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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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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 |
format | Online Article Text |
id | pubmed-7478701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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