Cargando…
Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis
BACKGROUND: The management of osteoarthritis (OA) is unsatisfactory, as most treatments are not clinically effective over placebo and most drugs have considerable side effects. On average, 75 % of the analgesic effect from OA treatments in clinical trials can be attributed to a placebo response, and...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084436/ https://www.ncbi.nlm.nih.gov/pubmed/27793184 http://dx.doi.org/10.1186/s13643-016-0362-x |
_version_ | 1782463383300210688 |
---|---|
author | Fu, Yu Persson, Monica S. M. Bhattacharya, Archan Goh, Siew-Li Stocks, Joanne van Middelkoop, Marienke Bierma-Zeinstra, Sita M. A. Walsh, David Doherty, Michael Zhang, Weiya |
author_facet | Fu, Yu Persson, Monica S. M. Bhattacharya, Archan Goh, Siew-Li Stocks, Joanne van Middelkoop, Marienke Bierma-Zeinstra, Sita M. A. Walsh, David Doherty, Michael Zhang, Weiya |
author_sort | Fu, Yu |
collection | PubMed |
description | BACKGROUND: The management of osteoarthritis (OA) is unsatisfactory, as most treatments are not clinically effective over placebo and most drugs have considerable side effects. On average, 75 % of the analgesic effect from OA treatments in clinical trials can be attributed to a placebo response, and this response varies greatly from patient to patient. This individual patient data (IPD) meta-analysis aims to identify placebo responders and the potential determinants of the placebo response in OA. METHODS: This study is undertaken in conjunction with the OA Trial Bank, an ongoing international consortium aiming to collect IPD from randomised controlled trials (RCTs) for all treatments of OA. RCTs for each treatment of OA have been systematically searched for, and authors of the relevant trials have been contacted to request the IPD. We will use the IPD of placebo-controlled RCTs held by the OA Trial Bank for this project. The IPD in placebo groups will be used to investigate the placebo response according to the minimum clinically important difference (MCID) threshold (e.g. 20 % pain reduction). Responders to placebo will be compared with non-responders to identify predictors of response. The quality of the trials will be assessed and potential determinants will be examined using multilevel logistic regression analyses. DISCUSSION: This study explores the varying magnitude of the placebo response and the proportion of participants that experience a clinically important placebo effect in OA RCTs. Potential determinants of the placebo response will also be investigated. These determinants may be useful for future studies as it may allow participants to be stratified into groups based on their likely response to placebo. The results of this study may also be useful for pharmaceutical companies, who could improve the design of their studies in order to separate the specific treatment from the non-specific contextual (i.e. placebo) effects. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016033212 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0362-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5084436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50844362016-10-31 Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis Fu, Yu Persson, Monica S. M. Bhattacharya, Archan Goh, Siew-Li Stocks, Joanne van Middelkoop, Marienke Bierma-Zeinstra, Sita M. A. Walsh, David Doherty, Michael Zhang, Weiya Syst Rev Protocol BACKGROUND: The management of osteoarthritis (OA) is unsatisfactory, as most treatments are not clinically effective over placebo and most drugs have considerable side effects. On average, 75 % of the analgesic effect from OA treatments in clinical trials can be attributed to a placebo response, and this response varies greatly from patient to patient. This individual patient data (IPD) meta-analysis aims to identify placebo responders and the potential determinants of the placebo response in OA. METHODS: This study is undertaken in conjunction with the OA Trial Bank, an ongoing international consortium aiming to collect IPD from randomised controlled trials (RCTs) for all treatments of OA. RCTs for each treatment of OA have been systematically searched for, and authors of the relevant trials have been contacted to request the IPD. We will use the IPD of placebo-controlled RCTs held by the OA Trial Bank for this project. The IPD in placebo groups will be used to investigate the placebo response according to the minimum clinically important difference (MCID) threshold (e.g. 20 % pain reduction). Responders to placebo will be compared with non-responders to identify predictors of response. The quality of the trials will be assessed and potential determinants will be examined using multilevel logistic regression analyses. DISCUSSION: This study explores the varying magnitude of the placebo response and the proportion of participants that experience a clinically important placebo effect in OA RCTs. Potential determinants of the placebo response will also be investigated. These determinants may be useful for future studies as it may allow participants to be stratified into groups based on their likely response to placebo. The results of this study may also be useful for pharmaceutical companies, who could improve the design of their studies in order to separate the specific treatment from the non-specific contextual (i.e. placebo) effects. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016033212 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0362-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-28 /pmc/articles/PMC5084436/ /pubmed/27793184 http://dx.doi.org/10.1186/s13643-016-0362-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Fu, Yu Persson, Monica S. M. Bhattacharya, Archan Goh, Siew-Li Stocks, Joanne van Middelkoop, Marienke Bierma-Zeinstra, Sita M. A. Walsh, David Doherty, Michael Zhang, Weiya Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title | Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title_full | Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title_fullStr | Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title_full_unstemmed | Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title_short | Identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
title_sort | identifying placebo responders and predictors of response in osteoarthritis: a protocol for individual patient data meta-analysis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084436/ https://www.ncbi.nlm.nih.gov/pubmed/27793184 http://dx.doi.org/10.1186/s13643-016-0362-x |
work_keys_str_mv | AT fuyu identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT perssonmonicasm identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT bhattacharyaarchan identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT gohsiewli identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT stocksjoanne identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT vanmiddelkoopmarienke identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT biermazeinstrasitama identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT walshdavid identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT dohertymichael identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis AT zhangweiya identifyingplaceborespondersandpredictorsofresponseinosteoarthritisaprotocolforindividualpatientdatametaanalysis |