Derivation of clinical prediction rules for identifying patients with non-acute low back pain who respond best to a lumbar stabilization exercise program at post-treatment and six-month follow-up

Auteurs

Christian Larivière, IRSSTFollow
Khalil Rabhi
Richard Preuss, Université McGillFollow
Marie-France Coutu, Université de SherbrookeFollow
Nicolas Roy
Sharon M. Henry, University of VermontFollow

Type de document

Études primaires

Année de publication

2022

Langue

Anglais

Titre de la revue

PLoS One

Première page

e0265970

Mots-clés

Maux de dos, Backache, Traitement médical, Medical treatment, Réadaptation physique, Physical rehaiblitation, Troubles musculosquelettiques, Musculoskeletal disease

Numéro de projet IRSST

2016-0013

Citation recommandée

Larivière, C., Rabhi, K., Preuss, R., Coutu, M.-F., Roy, N. et Henry, S. M. (2022). Derivation of clinical prediction rules for identifying patients with non-acute low back pain who respond best to a lumbar stabilization exercise program at post-treatment and six-month follow-up. PLoS One, 17(4), article e0265970. https://doi.org/10.1371/journal.pone.0265970