“…We should also note that the present article is only one in a long line of studies and classification systems that have suggested phenotyping, or clustering, patients on the basis of psychosocial characteristics, with the eventual goal of predicting treatment responses or other pain-related outcomes (e.g., disability) [24;25;45;132]. Such efforts include measurement tools such as the West Haven-Yale Multidimensional Pain Inventory (MPI, [144]), which yields empirically validated subgroups of patients [206], the Örebro Musculoskeletal Pain Screening Questionnaire [31;156], which clusters patients according to their risk for developing persistent pain, the Treatment Outcomes in Pain Survey - Short Form (S-TOPS, [117]), which phenotypes multiple physical and emotional pain-related domains, the STarT back tool, designed as a primary care screening instrument, which predicts recovery from acute back pain [124;257], as well as models such as the fear-avoidance model [59;246], and the avoidance-endurance model [120;121]. The comparison (and perhaps eventual integration) of these measures and models is unfortunately beyond the scope of the present work, but it is noteworthy that essentially all of these classification systems lean heavily on the assessment of negative affective symptoms (e.g., depression, anxiety, distress] and maladaptive pain-related cognitions [e.g., catastrophizing) [205].…”