Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis
ABSTRACT Aims/Introduction Diet therapy is a vital approach to manage type 2 diabetes and prediabetes. However, the comparative efficacy of different eating patterns is not clear enough. We aimed to compare the efficacy of various eating patterns for glycemic control, anthropometrics, and serum lipi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-02-01
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| Series: | Journal of Diabetes Investigation |
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| Online Access: | https://doi.org/10.1111/jdi.13935 |
| _version_ | 1797937955332947968 |
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| author | Ben‐tuo Zeng Hui‐qing Pan Feng‐dan Li Zhen‐yu Ye Yang Liu Ji‐wei Du |
| author_facet | Ben‐tuo Zeng Hui‐qing Pan Feng‐dan Li Zhen‐yu Ye Yang Liu Ji‐wei Du |
| author_sort | Ben‐tuo Zeng |
| collection | DOAJ |
| description | ABSTRACT Aims/Introduction Diet therapy is a vital approach to manage type 2 diabetes and prediabetes. However, the comparative efficacy of different eating patterns is not clear enough. We aimed to compare the efficacy of various eating patterns for glycemic control, anthropometrics, and serum lipid profiles in the management of type 2 diabetes and prediabetes. Materials and Methods We conducted a network meta‐analysis using arm‐based Bayesian methods and random effect models, and drew the conclusions using the partially contextualized framework. We searched twelve databases and yielded 9,534 related references, where 107 studies were eligible, comprising 8,909 participants. Results Eleven diets were evaluated for 14 outcomes. Caloric restriction was ranked as the best pattern for weight loss (SUCRA 86.8%) and waist circumference (82.2%), low‐carbohydrate diets for body mass index (81.6%), and high‐density lipoprotein (84.0%), and low‐glycemic‐index diets for total cholesterol (87.5%) and low‐density lipoprotein (86.6%). Other interventions showed some superiorities, but were imprecise due to insufficient participants and needed further investigation. The attrition rates of interventions were similar. Meta‐regression suggested that macronutrients, energy intake, and weight may modify outcomes differently. The evidence was of moderate‐to‐low quality, and 38.2% of the evidence items met the minimal clinically important differences. Conclusions The selection and development of dietary strategies for diabetic/prediabetic patients should depend on their holistic conditions, i.e., serum lipid profiles, glucometabolic patterns, weight, and blood pressure. It is recommended to identify the most critical and urgent metabolic indicator to control for one specific patient, and then choose the most appropriate eating pattern accordingly. |
| first_indexed | 2024-04-10T18:53:28Z |
| format | Article |
| id | doaj.art-40df694d6dcf4810a76e452dae6e834a |
| institution | Directory Open Access Journal |
| issn | 2040-1116 2040-1124 |
| language | English |
| last_indexed | 2024-04-10T18:53:28Z |
| publishDate | 2023-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Investigation |
| spelling | doaj.art-40df694d6dcf4810a76e452dae6e834a2023-02-01T05:12:51ZengWileyJournal of Diabetes Investigation2040-11162040-11242023-02-0114226328810.1111/jdi.13935Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysisBen‐tuo Zeng0Hui‐qing Pan1Feng‐dan Li2Zhen‐yu Ye3Yang Liu4Ji‐wei Du5School of Medicine Xiamen University Xiamen ChinaSchool of Medicine Tongji University Shanghai ChinaNursing Department Xiang'an Hospital of Xiamen University Xiamen ChinaSchool of Medicine Xiamen University Xiamen ChinaSchool of Medicine Xiamen University Xiamen ChinaInstitute of Education Xiamen University Xiamen ChinaABSTRACT Aims/Introduction Diet therapy is a vital approach to manage type 2 diabetes and prediabetes. However, the comparative efficacy of different eating patterns is not clear enough. We aimed to compare the efficacy of various eating patterns for glycemic control, anthropometrics, and serum lipid profiles in the management of type 2 diabetes and prediabetes. Materials and Methods We conducted a network meta‐analysis using arm‐based Bayesian methods and random effect models, and drew the conclusions using the partially contextualized framework. We searched twelve databases and yielded 9,534 related references, where 107 studies were eligible, comprising 8,909 participants. Results Eleven diets were evaluated for 14 outcomes. Caloric restriction was ranked as the best pattern for weight loss (SUCRA 86.8%) and waist circumference (82.2%), low‐carbohydrate diets for body mass index (81.6%), and high‐density lipoprotein (84.0%), and low‐glycemic‐index diets for total cholesterol (87.5%) and low‐density lipoprotein (86.6%). Other interventions showed some superiorities, but were imprecise due to insufficient participants and needed further investigation. The attrition rates of interventions were similar. Meta‐regression suggested that macronutrients, energy intake, and weight may modify outcomes differently. The evidence was of moderate‐to‐low quality, and 38.2% of the evidence items met the minimal clinically important differences. Conclusions The selection and development of dietary strategies for diabetic/prediabetic patients should depend on their holistic conditions, i.e., serum lipid profiles, glucometabolic patterns, weight, and blood pressure. It is recommended to identify the most critical and urgent metabolic indicator to control for one specific patient, and then choose the most appropriate eating pattern accordingly.https://doi.org/10.1111/jdi.13935Diabetes mellitus type 2Medical nutrition therapyPrediabetic state |
| spellingShingle | Ben‐tuo Zeng Hui‐qing Pan Feng‐dan Li Zhen‐yu Ye Yang Liu Ji‐wei Du Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis Journal of Diabetes Investigation Diabetes mellitus type 2 Medical nutrition therapy Prediabetic state |
| title | Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis |
| title_full | Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis |
| title_fullStr | Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis |
| title_full_unstemmed | Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis |
| title_short | Comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes: An arm‐based Bayesian network meta‐analysis |
| title_sort | comparative efficacy of different eating patterns in the management of type 2 diabetes and prediabetes an arm based bayesian network meta analysis |
| topic | Diabetes mellitus type 2 Medical nutrition therapy Prediabetic state |
| url | https://doi.org/10.1111/jdi.13935 |
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