Use of an evidence-based treatment algorithm in patients with proximal humerus fractures proved to be a helpful tool for decision-making and led to “satisfying” overall results with low complication and revision rates, according to published findings.

Researchers recorded quality of life and the level of autonomy before injury in 192 patients with isolated proximal humerus fractures, as well as classified the fractures and measured local bone quality. Researchers treated 83% of patients according to an evidence-based treatment algorithm that prioritizes patients’ demands and biology and includes all treatment options from conservative to reverse total shoulder arthroplasty. Radiographs, Constant score, subjective shoulder value and EuroQol-5D were reviewed at 3-month and 1-year follow-up, and researchers analyzed the rate of unplanned surgery.