2012
DOI: 10.2519/jospt.2012.3826
|View full text |Cite
|
Sign up to set email alerts
|

Derivation of a Preliminary Clinical Prediction Rule for Identifying a Subgroup of Patients With Low Back Pain Likely to Benefit From Pilates-Based Exercise

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
25
0
2

Year Published

2014
2014
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 32 publications
(28 citation statements)
references
References 68 publications
1
25
0
2
Order By: Relevance
“…Future RCTs should also investigate the long term efficacy of Pilates exercise to other treatments, such as massage, and confirm if there is any difference in effectiveness between Pilates exercise and various forms of exercise, such as aerobic exercise versus lumbar stabilisation [15]. Research into whether some people with CLBP may benefit from Pilates exercise more than others may also assist in clinical decision-making on whether Pilates exercise is suitable for individual clients [63], [64].…”
Section: Resultsmentioning
confidence: 99%
“…Future RCTs should also investigate the long term efficacy of Pilates exercise to other treatments, such as massage, and confirm if there is any difference in effectiveness between Pilates exercise and various forms of exercise, such as aerobic exercise versus lumbar stabilisation [15]. Research into whether some people with CLBP may benefit from Pilates exercise more than others may also assist in clinical decision-making on whether Pilates exercise is suitable for individual clients [63], [64].…”
Section: Resultsmentioning
confidence: 99%
“…Subgrouping of patients who share similar clinical characteristics has been recommended to achieve improved patient outcomes (Long et al, 2004;McKenzie and May, 2003;Stolze et al, 2012). A number of movement-based classification systems have been proposed within the past two decades for subgrouping patients (Dettori et al, 1995;Karayannis et al, 2012).…”
Section: Introductionmentioning
confidence: 98%
“…Previous CPR developed for rehabilitation programs in LBP populations [ 15 , 22 , 23 ] included 5 predictors or fewer in their final model. According to the formula suggested by Green [ 24 ] for regression analysis (50 + [8 x number of prognostic factors]), and considering the expected 5 variables in the final model, as well as an estimated 20% dropout rate, the ideal sample size was 108.…”
Section: Methodsmentioning
confidence: 99%