Fusion proteins of biologic agents in the treatment of rheumatoid arthritis (RA): A network meta-analysis. Issue 24 (18th June 2021)
- Record Type:
- Journal Article
- Title:
- Fusion proteins of biologic agents in the treatment of rheumatoid arthritis (RA): A network meta-analysis. Issue 24 (18th June 2021)
- Main Title:
- Fusion proteins of biologic agents in the treatment of rheumatoid arthritis (RA)
- Authors:
- Wu, Mingcai
Tao, Mengjun
Wang, Quanhai
Lu, Xiaohua
Yuan, Hui - Other Names:
- Tarantino. Giovanni section editor.
- Abstract:
- Abstract: Background: To evaluate the efficacy of fusion proteins biologics (Etanercept (ETN), Anakinra (ANA), and Abatacept) combinations in the treatment of rheumatoid arthritis (RA) using network meta-analysis to rank those according to their performance medicines. The performance of these processes is ranked according to the results of the analysis and an explanatory study of the possible results is carried out. Methods: Multiple databases including PubMed, EMBASE, and Cochrane Library were used to identify applicable articles and collect relevant data to analyze using STATA (14.0) software. The literature included in this study was divided into a combination of a placebo, methotrexate (MTX), and an observation group (1 of the 3 drugs). The last search date was December 12, 2019. Results: A total of 19 eligible randomized controlled trials of fusion proteins biologics were identified, a total of 1109 papers were included, and the results showed that the ETN + MTX had the highest probability of being the most clinically efficacious intervention, with a surface under the cumulative ranking curve of 91.6, was significantly superior ( P < .05). Patients who had received ETN or ETN + MTX or ANA had effective compared with patients who had received placebo (95% CI 1.28%–8.47%; 1.92%–19.18%; 1.06%–10.45%). Conclusions: 1. The combination of ETN and MTX had the highest probability of optimal treatment compared to other drugs and 2. ENT, ENT + MTX, and ANA were effective in theAbstract: Background: To evaluate the efficacy of fusion proteins biologics (Etanercept (ETN), Anakinra (ANA), and Abatacept) combinations in the treatment of rheumatoid arthritis (RA) using network meta-analysis to rank those according to their performance medicines. The performance of these processes is ranked according to the results of the analysis and an explanatory study of the possible results is carried out. Methods: Multiple databases including PubMed, EMBASE, and Cochrane Library were used to identify applicable articles and collect relevant data to analyze using STATA (14.0) software. The literature included in this study was divided into a combination of a placebo, methotrexate (MTX), and an observation group (1 of the 3 drugs). The last search date was December 12, 2019. Results: A total of 19 eligible randomized controlled trials of fusion proteins biologics were identified, a total of 1109 papers were included, and the results showed that the ETN + MTX had the highest probability of being the most clinically efficacious intervention, with a surface under the cumulative ranking curve of 91.6, was significantly superior ( P < .05). Patients who had received ETN or ETN + MTX or ANA had effective compared with patients who had received placebo (95% CI 1.28%–8.47%; 1.92%–19.18%; 1.06%–10.45%). Conclusions: 1. The combination of ETN and MTX had the highest probability of optimal treatment compared to other drugs and 2. ENT, ENT + MTX, and ANA were effective in the treatment of RA compared to placebo. … (more)
- Is Part Of:
- Medicine. Volume 100:Issue 24(2021)
- Journal:
- Medicine
- Issue:
- Volume 100:Issue 24(2021)
- Issue Display:
- Volume 100, Issue 24 (2021)
- Year:
- 2021
- Volume:
- 100
- Issue:
- 24
- Issue Sort Value:
- 2021-0100-0024-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06-18
- Subjects:
- abatacept -- anakinra -- biologic agents -- etanercept -- meta-analysis -- rheumatoid arthritis
Medicine -- Periodicals
Medicine -- Periodicals
Médecine -- Périodiques
Geneeskunde
Medicine
Periodicals
Periodicals
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http://journals.lww.com ↗ - DOI:
- 10.1097/MD.0000000000026350 ↗
- Languages:
- English
- ISSNs:
- 0025-7974
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