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Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes
OBJECTIVES: To compare estimates of the relative risk (RR) of type-2 diabetes mellitus (T2DM) from processed meat consumption between observational studies including only non-consumers in the reference exposure groups (ZB) vs studies including both no- and low-amount processed meat consumers (mixed...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193811/ http://dx.doi.org/10.1093/cdn/nzac067.061 |
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author | Pouzou, Jane Zagmutt, Francisco |
author_facet | Pouzou, Jane Zagmutt, Francisco |
author_sort | Pouzou, Jane |
collection | PubMed |
description | OBJECTIVES: To compare estimates of the relative risk (RR) of type-2 diabetes mellitus (T2DM) from processed meat consumption between observational studies including only non-consumers in the reference exposure groups (ZB) vs studies including both no- and low-amount processed meat consumers (mixed baseline, or MB). METHODS: Studies examining processed meat consumption and incidence of T2DM were selected from references of the Global Burden of Disease (GBD) project's 2020 systematic review. For studies meeting the inclusion criteria, a meta-analysis regression was fit to the RR of the lowest exposure group relative to the reference. Both fixed and random effect models and modifiers including grams/day and the type of baseline (ZB or MB) were tested for significance. RESULTS: Seven of the 19 cohorts that met the inclusion criteria had ZB. The MB model, using all 15 studies, was best fit by a random-effect model modified with both grams/day and the use of ZB as reference. The effect size for additional 10 g/day was 1.07 (95% CI 1.02–1.12). The coefficient for use of a ZB suggests those studies have a lower RR than MB studies when also controlling for differences in the gram/day consumed in non-reference group. The best fitting model for the ZB studies (no consumers in the baseline) was the fixed effect model without addition of any covariates. The effect for 10 g/day estimated with this meta-analysis was 1.07 (1.03–1.12). CONCLUSIONS: The identification of zero-baseline study groups as a covariate of the meta-analysis had a significant impact on the model. In this model, both the addition of grams per day and of an identifying variable of a zero-baseline group had a significant effect, indicating that estimate of effect based on a zero-consumption reference group can be more precise than reference groups with consumers. However, the expected impact of additional precision in the exposures would be a larger effect size estimate. The overall lack of change in adjusted relative risks from the meta-analysis combined with this result suggest evidence of effect of processed meat and T2DM at low consumption levels might not be consistent, and possibly biased by residual confounding. FUNDING SOURCES: This work was partially funded by MatPrat Norway. The funders had no input on the analysis or preparation of this abstract. |
format | Online Article Text |
id | pubmed-9193811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91938112022-06-14 Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes Pouzou, Jane Zagmutt, Francisco Curr Dev Nutr Nutritional Epidemiology OBJECTIVES: To compare estimates of the relative risk (RR) of type-2 diabetes mellitus (T2DM) from processed meat consumption between observational studies including only non-consumers in the reference exposure groups (ZB) vs studies including both no- and low-amount processed meat consumers (mixed baseline, or MB). METHODS: Studies examining processed meat consumption and incidence of T2DM were selected from references of the Global Burden of Disease (GBD) project's 2020 systematic review. For studies meeting the inclusion criteria, a meta-analysis regression was fit to the RR of the lowest exposure group relative to the reference. Both fixed and random effect models and modifiers including grams/day and the type of baseline (ZB or MB) were tested for significance. RESULTS: Seven of the 19 cohorts that met the inclusion criteria had ZB. The MB model, using all 15 studies, was best fit by a random-effect model modified with both grams/day and the use of ZB as reference. The effect size for additional 10 g/day was 1.07 (95% CI 1.02–1.12). The coefficient for use of a ZB suggests those studies have a lower RR than MB studies when also controlling for differences in the gram/day consumed in non-reference group. The best fitting model for the ZB studies (no consumers in the baseline) was the fixed effect model without addition of any covariates. The effect for 10 g/day estimated with this meta-analysis was 1.07 (1.03–1.12). CONCLUSIONS: The identification of zero-baseline study groups as a covariate of the meta-analysis had a significant impact on the model. In this model, both the addition of grams per day and of an identifying variable of a zero-baseline group had a significant effect, indicating that estimate of effect based on a zero-consumption reference group can be more precise than reference groups with consumers. However, the expected impact of additional precision in the exposures would be a larger effect size estimate. The overall lack of change in adjusted relative risks from the meta-analysis combined with this result suggest evidence of effect of processed meat and T2DM at low consumption levels might not be consistent, and possibly biased by residual confounding. FUNDING SOURCES: This work was partially funded by MatPrat Norway. The funders had no input on the analysis or preparation of this abstract. Oxford University Press 2022-06-14 /pmc/articles/PMC9193811/ http://dx.doi.org/10.1093/cdn/nzac067.061 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Nutritional Epidemiology Pouzou, Jane Zagmutt, Francisco Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title | Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title_full | Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title_fullStr | Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title_full_unstemmed | Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title_short | Restricting Meta-Analyses’ Source Studies to Non-consumer Reference Groups Has Significant Effects on the Link between Processed Meat and Type II Diabetes |
title_sort | restricting meta-analyses’ source studies to non-consumer reference groups has significant effects on the link between processed meat and type ii diabetes |
topic | Nutritional Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193811/ http://dx.doi.org/10.1093/cdn/nzac067.061 |
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