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Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model
BACKGROUND: The clinical course of acute low back pain (LBP) is generally favourable; however, there is significant variability in the prognosis of these patients. A clinical prediction model to predict the likelihood of pain recovery at three time points for patients with acute LBP has recently bee...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594364/ https://www.ncbi.nlm.nih.gov/pubmed/33115905 http://dx.doi.org/10.1136/bmjopen-2020-040785 |
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author | Silva, Fernanda Gonçalves Mota da Silva, Tatiane Palomo, Gabriele Alves Hancock, Mark Jonathan Costa, Lucíola da Cunha Menezes Costa, Leonardo Oliveira Pena |
author_facet | Silva, Fernanda Gonçalves Mota da Silva, Tatiane Palomo, Gabriele Alves Hancock, Mark Jonathan Costa, Lucíola da Cunha Menezes Costa, Leonardo Oliveira Pena |
author_sort | Silva, Fernanda Gonçalves |
collection | PubMed |
description | BACKGROUND: The clinical course of acute low back pain (LBP) is generally favourable; however, there is significant variability in the prognosis of these patients. A clinical prediction model to predict the likelihood of pain recovery at three time points for patients with acute LBP has recently been developed. The aim of this study is to conduct a broad validation test of this clinical prediction model, by testing its performance in a new sample of patients and a different setting. METHODS: The validation study with a prospective cohort design will recruit 420 patients with recent onset non-specific acute LBP, with moderate pain intensity, seeking care in the emergency departments of hospitals in São Paulo, Brazil. The primary outcome measure will be days to recovery from pain. The predicted probability of pain recovery for each individual will be computed based on predictions of the development model and this will be used to test the performance (calibration and discrimination) in the validation dataset. DISCUSSION: The findings of this study will better inform about the performance of the clinical prediction model, helping both clinicians and patients. If the model’s performance is acceptable, then future research should evaluate the impact of the prediction model, assessing whether it produces a change in clinicians’ behaviour and/or an improvement in patient outcomes. ETHICS AND DISSEMINATION: Ethics were granted by the Research Ethics Committee of the Universidade Cidade de São Paulo, #20310419.4.0000.0064. Study findings will be disseminated widely through peer-reviewed publications and conference presentations. |
format | Online Article Text |
id | pubmed-7594364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75943642020-11-10 Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model Silva, Fernanda Gonçalves Mota da Silva, Tatiane Palomo, Gabriele Alves Hancock, Mark Jonathan Costa, Lucíola da Cunha Menezes Costa, Leonardo Oliveira Pena BMJ Open Rehabilitation Medicine BACKGROUND: The clinical course of acute low back pain (LBP) is generally favourable; however, there is significant variability in the prognosis of these patients. A clinical prediction model to predict the likelihood of pain recovery at three time points for patients with acute LBP has recently been developed. The aim of this study is to conduct a broad validation test of this clinical prediction model, by testing its performance in a new sample of patients and a different setting. METHODS: The validation study with a prospective cohort design will recruit 420 patients with recent onset non-specific acute LBP, with moderate pain intensity, seeking care in the emergency departments of hospitals in São Paulo, Brazil. The primary outcome measure will be days to recovery from pain. The predicted probability of pain recovery for each individual will be computed based on predictions of the development model and this will be used to test the performance (calibration and discrimination) in the validation dataset. DISCUSSION: The findings of this study will better inform about the performance of the clinical prediction model, helping both clinicians and patients. If the model’s performance is acceptable, then future research should evaluate the impact of the prediction model, assessing whether it produces a change in clinicians’ behaviour and/or an improvement in patient outcomes. ETHICS AND DISSEMINATION: Ethics were granted by the Research Ethics Committee of the Universidade Cidade de São Paulo, #20310419.4.0000.0064. Study findings will be disseminated widely through peer-reviewed publications and conference presentations. BMJ Publishing Group 2020-10-28 /pmc/articles/PMC7594364/ /pubmed/33115905 http://dx.doi.org/10.1136/bmjopen-2020-040785 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Rehabilitation Medicine Silva, Fernanda Gonçalves Mota da Silva, Tatiane Palomo, Gabriele Alves Hancock, Mark Jonathan Costa, Lucíola da Cunha Menezes Costa, Leonardo Oliveira Pena Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title | Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title_full | Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title_fullStr | Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title_full_unstemmed | Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title_short | Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
title_sort | predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model |
topic | Rehabilitation Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594364/ https://www.ncbi.nlm.nih.gov/pubmed/33115905 http://dx.doi.org/10.1136/bmjopen-2020-040785 |
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