The author of this paper “t-tests, non-parametric tests, and large studies—a paradox of statistical practice?” puts it better than I can paraphrase:
“Non-parametric tests are most useful for small studies. Using non-parametric tests in large studies may provide answers to the wrong question, thus confusing readers. For studies with a large sample size, t-tests and their corresponding confidence intervals can and should be used even for heavily skewed data.”
I’d say most clinicians 1) use WMW for skewed, not just ordinal, data and 2) read table 1 as a comparison of means and medians. Should people ditch non-parametric tests for table 1?