Why are confidence intervals more common than prediction intervals in medical papers? by Connie b. Dellobuono

Answer by Connie b. Dellobuono:

Prediction intervals predict the distribution of individual future points, whereas confidence intervals and credible intervals of parameters predict the distribution of estimates of the true population mean or other quantity of interest that cannot be observed.
For example:
Confidence interval is better choice when finding association between ethnicity (minority vs. majority ethnic groups) and breast cancer survival : Crude association , association adjusted for model 1 parameters, association further adjusted for socioeconomic position. The size of each square is proportional to the precision of the estimate and hence to the weight contributed by the individual study to the meta-analysis.

Why are confidence intervals more common than prediction intervals in medical papers?