Szendi Katalin, Murányi Edit, Hunter Nicole, Németh Balázs
Department of Public Health Medicine, Medical School, University of Pécs, 7624 Pécs, Hungary.
Foods. 2024 Jan 12;13(2):248. doi: 10.3390/foods13020248.
Several meta-analyses have found a positive association between a popular type of "fad diet", ketogenic diets, and their effect on anthropometric and blood parameters. However, the non-specific inclusion criteria for meta-analyses may lead to incorrect conclusions. The aim of this literature review is to highlight the main confounders and methodological pitfalls of meta-analyses on ketogenic diets by inspecting the presence of key inclusion criteria. The PubMed, Embase, and Web of Science databases and the Cochrane Database of Systematic Reviews were searched for meta-analyses. Most meta-analyses did not define the essential parameters of a ketogenic diet (i.e., calories, macronutrient ratio, types of fatty acids, ketone bodies, etc.) as inclusion criteria. Of the 28 included meta-analyses, few addressed collecting real, re-measured nutritional data from the ketogenic diet and control groups in parallel with the pre-designed nutritional data. Most meta-analyses reported positive results in favor of ketogenic diets, which can result in erroneous conclusions considering the numerous methodological pitfalls and confounders. Well-designed clinical trials with comparable results and their meta-analyses are needed. Until then, medical professionals should not recommend ketogenic diets as a form of weight loss when other well-known dietary options have been shown to be healthy and effective.
多项荟萃分析发现,一种流行的“时尚饮食”——生酮饮食,与其对人体测量和血液参数的影响之间存在正相关。然而,荟萃分析的非特异性纳入标准可能会导致错误的结论。这篇文献综述的目的是通过检查关键纳入标准的存在情况,突出关于生酮饮食的荟萃分析的主要混杂因素和方法学缺陷。在PubMed、Embase、科学网数据库以及Cochrane系统评价数据库中检索了相关的荟萃分析。大多数荟萃分析没有将生酮饮食的基本参数(即热量、宏量营养素比例、脂肪酸类型、酮体等)定义为纳入标准。在纳入的28项荟萃分析中,很少有研究提及与预先设计的营养数据并行收集来自生酮饮食组和对照组的真实、重新测量的营养数据。大多数荟萃分析报告了支持生酮饮食的阳性结果,考虑到众多的方法学缺陷和混杂因素,这可能会导致错误的结论。需要设计良好且结果可比的临床试验及其荟萃分析。在此之前,当其他众所周知的饮食选择已被证明是健康且有效的时候,医学专业人员不应推荐生酮饮食作为一种减肥方式。