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A protocol for systematic review and meta-analysis of optimizing treatment for malaria

BACKGROUND: Malaria remains a global health threat for centuries. In recent years, a rising resistance of Plasmodium falciparum to current standard artemisinin-based combination therapies (ACTs) leads to increasing treatment failures and requires for optimized treatment. Here, we intend to make a sy...

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Autores principales: Zhang, Renyan, Dong, Xing, Wang, Junyao, Guo, Ying, Dai, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478701/
https://www.ncbi.nlm.nih.gov/pubmed/32899064
http://dx.doi.org/10.1097/MD.0000000000022044
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author Zhang, Renyan
Dong, Xing
Wang, Junyao
Guo, Ying
Dai, Yong
author_facet Zhang, Renyan
Dong, Xing
Wang, Junyao
Guo, Ying
Dai, Yong
author_sort Zhang, Renyan
collection PubMed
description BACKGROUND: Malaria remains a global health threat for centuries. In recent years, a rising resistance of Plasmodium falciparum to current standard artemisinin-based combination therapies (ACTs) leads to increasing treatment failures and requires for optimized treatment. Here, we intend to make a systematic review and meta-analysis of optimizing treatment for malaria, so as to find a potential optimal treatment. METHODS: We will search electronic databases: the Cochrane Infectious Diseases Group (CIDG) Specialized Register, the Cochrane Central Register of Controlled Trials (CEN-TRAL), PubMed, Embase, Web of Science from their inception to 1 July, 2020. We will also search International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov, and contact with authors when necessary. Two authors will independently collect and select data, and the statistical analyses will be conducted by Revman V.5.3 software. RESULTS: We will evaluate efficacy and safety of modified ACTs for uncomplicate malaria, comparing with standard ACTs in all eligible clinical studies. CONCLUSION: In this study, we will offer clinical evidence for optimizing treatment for malaria. REGISTRATION NUMBER: INPLASY202070115
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spelling pubmed-74787012020-09-24 A protocol for systematic review and meta-analysis of optimizing treatment for malaria Zhang, Renyan Dong, Xing Wang, Junyao Guo, Ying Dai, Yong Medicine (Baltimore) 4900 BACKGROUND: Malaria remains a global health threat for centuries. In recent years, a rising resistance of Plasmodium falciparum to current standard artemisinin-based combination therapies (ACTs) leads to increasing treatment failures and requires for optimized treatment. Here, we intend to make a systematic review and meta-analysis of optimizing treatment for malaria, so as to find a potential optimal treatment. METHODS: We will search electronic databases: the Cochrane Infectious Diseases Group (CIDG) Specialized Register, the Cochrane Central Register of Controlled Trials (CEN-TRAL), PubMed, Embase, Web of Science from their inception to 1 July, 2020. We will also search International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov, and contact with authors when necessary. Two authors will independently collect and select data, and the statistical analyses will be conducted by Revman V.5.3 software. RESULTS: We will evaluate efficacy and safety of modified ACTs for uncomplicate malaria, comparing with standard ACTs in all eligible clinical studies. CONCLUSION: In this study, we will offer clinical evidence for optimizing treatment for malaria. REGISTRATION NUMBER: INPLASY202070115 Lippincott Williams & Wilkins 2020-09-04 /pmc/articles/PMC7478701/ /pubmed/32899064 http://dx.doi.org/10.1097/MD.0000000000022044 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4900
Zhang, Renyan
Dong, Xing
Wang, Junyao
Guo, Ying
Dai, Yong
A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title_full A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title_fullStr A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title_full_unstemmed A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title_short A protocol for systematic review and meta-analysis of optimizing treatment for malaria
title_sort protocol for systematic review and meta-analysis of optimizing treatment for malaria
topic 4900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478701/
https://www.ncbi.nlm.nih.gov/pubmed/32899064
http://dx.doi.org/10.1097/MD.0000000000022044
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