Table 5. The association between Modic changes and activity limitation.
MCs type(s) | Study | Outcome measure | OR (95% CI) | Mean difference • |
---|---|---|---|---|
Clinical studies | ||||
MCs, any type | Kleinstuck 2006 [42] | RMQ (0–24) | 1.1 (-1.75–3.95) p = 0.45 | |
Annen 2016 [51] | ODI (0–100) | 3.32 (-0.73–7.37) p = 0.11 | ||
MCs1 | Schistad 2014 [49] | ODI (0–100) | 2.8 (-4.65–10.25) p = 0.46 | |
MCs2 or 3 | Schistad 2014 [49] | ODI (0–100) | 5.4 (-0.33–11.13) p = 0.07 | |
Non-clinical studies | ||||
MCs, any type | Koyama 2013 [63] | Osaka City University Questionnaire (OCU-test) | 0.20 (0.01–4.27)£ | |
Mok 2016 [64] | ODI (0–100) | NS* | ||
Mok 2016 [64] | RMQ (0–24) | NS* | ||
Määttä 2016 [67] | ODI (0–100) | 1.47 (1.04–2.10) | ||
MCs1 | Määttä 2016 [67] | ODI (0–100) | 1.23 (0.67–2.24) | |
MCs2 | Määttä 2016 [67] | ODI (0–100) | 1.56 (1.06–2.31) | |
Case-control studies | ||||
MCs1 | Rannou 2007 [68] | Quebeck Disability Score (0–100) | 1 (-10.65–12.65) p = 0.87 | |
MCs2 | Rannou 2007 [68] | Quebeck Disability Score (0–100) | 4 (-6.68–14.68) p = 0.48 |
•: (MCs+)-(MCs-) calculated from raw data where available, using t-test.
*: No raw data supplied.
£: Added 0.5 to all cells in 2x2 table.