufficient evidence of harmfulness Yes
Most of their data is by their own admission judged to be of low quality for proving this point and in two cases over a high threshhold they established that moderate quality data was sufficient to establish "evidence of harmfulness"
Basically it is difficult to communicate how many different levels you are incorrect on.