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Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis

BACKGROUND: Malaria causes significant morbidity and mortality worldwide. There are several preventive measures that are currently employed, including insecticide-treated nets (ITNs, including long-lasting insecticidal nets and insecticidal-treated bed nets), indoor residual spraying (IRS), prophyla...

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Autores principales: Wangdi, Kinley, Furuya-Kanamori, Luis, Clark, Justin, Barendregt, Jan J., Gatton, Michelle L., Banwell, Cathy, Kelly, Gerard C., Doi, Suhail A. R., Clements, Archie C. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869791/
https://www.ncbi.nlm.nih.gov/pubmed/29587882
http://dx.doi.org/10.1186/s13071-018-2783-y
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author Wangdi, Kinley
Furuya-Kanamori, Luis
Clark, Justin
Barendregt, Jan J.
Gatton, Michelle L.
Banwell, Cathy
Kelly, Gerard C.
Doi, Suhail A. R.
Clements, Archie C. A.
author_facet Wangdi, Kinley
Furuya-Kanamori, Luis
Clark, Justin
Barendregt, Jan J.
Gatton, Michelle L.
Banwell, Cathy
Kelly, Gerard C.
Doi, Suhail A. R.
Clements, Archie C. A.
author_sort Wangdi, Kinley
collection PubMed
description BACKGROUND: Malaria causes significant morbidity and mortality worldwide. There are several preventive measures that are currently employed, including insecticide-treated nets (ITNs, including long-lasting insecticidal nets and insecticidal-treated bed nets), indoor residual spraying (IRS), prophylactic drugs (PD), and untreated nets (UN). However, it is unclear which measure is the most effective for malaria prevention. We therefore undertook a network meta-analysis to compare the efficacy of different preventive measures on incidence of malaria infection. METHODS: A systematic literature review was undertaken across four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Science) from their inception to July 2016 to compare the effectiveness of different preventive measures on malaria incidence. Data from the included studies were analysed for the effectiveness of several measures against no intervention (NI). This was carried out using an automated generalized pairwise modeling (GPM) framework for network meta-analysis to generate mixed treatment effects against a common comparator of no intervention (NI). RESULTS: There were 30 studies that met the inclusion criteria from 1998–2016. The GPM framework led to a final ranking of effectiveness of measures in the following order from best to worst: PD, ITN, IRS and UN, in comparison with NI. However, only ITN (RR: 0.49, 95% CI: 0.32–0.74) showed precision while other methods [PD (RR: 0.24, 95% CI: 0.004–15.43), IRS (RR: 0.55, 95% CI: 0.20–1.56) and UN (RR: 0.73, 95% CI: 0.28–1.90)] demonstrating considerable uncertainty associated with their point estimates. CONCLUSION: Current evidence is strong for the protective effect of ITN interventions in malaria prevention. Even though ITNs were found to be the only preventive measure with statistical support for their effectiveness, the role of other malaria control measures may be important adjuncts in the global drive to eliminate malaria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-2783-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-58697912018-03-29 Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis Wangdi, Kinley Furuya-Kanamori, Luis Clark, Justin Barendregt, Jan J. Gatton, Michelle L. Banwell, Cathy Kelly, Gerard C. Doi, Suhail A. R. Clements, Archie C. A. Parasit Vectors Research BACKGROUND: Malaria causes significant morbidity and mortality worldwide. There are several preventive measures that are currently employed, including insecticide-treated nets (ITNs, including long-lasting insecticidal nets and insecticidal-treated bed nets), indoor residual spraying (IRS), prophylactic drugs (PD), and untreated nets (UN). However, it is unclear which measure is the most effective for malaria prevention. We therefore undertook a network meta-analysis to compare the efficacy of different preventive measures on incidence of malaria infection. METHODS: A systematic literature review was undertaken across four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Science) from their inception to July 2016 to compare the effectiveness of different preventive measures on malaria incidence. Data from the included studies were analysed for the effectiveness of several measures against no intervention (NI). This was carried out using an automated generalized pairwise modeling (GPM) framework for network meta-analysis to generate mixed treatment effects against a common comparator of no intervention (NI). RESULTS: There were 30 studies that met the inclusion criteria from 1998–2016. The GPM framework led to a final ranking of effectiveness of measures in the following order from best to worst: PD, ITN, IRS and UN, in comparison with NI. However, only ITN (RR: 0.49, 95% CI: 0.32–0.74) showed precision while other methods [PD (RR: 0.24, 95% CI: 0.004–15.43), IRS (RR: 0.55, 95% CI: 0.20–1.56) and UN (RR: 0.73, 95% CI: 0.28–1.90)] demonstrating considerable uncertainty associated with their point estimates. CONCLUSION: Current evidence is strong for the protective effect of ITN interventions in malaria prevention. Even though ITNs were found to be the only preventive measure with statistical support for their effectiveness, the role of other malaria control measures may be important adjuncts in the global drive to eliminate malaria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-2783-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-27 /pmc/articles/PMC5869791/ /pubmed/29587882 http://dx.doi.org/10.1186/s13071-018-2783-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wangdi, Kinley
Furuya-Kanamori, Luis
Clark, Justin
Barendregt, Jan J.
Gatton, Michelle L.
Banwell, Cathy
Kelly, Gerard C.
Doi, Suhail A. R.
Clements, Archie C. A.
Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title_full Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title_fullStr Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title_full_unstemmed Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title_short Comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
title_sort comparative effectiveness of malaria prevention measures: a systematic review and network meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869791/
https://www.ncbi.nlm.nih.gov/pubmed/29587882
http://dx.doi.org/10.1186/s13071-018-2783-y
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