Assessment of COVID-19-related meta-analysis reporting quality
© 2021. Royal Academy of Medicine in Ireland..
BACKGROUND: Meta-analysis of high-quality primary articles represents the top-quality evidence in medical literature. In this project, our aim was to assess the number and quality of COVID-related meta-analysis published since the beginning of the COVID-19 pandemic.
METHODS: The search included the period from January 1, 2020, when the beginning of primary articles on COVID-19, till October 31, 2020. We screened a total of 793 studies. We excluded non-meta-analytic non-COVID-19-related studies. We obtained different characteristics, and we determined the quality of reporting using the AMSTAR tool, an 11-items tool that assesses the content validity and methodological quality of systematic reviews and meta-analysis.
RESULTS: A total of 538 studies were included in our assessment. The first meta-analysis included was published in March, while the last one was on the 31st of October. Upon comparing the mean AMSTAR score for meta-analysis published during each month, we found a significant difference (p < 0.001, F = 4.139), where the mean score almost steadily increased since March.
CONCLUSION: The urge to publish during the COVID-19 period or any other surge in publishing should not be at the expense of quality.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:191 |
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Enthalten in: |
Irish journal of medical science - 191(2022), 3 vom: 06. Juni, Seite 1047-1051 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Al-Ryalat, Nosaiba [VerfasserIn] |
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Links: |
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Themen: |
AMSTAR |
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Anmerkungen: |
Date Completed 30.05.2022 Date Revised 30.05.2022 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1007/s11845-021-02710-3 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM327735260 |
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520 | |a © 2021. Royal Academy of Medicine in Ireland. | ||
520 | |a BACKGROUND: Meta-analysis of high-quality primary articles represents the top-quality evidence in medical literature. In this project, our aim was to assess the number and quality of COVID-related meta-analysis published since the beginning of the COVID-19 pandemic | ||
520 | |a METHODS: The search included the period from January 1, 2020, when the beginning of primary articles on COVID-19, till October 31, 2020. We screened a total of 793 studies. We excluded non-meta-analytic non-COVID-19-related studies. We obtained different characteristics, and we determined the quality of reporting using the AMSTAR tool, an 11-items tool that assesses the content validity and methodological quality of systematic reviews and meta-analysis | ||
520 | |a RESULTS: A total of 538 studies were included in our assessment. The first meta-analysis included was published in March, while the last one was on the 31st of October. Upon comparing the mean AMSTAR score for meta-analysis published during each month, we found a significant difference (p < 0.001, F = 4.139), where the mean score almost steadily increased since March | ||
520 | |a CONCLUSION: The urge to publish during the COVID-19 period or any other surge in publishing should not be at the expense of quality | ||
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