Literature DB >> 28355979

Longitudinal Monitoring of Patients With Chronic Low Back Pain During Physical Therapy Treatment Using the STarT Back Screening Tool.

Flávia Cordeiro Medeiros, Leonardo Oliveira Pena Costa, Marco Aurélio Nemitalla Added, Evelyn Cassia Salomão, Lucíola da Cunha Menezes Costa.   

Abstract

Study Design Preplanned secondary analysis of a randomized clinical trial. Background The STarT Back Screening Tool (SBST) was developed to screen and to classify patients with low back pain into subgroups for the risk of having a poor prognosis. However, this classification at baseline does not take into account variables that can influence the prognosis during treatment or over time. Objectives (1) To investigate the changes in risk subgroup measured by the SBST over a period of 6 months, and (2) to assess the long-term predictive ability of the SBST when administered at different time points. Methods Patients with chronic nonspecific low back pain (n = 148) receiving physical therapy care as part of a randomized trial were analyzed. Pain intensity, disability, global perceived effect, and the SBST were collected at baseline, 5 weeks, 3 months, and 6 months. Changes in SBST risk classification were calculated. Hierarchical linear regression models adjusted for potential confounders were built to analyze the predictive capabilities of the SBST when administered at different time points. Results A large proportion of patients (60.8%) changed their risk subgroup after receiving physical therapy care. The SBST improved the prediction for all 6-month outcomes when using the 5-week risk subgroup and the difference between baseline and 5-week subgroup, after controlling for potential confounders. The SBST at baseline did not improve the predictive ability of the models after adjusting for confounders. Conclusion This study shows that many patients change SBST risk subgroup after receiving physical therapy care, and that the predictive ability of the SBST in patients with chronic low back pain increases when administered at different time points. Level of Evidence Prognosis, 2b. J Orthop Sports Phys Ther 2017;47(5):314-323. Epub 29 Mar 2017. doi:10.2519/jospt.2017.7199.

Entities:  

Keywords:  STarT Back Screening Tool; assessment; low back pain; prognosis

Mesh:

Year:  2017        PMID: 28355979     DOI: 10.2519/jospt.2017.7199

Source DB:  PubMed          Journal:  J Orthop Sports Phys Ther        ISSN: 0190-6011            Impact factor:   4.751


  9 in total

Review 1.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

2.  The use of STarT BACK Screening Tool in emergency departments for patients with acute low back pain: a prospective inception cohort study.

Authors:  Flávia Cordeiro Medeiros; Leonardo Oliveira Pena Costa; Indiara Soares Oliveira; Renan Kendy Oshima; Lucíola Cunha Menezes Costa
Journal:  Eur Spine J       Date:  2018-04-18       Impact factor: 3.134

3.  Prediction of Persistent Musculoskeletal Pain at 12 Months: A Secondary Analysis of the Optimal Screening for Prediction of Referral and Outcome (OSPRO) Validation Cohort Study.

Authors:  Jason M Beneciuk; Trevor A Lentz; Ying He; Samuel S Wu; Steven Z George
Journal:  Phys Ther       Date:  2018-05-01

Review 4.  Tackling low back pain in Brazil: a wake-up call.

Authors:  Giovanni Ferreira; Luciola Menezes Costa; Airton Stein; Jan Hartvigsen; Rachelle Buchbinder; Chris G Maher
Journal:  Braz J Phys Ther       Date:  2018-10-13       Impact factor: 3.377

5.  Use of the STarT Back Screening Tool in patients with chronic low back pain receiving physical therapy interventions.

Authors:  Flávia Cordeiro Medeiros; Evelyn Cassia Salomão; Leonardo Oliveira Pena Costa; Diego Galace de Freitas; Thiago Yukio Fukuda; Renan Lima Monteiro; Marco Aurélio Nemitalla Added; Alessandra Narciso Garcia; Lucíola da Cunha Menezes Costa
Journal:  Braz J Phys Ther       Date:  2020-07-29       Impact factor: 3.377

Review 6.  Advancing practice for back pain through stratified care (STarT Back).

Authors:  Gail Sowden; Jonathan Charles Hill; Lars Morso; Quninette Louw; Nadine Elizabeth Foster
Journal:  Braz J Phys Ther       Date:  2018-06-22       Impact factor: 3.377

Review 7.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

8.  Effect of low back pain on clinical-functional factors and its associated potential risk of chronicity in adolescent dancers of classical ballet: cross-sectional study.

Authors:  Brenda Luciano de Souza; Patricia Colombo de Souza; Ana Paula Ribeiro
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-05-02

9.  Effects of photobiomodulation therapy in patients with chronic non-specific low back pain: protocol for a randomised placebo-controlled trial.

Authors:  Shaiane Silva Tomazoni; Lucíola da Cunha Menezes Costa; Layana de Souza Guimarães; Amanda Costa Araujo; Dafne Port Nascimento; Flávia Cordeiro de Medeiros; Marina Athayde Avanzi; Leonardo Oliveira Pena Costa
Journal:  BMJ Open       Date:  2017-10-24       Impact factor: 2.692

  9 in total

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