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Table 1 Measures comparison of included versus excluded participants

From: Should we separately measure the pain parameter of the Constant-Murley score in patients with chronic shoulder pain?

Measure

Included (n = 433)

Excluded (n = 95)

N

P value

Sex (categories)

Men

Women

Men

Women

95 (100%)

 

Number of patients

379 (88%)

54 (12%)

76 (80%)

19 (20%)

 

0.054

Age (years)

47 ± 11

48 ± 9

95 (100%)

0.699

Rotator cuff issue (%)

70.90

63.16

95 (100%)

0.138

Fracture (%)

15.70

21.05

95 (100%)

0.205

Operated (%)

68.82

65.26

95 (100%)

0.500

Professional accident (%)

60.05

63.16

95 (100%)

0.574

BPI

4.45 ± 1.99

4.75 ± 2.16

43 (45%)

0.370

HADS-D

6.73 ± 4.00

6.09 ± 4.07

45 (47%)

0.311

PCS

21.23 ± 12.07

20.74 ± 13.28

31 (33%)

0.828

TSK

44.38 ± 7.58

45.28 ± 9.10

46 (48%)

0.454

entry

    

CMS total

42.76 ± 15.51

43.51 ± 18.27

88 (93%)

0.689

CMS pain

7.18 ± 2.90

7.12 ± 3.20

 

0.853

 CMS activity

8.70 ± 3.44

9.14 ± 3.40

 

0.266

 CMS mobility

21.68 ± 9.17

21.24 ± 10.40

 

0.685

 CMS strength

5.22 ± 4.42

6.22 ± 5.62

 

0.068

discharge

    

CMS total

53.31 ± 17.48

45.48 ± 19.50

65 (68%)

0.001

CMS pain

8.06 ± 3.19

7.39 ± 2.86

 

0.128

CMS activity

10.82 ± 3.77

9.31 ± 3.38

 

0.002

CMS mobility

26.79 ± 9.20

22.17 ± 10.38

 

< 0.001

CMS strength

7.74 ± 5.72

6.06 ± 6.42

 

0.030

evolution

    

CMS total

10.55 ± 10.86

8.04 ± 9.27

64 (67%)

0.079

CMS pain

0.87 ± 2.65

1.09 ± 2.35

 

0.548

CMS activity

2.13 ± 2.69

1.25 ± 2.62

 

0.015

CMS mobility

5.11 ± 5.94

4.02 ± 7.28

 

0.185

CMS strength

2.52 ± 3.70

0.82 ± 4.19

 

< 0.001

GPS

17.38 ± 7.70

16.87 ± 8.83

30 (32%)

0.729

Quantitative values = mean ± SD.

  1. CMS, Constant Murley Score.  BPI, Brief Pain Inventory.  HADS-D, Hospital Anxiety and Depression Scale – Depression.  PCS, Pain Catastrophizing Scale.  TSK, Tampa Scale for Kinesiophobia.  GPS, Global Psychological Score = geometric mean HADS-D, PCS, TSK. N, number of excluded patients with available data