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Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”

The goal of this study was to reproduce and evaluate the reliability of the network meta-analysis performed in the article “The best drug supplement for obesity treatment: A systematic review and network meta-analysis” by Salari et al. In recent years, it has become more common to employ network met...

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Autores principales: Yu, Xiaoxin, Capers, Patrice L., Zoh, Roger S., Allison, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362736/
https://www.ncbi.nlm.nih.gov/pubmed/37481584
http://dx.doi.org/10.1186/s13098-023-01134-6
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author Yu, Xiaoxin
Capers, Patrice L.
Zoh, Roger S.
Allison, David B.
author_facet Yu, Xiaoxin
Capers, Patrice L.
Zoh, Roger S.
Allison, David B.
author_sort Yu, Xiaoxin
collection PubMed
description The goal of this study was to reproduce and evaluate the reliability of the network meta-analysis performed in the article “The best drug supplement for obesity treatment: A systematic review and network meta-analysis” by Salari et al. In recent years, it has become more common to employ network meta-analysis to assess the relative efficacy of treatments often used in clinical practice. To duplicate Salari et al.‘s research, we pulled data directly from the original trials and used Cohen’s D to determine the effect size for each treatment. We reanalyzed the data since we discovered significant differences between the data we retrieved and the data given by Salari et al. We present new effect size estimates for each therapy and conclude that the prior findings were somewhat erroneous. Our findings highlight the importance of ensuring the accuracy of network meta-analyses to determine the quality and strength of existing evidence.
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spelling pubmed-103627362023-07-23 Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis” Yu, Xiaoxin Capers, Patrice L. Zoh, Roger S. Allison, David B. Diabetol Metab Syndr Brief Report The goal of this study was to reproduce and evaluate the reliability of the network meta-analysis performed in the article “The best drug supplement for obesity treatment: A systematic review and network meta-analysis” by Salari et al. In recent years, it has become more common to employ network meta-analysis to assess the relative efficacy of treatments often used in clinical practice. To duplicate Salari et al.‘s research, we pulled data directly from the original trials and used Cohen’s D to determine the effect size for each treatment. We reanalyzed the data since we discovered significant differences between the data we retrieved and the data given by Salari et al. We present new effect size estimates for each therapy and conclude that the prior findings were somewhat erroneous. Our findings highlight the importance of ensuring the accuracy of network meta-analyses to determine the quality and strength of existing evidence. BioMed Central 2023-07-22 /pmc/articles/PMC10362736/ /pubmed/37481584 http://dx.doi.org/10.1186/s13098-023-01134-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Brief Report
Yu, Xiaoxin
Capers, Patrice L.
Zoh, Roger S.
Allison, David B.
Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title_full Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title_fullStr Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title_full_unstemmed Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title_short Correcting calculation and data errors reveals that the original conclusions were incorrect in “The best drug supplement for obesity treatment: a systematic review and network meta-analysis”
title_sort correcting calculation and data errors reveals that the original conclusions were incorrect in “the best drug supplement for obesity treatment: a systematic review and network meta-analysis”
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362736/
https://www.ncbi.nlm.nih.gov/pubmed/37481584
http://dx.doi.org/10.1186/s13098-023-01134-6
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