Posting this because the summary going around does not say what the paper says, and the difference matters for how people here are using it.
Most of the hormonal change here is a consequence of adiposity falling rather than a drug effect. Less adipose tissue means less aromatase activity, so in men testosterone commonly rises and estradiol falls, and SHBG rises as insulin resistance improves — which means total testosterone can rise while free testosterone moves less than expected. In PCOS, improved insulin sensitivity frequently restores ovulation, which is a fertility change people are not always expecting.
Where I think it is weakest: the population was selected and supported in ways a real cohort is not, so I would read the effect size as a ceiling rather than an expectation.
What would genuinely help is knowing why total and free can move differently here, and which of the two is worth tracking. Happy to be told the question itself is wrong.
Note on sourcing:
Figures above are from the primary publication rather than the press summary. If a number here disagrees with one you have, post yours and we will work out which of us is reading a secondary source.