statistical significance

The study by Didier Raoult et. al., the one partly responsible for the massive, unwarranted use of hydroxychloroquine for COVID, has been picked to bits by a review panel hired by the journal that published it. It's now clear that the Raoult study was a methodological mess. How did it get published at all? Should it be retracted? Let's take a look.
How can physicians, in the care of their patients, translate research findings into useful information? P-values suggest differences, not effects. But could there be a simple solution?