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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Pain. 2018 Jun;159(6):1035–1044. doi: 10.1097/j.pain.0000000000001183

Table 2.

Pressure pain detection thresholds (PPT) at the proximal tibia are predicted by ROC- and a priori- binary manikin classifications in individuals within the knee pain sample (n=322)

n (%) b (95% CI) β p
ROC-Derived Classifications
≥5/7 other sites 62 (19%) -0.20 (-0.37 to -0.03) -0.14 0.02
≥6/23 other sites 86 (27%) -0.19 (-0.34 to -0.04) -0.14 0.01
A priori Classifications
Above waist 189 (59%) -0.08 (-0.22 to -0.06) -0.07 0.26
Below waist 169 (52%) -0.17 (-0.30 to -0.03) -0.14 0.02
Contralateral to index knee 119 (37%) -0.14 (-0.28 to 0.002) -0.12 0.05
Axial pain 151 (47%) -0.01 (-0.15 to 0.12) -0.01 0.87
Widespread paina 31 (10%) -0.08 (-0.34 to 0.18) -0.03 0.55

Classifications are based on number or distribution of painful sites in addition to knee pain reported by participants on a body manikin. ROC; receiver-operating curve.

a

Widespread pain; classified according to American College of Rheumatology criteria37, including knee pain.

Bold indicates statistically significant associations.

Proportion (n, %) of participants with knee pain reporting other pain according to classifications are presented.

Unstandardized (b) and standardized (β) regression coefficients are presented.