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Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach

INTRODUCTION: Chronic low back pain (cLBP) is highly prevalent in the United States and globally, resulting in functional impairment and lowered quality of life. While many treatments are available for cLBP, clinicians have little information about which specific treatment(s) will work best for indi...

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Autores principales: Mauck, Matthew C., Aylward, Aileen F., Barton, Chloe E., Birckhead, Brandon, Carey, Timothy, Dalton, Diane M., Fields, Aaron J., Fritz, Julie, Hassett, Afton L., Hoffmeyer, Anna, Jones, Sara B., McLean, Samuel A., Mehling, Wolf E., O'Neill, Conor W., Schneider, Michael J., Williams, David A., Zheng, Patricia, Wasan, Ajay D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529058/
https://www.ncbi.nlm.nih.gov/pubmed/36203645
http://dx.doi.org/10.1097/PR9.0000000000001019
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author Mauck, Matthew C.
Aylward, Aileen F.
Barton, Chloe E.
Birckhead, Brandon
Carey, Timothy
Dalton, Diane M.
Fields, Aaron J.
Fritz, Julie
Hassett, Afton L.
Hoffmeyer, Anna
Jones, Sara B.
McLean, Samuel A.
Mehling, Wolf E.
O'Neill, Conor W.
Schneider, Michael J.
Williams, David A.
Zheng, Patricia
Wasan, Ajay D.
author_facet Mauck, Matthew C.
Aylward, Aileen F.
Barton, Chloe E.
Birckhead, Brandon
Carey, Timothy
Dalton, Diane M.
Fields, Aaron J.
Fritz, Julie
Hassett, Afton L.
Hoffmeyer, Anna
Jones, Sara B.
McLean, Samuel A.
Mehling, Wolf E.
O'Neill, Conor W.
Schneider, Michael J.
Williams, David A.
Zheng, Patricia
Wasan, Ajay D.
author_sort Mauck, Matthew C.
collection PubMed
description INTRODUCTION: Chronic low back pain (cLBP) is highly prevalent in the United States and globally, resulting in functional impairment and lowered quality of life. While many treatments are available for cLBP, clinicians have little information about which specific treatment(s) will work best for individual patients or subgroups of patients. The Back Pain Research Consortium, part of the National Institutes of Health Helping to End Addiction Long-term(SM) (HEAL) Initiative, will conduct a collaborative clinical trial, which seeks to develop a personalized medicine algorithm to optimize patient and provider treatment selection for patients with cLBP. OBJECTIVE: The primary objective of this article is to provide an update on evidence-based cLBP interventions and describe the process of reviewing and selecting interventions for inclusion in the clinical trial. METHODS: A working group of cLBP experts reviewed and selected interventions for inclusion in the clinical trial. The primary evaluation measures were strength of evidence and magnitude of treatment effect. When available in the literature, duration of effect, onset time, carryover effect, multimodal efficacy, responder subgroups, and evidence for the mechanism of treatment effect or biomarkers were considered. CONCLUSION: The working group selected 4 leading, evidence-based treatments for cLBP to be tested in the clinical trial and for use in routine clinical treatment. These treatments include (1) duloxetine, (2) acceptance and commitment therapy, (3) a classification-based exercise and manual therapy intervention, and (4) a self-management approach. These interventions each had a moderate to high level of evidence to support a therapeutic effect and were from different therapeutic classes.
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spelling pubmed-95290582022-10-05 Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach Mauck, Matthew C. Aylward, Aileen F. Barton, Chloe E. Birckhead, Brandon Carey, Timothy Dalton, Diane M. Fields, Aaron J. Fritz, Julie Hassett, Afton L. Hoffmeyer, Anna Jones, Sara B. McLean, Samuel A. Mehling, Wolf E. O'Neill, Conor W. Schneider, Michael J. Williams, David A. Zheng, Patricia Wasan, Ajay D. Pain Rep Clinical Updates INTRODUCTION: Chronic low back pain (cLBP) is highly prevalent in the United States and globally, resulting in functional impairment and lowered quality of life. While many treatments are available for cLBP, clinicians have little information about which specific treatment(s) will work best for individual patients or subgroups of patients. The Back Pain Research Consortium, part of the National Institutes of Health Helping to End Addiction Long-term(SM) (HEAL) Initiative, will conduct a collaborative clinical trial, which seeks to develop a personalized medicine algorithm to optimize patient and provider treatment selection for patients with cLBP. OBJECTIVE: The primary objective of this article is to provide an update on evidence-based cLBP interventions and describe the process of reviewing and selecting interventions for inclusion in the clinical trial. METHODS: A working group of cLBP experts reviewed and selected interventions for inclusion in the clinical trial. The primary evaluation measures were strength of evidence and magnitude of treatment effect. When available in the literature, duration of effect, onset time, carryover effect, multimodal efficacy, responder subgroups, and evidence for the mechanism of treatment effect or biomarkers were considered. CONCLUSION: The working group selected 4 leading, evidence-based treatments for cLBP to be tested in the clinical trial and for use in routine clinical treatment. These treatments include (1) duloxetine, (2) acceptance and commitment therapy, (3) a classification-based exercise and manual therapy intervention, and (4) a self-management approach. These interventions each had a moderate to high level of evidence to support a therapeutic effect and were from different therapeutic classes. Wolters Kluwer 2022-09-30 /pmc/articles/PMC9529058/ /pubmed/36203645 http://dx.doi.org/10.1097/PR9.0000000000001019 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Clinical Updates
Mauck, Matthew C.
Aylward, Aileen F.
Barton, Chloe E.
Birckhead, Brandon
Carey, Timothy
Dalton, Diane M.
Fields, Aaron J.
Fritz, Julie
Hassett, Afton L.
Hoffmeyer, Anna
Jones, Sara B.
McLean, Samuel A.
Mehling, Wolf E.
O'Neill, Conor W.
Schneider, Michael J.
Williams, David A.
Zheng, Patricia
Wasan, Ajay D.
Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title_full Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title_fullStr Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title_full_unstemmed Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title_short Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
title_sort evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach
topic Clinical Updates
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529058/
https://www.ncbi.nlm.nih.gov/pubmed/36203645
http://dx.doi.org/10.1097/PR9.0000000000001019
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