scholarly journals Is Lutikizumab, an Anti–Interleukin-1α/β Dual Variable Domain Immunoglobulin, efficacious for Osteoarthritis? Results from a bayesian network meta-analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ziqin Cao ◽  
Yajia Li ◽  
Wanchun Wang ◽  
Shuo Jie ◽  
Xuantao Hu ◽  
...  

Objective. Most guidelines recommend the use of nonsteroidal anti-inflammatory drugs (NSAIDs), duloxetine, and tramadol for the nonoperative treatment of osteoarthritis (OA), but the use of them is limited by the tolerability and safety concerns. Lutikizumab is a novel anti–IL-1α/β dual variable domain immunoglobulin that can simultaneously bind and inhibit IL-1α and IL-1β to relieve the pain and dysfunction symptoms. We conducted this network meta-analysis to comprehensively compare the clinical efficacy and safety of lutikizumab with other drugs recommended by guidelines. Methods. We conducted a Bayesian network and conventional meta-analyses to compare the efficacy and safety of lutikizumab with other traditional drugs. All eligible randomized clinical trials, in PubMed, CNKI, EMBASE, and Web of Science databases, from January 2000 to January 2020, were included. The Cochrane risk of the bias assessment tool was used for quality assessment. Pain relief, function improvement, and risk of adverse effects (AEs) were compared in this study. Results. 24 articles with 11858 patients were included. Duloxetine (DUL) had the largest effect for pain relief (4.76, 95% CI [2.35 to 7.17]), and selective cox-2 inhibitors (SCI) were the most efficacious treatment for physical function improvement (SMD 3.94, 95% CI [2.48 to 5.40]). Lutikizumab showed no benefit compared with placebo for both pain relief (SMD 1.11, 95% CI [-2.29 to 4.52]) and function improvement (SMD 0.992, 95% CI [-0.433 to 4.25]). Lutikizumab and all other drugs are of favorable tolerance for patients in the treatment of OA compared with placebo. Conclusions. Lutikizumab, the new anti–Interleukin-1α/β dual variable domain immunoglobulin, showed no improvement in pain or function when compared with placebo. Selective cox-2 inhibitors and duloxetine remain the most effective and safest treatment for OA. More high-quality trials are still needed to reconfirm the findings of this study.

2020 ◽  
Author(s):  
Ziqin Cao ◽  
Xutao Hu ◽  
Jian Zhou ◽  
Tong Wu ◽  
Dilihumaer Aili ◽  
...  

Abstract OBJECTIVEOsteoarthritis (OA) is the most common form of joint disease which usually affects load-bearing joints such as hip and knee joints. Most guidelines recommend the use non-steroidal anti-inflammatory drugs (NSAIDs), duloxetine and tramadol for the non-operative treatment of OA, the use of them is limited by the tolerability and safety concerns. Lutikizumab is a novel anti–IL-1α/β dual variable domain immunoglobulin that can simultaneously binds and inhibits IL-1α and IL-1β to relieve the pain and dysfunction symptoms. We conducted this network meta-analysis to comprehensively compare the clinical efficacy and safety of lutikizumab with other drugs recommended by guidelines.DESIGNSystematic review and Bayesian network meta-analysis.DATA SOURCESAll eligible studies in PubMed, CKNI, EMBASE and Web of Science databases, from January 2000 to January 2020.METHODSBayesian network and conventional meta-analyses were conducted. Pain relief, function improvement and risk of adverse effects (AEs) were assessed.RESULTS24 articles with 11858 patients were included. Lutikizumab showed no benifit compared with placebo for both pain relief (SMD 1.11, 95% CI [-2.29 to 4.52]) and function improvement (SMD 0.992, 95% CI [-0.433 to 4.25]). Lutikizumab and all other drugs are of favorable tolerance for patients in treatment of OA compared with placebo.CONCLUSIONSThe results show that lutikizumab, the new anti–Interleukin-1α/β dual variable domain immunoglobulin, did not improve pain or function in the comparison with placebo. Selective cox-2 inhibitors remain the most effective and safest treatment for osteoarthritis. More high-quality trials are still needed to reconfirm the findings of this study.


BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035346
Author(s):  
Yuchen He ◽  
Hongyi He ◽  
Dong-Xing Xie ◽  
Xiaoxiao Li ◽  
Yilun Wang

IntroductionMost of the patients who received arthroscopic knee surgery will suffer moderate to severe pain, which can delay the rehabilitation process and increase the risk of postoperative complications. Therefore, seeking a safe and effective postoperative analgesia is necessary for promoting the application of arthroscopic surgery. This protocol aims to detail a planned systematic review and meta-analysis on the comparative efficacy and safety of single-dose intra-articular injection of analgesics for pain relief after knee arthroscopy.Method and analysisPubMed, Embase, Web of Science and Cochrane Library will be searched from inception to 1 June 2020 to retrieve randomised controlled trials (RCTs) that compared the commonly used single-dose intra-articular analgesics (ie, morphine; bupivacaine (including levobupivacaine); ropivacaine and magnesium alone or in combination) with placebo or between each other for postoperative pain relief among patients who had received knee arthroscopy. The primary outcome is pain intensity at 2-hour and 24-hour postoperatively; the secondary outcomes include side effects (eg, knee effusion, nausea, vomiting and flushing), the number of patients requiring supplementary analgesia and the time to first analgesic request. The methodological quality of the included RCTs will be assessed based on the Cochrane risk of bias table. The Bayesian network meta-analysis will be conducted using WinBUGS V.1.4.3.Ethics and disseminationSince no private or confidential patient data will be contained in the reporting, approval from an ethics committee is not required. Our study raises no ethical issue, and the results will be published in a peer-reviewed journal.PROSPERO registration numberCRD42019130876.


2019 ◽  
Vol 24 (1) ◽  
pp. 79-96 ◽  
Author(s):  
Albert González-Barnadas ◽  
Octavi Camps-Font ◽  
Pablo Martín-Fatás ◽  
Rui Figueiredo ◽  
Cosme Gay-Escoda ◽  
...  

2018 ◽  
Vol Volume 11 ◽  
pp. 721-730 ◽  
Author(s):  
Ping Dai ◽  
Jing Li ◽  
Xiao-Ping Ma ◽  
Jian Huang ◽  
Juan-Juan Meng ◽  
...  

Andrologia ◽  
2020 ◽  
Vol 52 (11) ◽  
Author(s):  
Hanchao Liu ◽  
Mingxiao Zhang ◽  
Mingchuan Huang ◽  
Hongcai Cai ◽  
Yadong Zhang ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022142
Author(s):  
Jun Wang ◽  
Yin Wang ◽  
Hui Zhang ◽  
Ming Lu ◽  
Weilu Gao ◽  
...  

IntroductionOsteoarthritis is a common degenerative joint disease that eventually leads to disability and poor quality of life. The main symptoms are joint pain and mobility disorders. If the patient has severe pain or other analgesics are contraindicated, opioids may be a viable treatment option. To evaluate and compare the efficacy and safety of opioids in the treatment of knee or hip osteoarthritis, we will integrate direct and indirect evidence using a Bayesian network meta-analysis to establish hierarchies of these drugs.Methods and analysisWe will search the Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and PsycINFO databases as well as published and unpublished research in international registries and regulatory agency websites for osteoarthritis reports published prior to 5 January 2018. There will be no restrictions on the language. Randomised clinical trials that compare oral or transdermal opioids with other various opioids, placebo or no treatment for patients with knee or hip osteoarthritis will be included. The primary outcomes of efficacy will be pain and function. We will use pain and function scales to evaluate the main outcomes. The secondary outcomes of safety will be defined as the proportion of patients who have stopped treatment due to side effects. Pairwise meta-analyses and Bayesian network meta-analyses will be performed for all related outcome measures. We will conduct subgroup analyses and sensitivity analyses to assess the robustness of our findings. The Grading of Recommendations, Assessment, Development and Evaluations framework will be used to assess the quality of the evidence contributing to each network assessment.Ethics and disseminationThis study does not require formal ethical approval because individual patient data will not be included. The findings will be disseminated through peer-reviewed publications or conference presentations.PROSPERO registration numberCRD42018085503.


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