| Literature DB >> 25178255 |
Eric J Hegedus1, Chad Cook2, Jeremy Lewis3, Alexis Wright4, Jin-Young Park5.
Abstract
The use of orthopedic special tests (OSTs) to diagnose shoulder pathology via the clinical examination is standard in clinical practice. There is a great deal of research on special tests but much of the research is of a lower quality implying that the metrics from that research, sensitivity, specificity, and likelihood ratios, is likely to vary greatly in the hands of different clinicians and in varying practice environments. A way to improve the clinical diagnostic process is to cluster OSTs and to use these clusters to either rule in or out different pathologies. The aim of the article is to review the best OST clusters, examine the methodology by which they were derived, and illustrate, with a case study, the use of these OST clusters to arrive at a pathology-based diagnosis.Entities:
Keywords: Diagnosis; Likelihood ratios; Shoulder
Mesh:
Year: 2014 PMID: 25178255 DOI: 10.1016/j.ptsp.2014.08.001
Source DB: PubMed Journal: Phys Ther Sport ISSN: 1466-853X Impact factor: 2.365