Kristian Kjær-Staal Petersen, Kübra Kilic, Emma Hertel, Trine Hyttel Sejersgaard-Jacobsen, Marlene Kanstrup Jørgensen, Anders Troelsen, Lars Arendt-Nielsen, Dennis Boye Larsen
{"title":"定量感觉测试作为评估工具来预测膝关节骨关节炎患者对标准疼痛治疗的反应:一项系统回顾和荟萃分析","authors":"Kristian Kjær-Staal Petersen, Kübra Kilic, Emma Hertel, Trine Hyttel Sejersgaard-Jacobsen, Marlene Kanstrup Jørgensen, Anders Troelsen, Lars Arendt-Nielsen, Dennis Boye Larsen","doi":"10.1097/PR9.0000000000001079","DOIUrl":null,"url":null,"abstract":"<p><p>Emerging evidence suggest that quantitative sensory testing (QST) may predict the treatment response to pain-relieving therapies. This systematic review and meta-analysis focus on the predictive value of QST for pain management of knee osteoarthritis (OA). MEDLINE and EMBASE were systematically searched for all studies from year 2000 to 2023 on pretreatment QST and treatment of OA including surgical, pharmaceutical, and nonsurgical and nonpharmaceutical therapies. Preclinical studies and reviews were excluded. The systematic review followed the PRISMA guidelines and was pre-registered on the Open Science Framework website (link: https://osf.io/4FETK/, Identifier: DOI 10.17605/OSF.IO/4FETK). Meta-analysis were conducted to demonstrate the strength of the pre-treatment QST predictions on pain outcomes after OA treatments. Sixteen surgical (all on total knee arthroplasty [TKA], N = 1967), 5 pharmaceutical (4 on non-steroidal anti-inflammatory drugs [NSAIDs], N = 271), and 4 exercise-based therapy studies (N = 232) were identified. Pretreatment QST parameters predicted pain-relieving treatment outcomes in 81% of surgical, 100% of pharmaceutical, and 50% of exercise-based therapy studies. Meta-analyses found pretreatment QST profiles to predicted pain outcomes after TKA (random effects: 0.309, 95% confidence interval [CI]: 0.206-0.405, <i>P</i> < 0.001), NSAIDs (random effects: 0.323, 95% CI: 0.194-0.441, <i>P</i> < 0.001), and exercise-based therapies (random effects: 0.417, 95% CI: 0.138-0.635, <i>P</i> = 0.004). The overall risk of bias for the included studies was low to moderate. This systematic review and meta-analysis demonstrate weak-to-moderate associations between pretreatment QST and pain outcomes after standard OA pain treatments. Based on this work, it is hypothesized that a subset of specific pain sensitive patients with OA exist and that these patients do not respond adequately to standard OA pain treatments.</p>","PeriodicalId":52189,"journal":{"name":"Pain Reports","volume":"1 1","pages":"e1079"},"PeriodicalIF":3.4000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11065125/pdf/","citationCount":"0","resultStr":"{\"title\":\"Quantitative sensory testing as an assessment tool to predict the response to standard pain treatment in knee osteoarthritis: a systematic review and meta-analysis.\",\"authors\":\"Kristian Kjær-Staal Petersen, Kübra Kilic, Emma Hertel, Trine Hyttel Sejersgaard-Jacobsen, Marlene Kanstrup Jørgensen, Anders Troelsen, Lars Arendt-Nielsen, Dennis Boye Larsen\",\"doi\":\"10.1097/PR9.0000000000001079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Emerging evidence suggest that quantitative sensory testing (QST) may predict the treatment response to pain-relieving therapies. 