Abstract
Persistent pain after breast cancer surgery is common with prevalence rates that range from 25% to 80%. Recently, we used growth mixture modeling to identify latent classes (i.e., subgroups) of patients with distinct trajectories of worst breast pain scores using a 0-10 numeric rating scale (NRS), reported prior to and monthly for 6 months after surgery. Four subgroups were identified: 126 patients (31.7%) with
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