Predicting recovery in patients with acute low back pain: A …

Established

24
Citations
28
Refs
2017
Year
Search Works
Work Details
  • DOI 10.1002/ejp.976
  • PMID https://pubmed.ncbi.nlm.nih.gov/28107604
  • OpenAlex ID W2572189735
  • Type Article
  • Language EN
  • Published 20 Jan 2017
  • Volume 21 (4)
  • Pages 716–726
  • Source European Journal of Pain
  • Publisher Wiley
  • FWCI 2.29
  • Countries 1
  • Institutions 2
  • Added 26 Jan 2017
  • Updated 30 Oct 2026
External Links
OpenAlex Record DOI Resolver PubMed
MENU
0

Predicting recovery in patients with acute low back pain: A Clinical Prediction Model

Article 2017 EN

BACKGROUND: There is substantial variability in the prognosis of acute low back pain (LBP). The ability to identify the probability of individual patients recovering by key time points would be valuable in making informed decisions about the amount and type of treatment to provide. Predicting recovery based on presentation 1-week after initially seeking care is clinically important and may be more…

24

Citations

28

References

7

Authors

2.29

FWCI

Citations by Year
Last 10 years
Topics
Keywords
UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
7 authors
#AuthorInstitutionsORCID
1 Tatiane Mota da Silva Corresponding Macquarie University (AU)
2 Petra Macaskill The University of Sydney (AU)
3 Kathryn A.G. Mills Macquarie University (AU)
4 Christopher Gerard Maher The University of Sydney (AU)
5 Christopher Michael Williams The University of Sydney (AU)
6 Chung‐Wei Christine Lin The University of Sydney (AU)
7 Mark Jonathan Hancock Macquarie University (AU)
Related Works
10

Data: OpenAlex