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Pretreatment QST parameters predicted pain-relieving treatment outcomes in 81% of surgical, 100% of pharmaceutical, and 50% of exercise-based therapy studies. Meta-analyses found pretreatment QST profiles to predicted pain outcomes after TKA (random effects: 0.309, 95% confidence interval [CI]: 0.206-0.405, <i>P</i> < 0.001), NSAIDs (random effects: 0.323, 95% CI: 0.194-0.441, <i>P</i> < 0.001), and exercise-based therapies (random effects: 0.417, 95% CI: 0.138-0.635, <i>P</i> = 0.004). The overall risk of bias for the included studies was low to moderate. This systematic review and meta-analysis demonstrate weak-to-moderate associations between pretreatment QST and pain outcomes after standard OA pain treatments. 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引用次数: 0
摘要
新出现的证据表明,定量感觉测试(QST)可预测疼痛缓解疗法的治疗反应。本系统综述和荟萃分析的重点是定量感觉测试对膝关节骨性关节炎(OA)疼痛治疗的预测价值。系统检索了 MEDLINE 和 EMBASE 从 2000 年到 2023 年关于治疗前 QST 和 OA 治疗(包括手术、药物、非手术和非药物疗法)的所有研究。临床前研究和综述除外。该系统性综述遵循了 PRISMA 指南,并在开放科学框架网站上进行了预注册(链接:https://osf.io/4FETK/,标识符:DOI 10.17605/OSF.IO/4FETK)。为了证明治疗前 QST 对 OA 治疗后疼痛结果的预测强度,我们进行了 Meta 分析。共确定了16项手术研究(均为全膝关节置换术[TKA],N = 1967)、5项药物研究(4项为非甾体抗炎药[NSAIDs],N = 271)和4项运动疗法研究(N = 232)。在81%的手术研究、100%的药物研究和50%的运动疗法研究中,治疗前的QST参数可预测疼痛缓解治疗结果。元分析发现,治疗前 QST 参数可预测 TKA(随机效应:0.309,95% 置信区间 [CI]:0.206-0.405,P <0.001)、非甾体抗炎药(随机效应:0.323,95% 置信区间:0.194-0.441,P <0.001)和运动疗法(随机效应:0.417,95% 置信区间:0.138-0.635,P = 0.004)后的疼痛结果。纳入研究的总体偏倚风险为低至中度。该系统综述和荟萃分析表明,治疗前的 QST 与标准 OA 疼痛治疗后的疼痛结果之间存在微弱至中等程度的关联。在此基础上,我们假设存在一部分对疼痛敏感的特殊 OA 患者,这些患者对标准 OA 疼痛治疗的反应并不充分。
Quantitative sensory testing as an assessment tool to predict the response to standard pain treatment in knee osteoarthritis: a systematic review and meta-analysis.
Emerging evidence suggest that quantitative sensory testing (QST) may predict the treatment response to pain-relieving therapies. This systematic review and meta-analysis focus on the predictive value of QST for pain management of knee osteoarthritis (OA). MEDLINE and EMBASE were systematically searched for all studies from year 2000 to 2023 on pretreatment QST and treatment of OA including surgical, pharmaceutical, and nonsurgical and nonpharmaceutical therapies. Preclinical studies and reviews were excluded. The systematic review followed the PRISMA guidelines and was pre-registered on the Open Science Framework website (link: https://osf.io/4FETK/, Identifier: DOI 10.17605/OSF.IO/4FETK). Meta-analysis were conducted to demonstrate the strength of the pre-treatment QST predictions on pain outcomes after OA treatments. Sixteen surgical (all on total knee arthroplasty [TKA], N = 1967), 5 pharmaceutical (4 on non-steroidal anti-inflammatory drugs [NSAIDs], N = 271), and 4 exercise-based therapy studies (N = 232) were identified. Pretreatment QST parameters predicted pain-relieving treatment outcomes in 81% of surgical, 100% of pharmaceutical, and 50% of exercise-based therapy studies. Meta-analyses found pretreatment QST profiles to predicted pain outcomes after TKA (random effects: 0.309, 95% confidence interval [CI]: 0.206-0.405, P < 0.001), NSAIDs (random effects: 0.323, 95% CI: 0.194-0.441, P < 0.001), and exercise-based therapies (random effects: 0.417, 95% CI: 0.138-0.635, P = 0.004). The overall risk of bias for the included studies was low to moderate. This systematic review and meta-analysis demonstrate weak-to-moderate associations between pretreatment QST and pain outcomes after standard OA pain treatments. Based on this work, it is hypothesized that a subset of specific pain sensitive patients with OA exist and that these patients do not respond adequately to standard OA pain treatments.