Does introduction of thresholds in decision aids benefit the patient?
A threshold-based diagnostic approach is designed to find the optimal trade-off that minimizes expected harm, enhancing sensitivity and lowering specificity when appropriate, as in the given example of a symptom pointing to several life-threatening diseases. Findings-based algorithms, in contrast, solely consider clinical observations. A parallel workup, as opposed to a serial workup, additionally allows for all potential diseases to be reviewed, further reducing false negatives. The parallel threshold-based approach might, however, not be as good in other disease settings.
In a cohort with both treated and untreated patients with pituitary adenoma, headache prevalence was low compared with the general population. We found no link between clinical or radiologic variables and headache. Although a higher proportion of patients who underwent surgical treatment reported symptomatic relief, most patients who did not undergo treatment also improved. We believe that the unpredictable dynamics of headache over time and the lack of predictive and modifiable tumor-related variables associated with headache or treatment of headache weaken headache as a sole indication for pituitary adenoma treatment.