The article discusses how observational studies can be affected by bias when comparing the effects of different treatments. To address this issue, researchers use a method called propensity score matching. This method helps create fair comparisons between groups by matching individuals who are similar in their likelihood of receiving a treatment. The researchers applied this method to a study on systemic sclerosis, a rare disease, and found that propensity score matching can help reduce bias in observational studies of treatment effects.