Predicting recurrences in patients recently recovered from a…
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- OpenAlex ID W7160737186
- Type Preprint
- Language EN
- Published 27 Jun 2025
- Source OSF Preprints (OSF Preprints)
- Publisher Center for Open Science
- Added 10 May 2026
- Updated 28 Oct 2026
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Predicting recurrences in patients recently recovered from an episode of non-specific acute low back pain: Development and validation of a multivariable prediction model.
Preprint 2025 EN
Typical recovery from an acute episode of LBP is favourable with most patients recovering within 12 weeks, but much of the burden attributed to LBP is due to the recurrent nature of the condition. Ideally, clinicians treating LBP would be able to identify individuals at more or less risk of a recurrence. Being able to accurately predict risk of a recurrence would enable clinicians to provide more…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
7 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Simon French | — | — |
| 2 | Peter M. Kent | — | |
| 3 | Tatiane Mota da Silva | — | — |
| 4 | Chung‐Wei Christine Lin | — | |
| 5 | Mark Jonathan Hancock | — | |
| 6 | Tarcisio Folly de Campos | — | |
| 7 | Natasha Celeste Pocovi | — |
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