Understanding the risks associated with healthcare interventions is essential for clinical decision-making and for the regulatory evaluation of new drugs. Yet, safety analyses in randomised controlled ...
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In clinical research, statistically significant effects do not necessarily indicate that an intervention provides benefits that are meaningful to patients. This is particularly important for ...
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Ethnicity data are essential in understanding how different groups are impacted by different treatments/healthcare interventions, but more work is needed in how these data should be collected, handled ...
Background Proton pump inhibitors (PPIs) have been widely used for over 35 years. However, in recent decades, numerous adverse drug reactions (ADRs) have been reported, with evidence often ...
Objectives Migraine headaches are common and potentially disabling disorders, with several interventions available for prevention and symptom reduction. We explored the comparative effectiveness and ...
Objectives Probability or risk outcome estimates tailored to individual patient characteristics can facilitate more personalised care, for example, regarding treatment. Yet, the uptake of prediction ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether prompt engineering improves their accuracy and alignment with expert reasoning.
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