No prognostic model for people with recent-onset low back pain has yet been demonstrated to be suitable for use in clinical practice: a systematic review

Author(s)

Silva, Fernanda G. ; Costa, Leonardo O. P. ; Hancock, Mark J. ; Palomo, Gabriele A. ; Costa, Luciola C. M. ; da Silva, Tatiane

• Document type: Journal article
• Source: JOURNAL OF PHYSIOTHERAPY; v. 68, n. 2, p. 11-pg., 2022-04-01.

Abstract

Objective: What model development and external validation studies exist that focus on the prognosis of patients with recent-onset low back pain (LBP)? What is the performance (in terms of discrimination and calibration) of these clinical prediction models? Methods: Systematic searches on MEDLINE, Embase and CINAHL were conducted. Model development and/or external validation studies of patients with recent onset LBP were selected. Models predicting outcomes of pain, disability, sick leave, work absence and self reported recovery, with at least 12 weeks of follow-up, were included. Risk of bias was assessed using the PROBAST instrument. Results: We identified 17 prognostic models developed to predict outcomes in people with recent-onset LBP: six models were in the development phase and 11 were in the validation phase. The most assessed prediction model was the Original Orebro Musculoskeletal Pain Questionnaire. The Da Silva Clinical Prediction Model was the only model, from a study with low risk of bias, that presented acceptable discrimination, demonstrating 'good' performance in predicting recovery from pain (C-statistic 0.71, 95% CI 0.63 to 0.78) and overall acceptable agreement in calibration. Conclusion: Most prediction models for prognosis of patients with recent-onset LBP did not perform well at discrimination, few studies reported calibration and their performance varied across studies. It seems premature to advocate use of the available models, at their current state of development and validation, for low back pain in primary care, considering their generally poor methods and performance. Registration: CRD42020160988. [Silva FG, Costa LOP, Hancock MJ, Palomo GA, Costa LCM, da Silva T (2022) No prognostic model for people with recent-onset low back pain has yet been demonstrated to be suitable for use in clinical practice: a systematic review. Journal of Physiotherapy 68:99-109] (c) 2022 Australian Physiotherapy Association. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). (AU)

• FAPESP's process: 18/20035-7 - Predicting pain recovery in patients with acute low back pain: a validation study of a clinical prediction model
• Grantee: Tatiane da Silva Munhoz
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 19/18187-6 - Predicting pain recovery in patients with acute low back pain: a validation study of a clinical prediction model
• Grantee: Leonardo Oliveira Pena Costa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 20/07802-9 - Risk factors and prediction of pain recovery in patients with acute low back pain in emergency care
• Grantee: Fernanda Gonçalves Silva
• Support Opportunities: Scholarships in Brazil - Doctorate