Optimal designs for prediction studies of whiplash.
METHODS
Commentary.


OBJECTIVE
To provide guidance for the design and interpretation of predictive studies of whiplash associated disorders (WAD).


BACKGROUND
Numerous studies have sought to define and explain the clinical course and response to treatment of people with WAD. Design of these studies is often suboptimal, which can lead to biased findings and issues with interpreting the results.


METHODS
Literature review and commentary.


RESULTS
Predictive studies can be grouped into four broad categories; studies of symptomatic course, studies that aim to identify factors that predict outcome, studies that aim to isolate variables that are causally responsible for outcome, and studies that aim to identify patients who respond best to particular treatments. Although the specific research question will determine the optimal methods, there are a number of generic features that should be incorporated into design of such studies. The aim of these features is to minimize bias, generate adequately precise prognostic estimates, and ensure generalizability of the findings.


CONCLUSIONS
This paper provides a summary of important considerations in the design, conduct, and reporting of prediction studies in the field of whiplash.
The George Institute for Global Health, University of Sydney, Sydney, Australia. skamper@george.org.au
Steven J
SJ
Kamper
Mark J
MJ
Hancock
Christopher G
CG
Maher
D035843:Biomedical Research / Q000379:methods / Q000592:standards*; D006801:Humans; D019547:Neck Pain / Q000175:diagnosis / Q000209:etiology / Q000628:therapy*; D017410:Practice Guidelines as Topic / Q000592:standards; D011379:Prognosis; D012107:Research Design / Q000592:standards*; D014911:Whiplash Injuries / Q000150:complications / Q000175:diagnosis / Q000628:therapy*