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A step by step guide for conducting a systematic review and meta-analysis with simulation data

BACKGROUND: The massive abundance of studies relating to tropical medicine and health has increased strikingly over the last few decades. In the field of tropical medicine and health, a well-conducted systematic review and meta-analysis (SR/MA) is considered a feasible solution for keeping clinician...

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Autores principales: Tawfik, Gehad Mohamed, Dila, Kadek Agus Surya, Mohamed, Muawia Yousif Fadlelmola, Tam, Dao Ngoc Hien, Kien, Nguyen Dang, Ahmed, Ali Mahmoud, Huy, Nguyen Tien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670166/
https://www.ncbi.nlm.nih.gov/pubmed/31388330
http://dx.doi.org/10.1186/s41182-019-0165-6
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author Tawfik, Gehad Mohamed
Dila, Kadek Agus Surya
Mohamed, Muawia Yousif Fadlelmola
Tam, Dao Ngoc Hien
Kien, Nguyen Dang
Ahmed, Ali Mahmoud
Huy, Nguyen Tien
author_facet Tawfik, Gehad Mohamed
Dila, Kadek Agus Surya
Mohamed, Muawia Yousif Fadlelmola
Tam, Dao Ngoc Hien
Kien, Nguyen Dang
Ahmed, Ali Mahmoud
Huy, Nguyen Tien
author_sort Tawfik, Gehad Mohamed
collection PubMed
description BACKGROUND: The massive abundance of studies relating to tropical medicine and health has increased strikingly over the last few decades. In the field of tropical medicine and health, a well-conducted systematic review and meta-analysis (SR/MA) is considered a feasible solution for keeping clinicians abreast of current evidence-based medicine. Understanding of SR/MA steps is of paramount importance for its conduction. It is not easy to be done as there are obstacles that could face the researcher. To solve those hindrances, this methodology study aimed to provide a step-by-step approach mainly for beginners and junior researchers, in the field of tropical medicine and other health care fields, on how to properly conduct a SR/MA, in which all the steps here depicts our experience and expertise combined with the already well-known and accepted international guidance. We suggest that all steps of SR/MA should be done independently by 2–3 reviewers’ discussion, to ensure data quality and accuracy. CONCLUSION: SR/MA steps include the development of research question, forming criteria, search strategy, searching databases, protocol registration, title, abstract, full-text screening, manual searching, extracting data, quality assessment, data checking, statistical analysis, double data checking, and manuscript writing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41182-019-0165-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-66701662019-08-06 A step by step guide for conducting a systematic review and meta-analysis with simulation data Tawfik, Gehad Mohamed Dila, Kadek Agus Surya Mohamed, Muawia Yousif Fadlelmola Tam, Dao Ngoc Hien Kien, Nguyen Dang Ahmed, Ali Mahmoud Huy, Nguyen Tien Trop Med Health Review BACKGROUND: The massive abundance of studies relating to tropical medicine and health has increased strikingly over the last few decades. In the field of tropical medicine and health, a well-conducted systematic review and meta-analysis (SR/MA) is considered a feasible solution for keeping clinicians abreast of current evidence-based medicine. Understanding of SR/MA steps is of paramount importance for its conduction. It is not easy to be done as there are obstacles that could face the researcher. To solve those hindrances, this methodology study aimed to provide a step-by-step approach mainly for beginners and junior researchers, in the field of tropical medicine and other health care fields, on how to properly conduct a SR/MA, in which all the steps here depicts our experience and expertise combined with the already well-known and accepted international guidance. We suggest that all steps of SR/MA should be done independently by 2–3 reviewers’ discussion, to ensure data quality and accuracy. CONCLUSION: SR/MA steps include the development of research question, forming criteria, search strategy, searching databases, protocol registration, title, abstract, full-text screening, manual searching, extracting data, quality assessment, data checking, statistical analysis, double data checking, and manuscript writing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41182-019-0165-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-01 /pmc/articles/PMC6670166/ /pubmed/31388330 http://dx.doi.org/10.1186/s41182-019-0165-6 Text en © The Author(s) 2019 Open Access This 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 Review
Tawfik, Gehad Mohamed
Dila, Kadek Agus Surya
Mohamed, Muawia Yousif Fadlelmola
Tam, Dao Ngoc Hien
Kien, Nguyen Dang
Ahmed, Ali Mahmoud
Huy, Nguyen Tien
A step by step guide for conducting a systematic review and meta-analysis with simulation data
title A step by step guide for conducting a systematic review and meta-analysis with simulation data
title_full A step by step guide for conducting a systematic review and meta-analysis with simulation data
title_fullStr A step by step guide for conducting a systematic review and meta-analysis with simulation data
title_full_unstemmed A step by step guide for conducting a systematic review and meta-analysis with simulation data
title_short A step by step guide for conducting a systematic review and meta-analysis with simulation data
title_sort step by step guide for conducting a systematic review and meta-analysis with simulation data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670166/
https://www.ncbi.nlm.nih.gov/pubmed/31388330
http://dx.doi.org/10.1186/s41182-019-0165-6
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