Study with workers in nuclear industry suggests increased risk of cancer deaths
english.elpais.com
english.elpais.com
The analysis doesn't inspire a lot of confidence.
> We interpret the P value as a continuous measure rather than limiting interpretation to dichotomisation of the P value at a threshold for declaring significance (such as 0.05)
That seems weird to me.
The figure https://www.bmj.com/content/bmj/382/bmj-2022-074520/F1.large... shows a lot of their datapoints confidence intervals crossing 1.0
In addition, they are using 90% confidence intervals instead of 95% saying that this is what is often used in these types of studies. Interestingly, in their discussion, the other studies that have 95% confidence intervals seem to cross 0, quite a lot.
In addition, in their discussion, they characterize other studies as showing difference when the confidence interval includes 0:
>Analyses of mortality among French nuclear workers showed a positive association between estimated colon dose and solid cancer mortality (excess relative rate 0.69 (95% confidence interval −0.28 to 1.77) per Gy)58; we note that INWORKS includes a sizable fraction of this cohort. Analyses of mortality among US nuclear workers showed a positive association between cumulative dose and solid cancer mortality (excess relative rate 0.19 (95% confidence interval −0.10 to 0.52) per Gy), which was of larger magnitude among workers first hired after 1960
All this together makes me suspicious
The figure at https://www.semanticscholar.org/paper/Radiobiology-and-Radia... shows hormetic response (ERR<0).
So the new results make it more difficult to defend radiation hormesis if the ERR vs. dose is STEEPER at low doses than at larger doses.
Which might not be in conflict with this study, if nuke workers are (say) more careful than the average Jo/Joe and that more than makes up for the above small increase.