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Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention
Systematic reviews/meta-analyses (SR/MAs) are considered a reliable source of information in healthcare. We aimed to explore the association of several characteristics of SR/MAs addressing nutrition in cancer prevention and their quality/risk of bias (using assessments from AMSTAR-2 and ROBIS tools)...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744691/ https://www.ncbi.nlm.nih.gov/pubmed/35010766 http://dx.doi.org/10.3390/ijerph19010506 |
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author | Storman, Dawid Koperny, Magdalena Zając, Joanna Polak, Maciej Weglarz, Paulina Bochenek-Cibor, Justyna Swierz, Mateusz J. Staskiewicz, Wojciech Gorecka, Magdalena Skuza, Anna Wach, Adam A. Kaluzinska, Klaudia Bała, Małgorzata M. |
author_facet | Storman, Dawid Koperny, Magdalena Zając, Joanna Polak, Maciej Weglarz, Paulina Bochenek-Cibor, Justyna Swierz, Mateusz J. Staskiewicz, Wojciech Gorecka, Magdalena Skuza, Anna Wach, Adam A. Kaluzinska, Klaudia Bała, Małgorzata M. |
author_sort | Storman, Dawid |
collection | PubMed |
description | Systematic reviews/meta-analyses (SR/MAs) are considered a reliable source of information in healthcare. We aimed to explore the association of several characteristics of SR/MAs addressing nutrition in cancer prevention and their quality/risk of bias (using assessments from AMSTAR-2 and ROBIS tools). The analysis included 101 SR/MAs identified in a systematic survey. Associations of each specified characteristic (e.g., information about the protocol, publication year, reported use of GRADE, or other methods for assessing overall certainty of evidence) with the number of AMSTAR-2 not met (‘No’ responses) and the number of ROBIS items met (‘Probably Yes’ or “Yes’ responses) were examined. Poisson regression was used to identify predictors of the number of ‘No’ answers (indicating lower quality) for all AMSTAR-2 items and the number of ‘Yes’ or ‘Probably Yes’ answers (indicating higher quality/lower concern for bias) for all ROBIS items. Logistic regression was used to identify variables associated with at least one domain assessed as ‘low concern for bias’ in the ROBIS tool. In multivariable analysis, SR/MAs not reporting use of any quality/risk of bias assessment instrument for primary studies were associated with a higher number of ‘No’ answers for all AMSTAR-2 items (incidence rate ratio (IRR) 1.26, 95% confidence interval (CI) 1.09–1.45), and a lower number of ‘Yes’ or ‘Probably Yes’ answers for all ROBIS items (IRR 0.76, 95% CI 0.66–0.87). Providing information about the protocol and search for unpublished studies was associated with a lower number of ‘No’ answers (IRR 0.73, 95% CI 0.56–0.97 and IRR 0.75, 95% CI 0.59–0.95, respectively) and a higher number of ‘Yes’ or ‘Probably Yes’ answers (IRR 1.43, 95% CI 1.17–1.74 and IRR 1.28, 95% CI 1.07–1.52, respectively). Not using at least one quality/risk of bias assessment tool for primary studies within an SR/MA was associated with lower odds that a study would be assessed as ‘low concern for bias’ in at least one ROBIS domain (odds ratio 0.061, 95% CI 0.007–0.527). Adherence to methodological standards in the development of SR/MAs was associated with a higher overall quality of SR/MAs addressing nutrition for cancer prevention. |
format | Online Article Text |
id | pubmed-8744691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87446912022-01-11 Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention Storman, Dawid Koperny, Magdalena Zając, Joanna Polak, Maciej Weglarz, Paulina Bochenek-Cibor, Justyna Swierz, Mateusz J. Staskiewicz, Wojciech Gorecka, Magdalena Skuza, Anna Wach, Adam A. Kaluzinska, Klaudia Bała, Małgorzata M. Int J Environ Res Public Health Article Systematic reviews/meta-analyses (SR/MAs) are considered a reliable source of information in healthcare. We aimed to explore the association of several characteristics of SR/MAs addressing nutrition in cancer prevention and their quality/risk of bias (using assessments from AMSTAR-2 and ROBIS tools). The analysis included 101 SR/MAs identified in a systematic survey. Associations of each specified characteristic (e.g., information about the protocol, publication year, reported use of GRADE, or other methods for assessing overall certainty of evidence) with the number of AMSTAR-2 not met (‘No’ responses) and the number of ROBIS items met (‘Probably Yes’ or “Yes’ responses) were examined. Poisson regression was used to identify predictors of the number of ‘No’ answers (indicating lower quality) for all AMSTAR-2 items and the number of ‘Yes’ or ‘Probably Yes’ answers (indicating higher quality/lower concern for bias) for all ROBIS items. Logistic regression was used to identify variables associated with at least one domain assessed as ‘low concern for bias’ in the ROBIS tool. In multivariable analysis, SR/MAs not reporting use of any quality/risk of bias assessment instrument for primary studies were associated with a higher number of ‘No’ answers for all AMSTAR-2 items (incidence rate ratio (IRR) 1.26, 95% confidence interval (CI) 1.09–1.45), and a lower number of ‘Yes’ or ‘Probably Yes’ answers for all ROBIS items (IRR 0.76, 95% CI 0.66–0.87). Providing information about the protocol and search for unpublished studies was associated with a lower number of ‘No’ answers (IRR 0.73, 95% CI 0.56–0.97 and IRR 0.75, 95% CI 0.59–0.95, respectively) and a higher number of ‘Yes’ or ‘Probably Yes’ answers (IRR 1.43, 95% CI 1.17–1.74 and IRR 1.28, 95% CI 1.07–1.52, respectively). Not using at least one quality/risk of bias assessment tool for primary studies within an SR/MA was associated with lower odds that a study would be assessed as ‘low concern for bias’ in at least one ROBIS domain (odds ratio 0.061, 95% CI 0.007–0.527). Adherence to methodological standards in the development of SR/MAs was associated with a higher overall quality of SR/MAs addressing nutrition for cancer prevention. MDPI 2022-01-03 /pmc/articles/PMC8744691/ /pubmed/35010766 http://dx.doi.org/10.3390/ijerph19010506 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Storman, Dawid Koperny, Magdalena Zając, Joanna Polak, Maciej Weglarz, Paulina Bochenek-Cibor, Justyna Swierz, Mateusz J. Staskiewicz, Wojciech Gorecka, Magdalena Skuza, Anna Wach, Adam A. Kaluzinska, Klaudia Bała, Małgorzata M. Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title | Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title_full | Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title_fullStr | Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title_full_unstemmed | Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title_short | Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention |
title_sort | predictors of higher quality of systematic reviews addressing nutrition and cancer prevention |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744691/ https://www.ncbi.nlm.nih.gov/pubmed/35010766 http://dx.doi.org/10.3390/ijerph19010506 |
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