Predicting pain recovery in patients with acute low back pai…

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2018
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  • DOI 10.1002/ejp.1308
  • PMID https://pubmed.ncbi.nlm.nih.gov/30144211
  • OpenAlex ID W2888559595
  • Type Article
  • Language EN
  • Published 25 Aug 2018
  • Volume 23 (2)
  • Pages 341–353
  • Source European Journal of Pain
  • Publisher Wiley
  • FWCI 1.29
  • Countries 2
  • Institutions 4
  • Added 31 Aug 2018
  • Updated 30 Oct 2026
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Predicting pain recovery in patients with acute low back pain: Updating and validation of a clinical prediction model

Article 2018 EN Bronze

BACKGROUND: The prognosis of acute low back pain (LBP) is typically good; however, there is substantial variation in individual patient's outcomes. We recently developed a prediction model that was able to predict the likelihood of pain recovery in patients with acute LBP who continue to have pain approximately 1 week after initially seeking care. The aims of the current study were to (a) re-categ…

26

Citations

34

References

6

Authors

1.29

FWCI

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
6 authors
#AuthorInstitutionsORCID
1 Tatiane Mota da Silva Corresponding Macquarie University (AU)
2 Petra Macaskill The University of Sydney (AU)
3 Alice Kongsted University of Southern Denmark (DK)
4 Kathryn A.G. Mills Macquarie University (AU)
5 Christopher Gerard Maher Institute for Musculoskeletal … (AU)
6 Mark Jonathan Hancock Macquarie University (AU)
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