Bibliografia

1. Delitto A, George SZ, Van Dillen LR, Whitman JM, Sowa G, Shekelle P, et al. Low back pain. J Orthop Sports Phys Ther 2012; 42(4): A1-57.
2. Bronfort G, Haas M, Evans R, Leininger B, Triano J. Effectiveness of manual therapies: the UK evidence report. Chiropr Osteopat 2010; 18: 3.
3. Balagué F, Mannion AF, Pellisé F, Cedraschi C. Non-specific low back pain. The Lancet 2012; 379(9814): 482-91.
4. Freburger JK, Holmes GM, Agans RP, et al. The rising prevalence of chronic low back pain. Arch Intern Med 2009; 169(3): 251-8.
5. Smith BE, Littlewood C, May S. An update of stabilisation exercises for low back pain: a systematic review with meta-analysis. BMC Musculoskelet Disord 2014; 15(1): 416.
6. Hebert J, Koppenhaver S, Fritz J, Parent E. Clinical prediction for success of interventions for managing low back pain. Clin Sports Med 2008; 27(3): 463-79, ix - x.
7. Beattie P, Nelson R. Clinical prediction rules: what are they and what do they tell us? Aust J Physiother 2006; 52(3): 157-63.
8. Childs JD, Fritz JM, Flynn TW, et al. A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: a validation study. Ann Intern Med 2004; 141(12): 920-8.
9. Puentedura EJ, Cleland JA, Landers MR, et al. Development of a clinical prediction rule to identify patients with neck pain likely to benefit from thrust joint manipulation to the cervical spine. J Orthop Sports Phys Ther 2012; 42(7): 577-92.
10. Mintken PE, Cleland JA, Carpenter KJ, et al. Some factors predict successful short-term outcomes in individuals with shoulder pain receiving cervicothoracic manipulation: a single-arm trial. Phys Ther 2010; 90(1): 26-42.
11. Currier LL, Froehlich PJ, Carow SD, et al. Development of a clinical prediction rule to identify patients with knee pain and clinical evidence of knee osteoarthritis who demonstrate a favorable short-term response to hip mobilization. Phys Ther 2007; 87(9): 1106-19.
12. Vicenzino B, Smith D, Cleland J, Bisset L. Development of a clinical prediction rule to identify initial responders to mobilisation with movement and exercise for lateral epicondylalgia. Man Ther 2009; 14(5): 550-4.
13. Barton CJ, Menz HB, Crossley KM. Clinical predictors of foot orthoses efficacy in individuals with patellofemoral pain. Med Sci Sports Exerc 2011; 43(9): 1603-10.
14. Cleland JA, Mintken PE, Carpenter K, et al. Examination of a clinical prediction rule to identify patients with neck pain likely to benefit from thoracic spine thrust manipulation and a general cervical range of motion exercise: multi-center randomized clinical trial. Phys Ther 2010; 90(9): 1239-50.
15. Puentedura EJ, Landers MR, Cleland JA, et al. Thoracic spine thrust manipulation versus cervical spine thrust manipulation in patients with acute neck pain: a randomized clinical trial. J Orthop Sports Phys Ther 2011; 41(4): 208-20.
16. Rabin A, Shashua A, Pizem K, Dickstein R, Dar G. A clinical prediction rule to identify patients with low back pain who are likely to experience short-term success following lumbar stabilization exercises: a randomized controlled validation study. J Orthop Sports Phys Ther 2014; 44(1): 6-B13.
17. Patel S, Friede T, Froud R, Evans DW, Underwood M. Systematic review of randomized controlled trials of clinical prediction rules for physical therapy in low back pain. Spine 2013; 38(9): 762-9.
18. Learman K, Showalter C, O’Halloran B, Donaldson M, Cook C. No differences in outcomes in people with low back pain who met the clinical prediction rule for lumbar spine manipulation when a pragmatic non-thrust manipulation was used as the comparator. Physiother Can 2014; 66(4): 359-66.
19. Schwind J, Learman K, O’Halloran B, Showalter C, Cook C. Different minimally important clinical difference (MCID) scores lead to different clinical prediction rules for the Oswestry disability index for the same sample of patients. J Man Manip Ther 2013; 21(2): 71-8.