Comment on “Systematic Review and Meta-Analysis of Protein Intake to Support Muscle Mass and Function in Healthy Adults” by Nunes et al.

IF 9.1 1区 医学 Q1 GERIATRICS & GERONTOLOGY
Omar Inca-Barriga, Piero Alberti-Nuñez, Miguel López-Moreno
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However, we believe that certain methodological considerations may affect the interpretation and robustness of the conclusions drawn.</p><p>In the statistical analysis section, the authors state: ‘The analysis was conducted using change from baseline to immediate post-treatment data (means, standard deviations) for both intervention and control/placebo groups to generate summary measures of effect in the form of standardized mean differences (SMDs)’. This implies that the SMDs were calculated based on within-group pre-post changes rather than on the between-group differences at follow-up. However, this approach has been explicitly discouraged by the Cochrane Handbook of Systematic Reviews of Interventions (v6.4, Section 10.5.2), which cautions:</p><p>A particularly critical issue in the present meta-analysis concerns the apparent inclusion of multiple intervention arms from the same study as independent entries in the subgroup analysis, with SMDs calculated from pre-post differences within each arm. While this approach may allow for subgroup-specific exploration (e.g., stratified by protein intake), it introduces a unit-of-analysis error if multiple arms from the same study are analysed independently without accounting for shared sources of variance. According to Cochrane Handbook guidelines (v6.4, Section 23.3.4), this practice violates the assumption of independence across comparisons and can artificially narrow confidence intervals, thereby inflating the precision of the summary effect size [<span>2</span>]. Given that no advanced statistical techniques (e.g., multivariate meta-analysis) were employed to account for this dependence, the reported results likely overstate both the certainty and magnitude of the observed effects.</p><p>The analysis of the forest plot in Figure 2, which includes studies with protein intakes ≥ 1.6 g/kg/day, reveals that only four out of the 20 studies reported statistically significant effects. However, it is important to note that one of these studies—Burke et al.—found significant within-group changes but did not report statistically significant between-group differences [<span>4</span>]. Including this study in the analysis as if it had demonstrated superiority of the intervention group over placebo could have artificially contributed to the statistical significance of the subgroup, potentially leading to an overinterpretation of the intervention's efficacy at this protein intake threshold.</p><p>A relevant point to consider is that the study by Willoughby et al. presents outlier results favouring the intervention with dietary protein. In this study, the protein-supplemented group also exhibited an increase in carbohydrate and fat intake, contributing an additional caloric intake of approximately 250 kcal, as evidenced by the greater change in body mass compared to the protein-supplemented group [<span>5</span>]. A similar pattern is observed in other included studies, such as Nakayama et al. [<span>6</span>]. Furthermore, in the study by Oertzen-Hagemann et al. [<span>7</span>], where caloric and macronutrient intake were not reported, a significant increase in body weight and lean mass was observed in the protein-supplemented group compared to the placebo group. However, this change may have been influenced by a lack of control or adjustment of energy intake in both groups, making it difficult to attribute the effects solely to the intervention. Given that greater energy availability is a critical factor in lean mass gain [<span>8</span>], not adjusting for this variable limits the ability to isolate the effect of protein intake from the confounding impact of increased total energy intake. 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引用次数: 0

Abstract

We respectfully address you regarding the recently published article by Nunes et al., entitled ‘Systematic review and meta-analysis of protein intake to support muscle mass and function in healthy adults’ [1]. The topic is highly relevant, and the study contributes valuable evidence to the field. However, we believe that certain methodological considerations may affect the interpretation and robustness of the conclusions drawn.

In the statistical analysis section, the authors state: ‘The analysis was conducted using change from baseline to immediate post-treatment data (means, standard deviations) for both intervention and control/placebo groups to generate summary measures of effect in the form of standardized mean differences (SMDs)’. This implies that the SMDs were calculated based on within-group pre-post changes rather than on the between-group differences at follow-up. However, this approach has been explicitly discouraged by the Cochrane Handbook of Systematic Reviews of Interventions (v6.4, Section 10.5.2), which cautions:

A particularly critical issue in the present meta-analysis concerns the apparent inclusion of multiple intervention arms from the same study as independent entries in the subgroup analysis, with SMDs calculated from pre-post differences within each arm. While this approach may allow for subgroup-specific exploration (e.g., stratified by protein intake), it introduces a unit-of-analysis error if multiple arms from the same study are analysed independently without accounting for shared sources of variance. According to Cochrane Handbook guidelines (v6.4, Section 23.3.4), this practice violates the assumption of independence across comparisons and can artificially narrow confidence intervals, thereby inflating the precision of the summary effect size [2]. Given that no advanced statistical techniques (e.g., multivariate meta-analysis) were employed to account for this dependence, the reported results likely overstate both the certainty and magnitude of the observed effects.

The analysis of the forest plot in Figure 2, which includes studies with protein intakes ≥ 1.6 g/kg/day, reveals that only four out of the 20 studies reported statistically significant effects. However, it is important to note that one of these studies—Burke et al.—found significant within-group changes but did not report statistically significant between-group differences [4]. Including this study in the analysis as if it had demonstrated superiority of the intervention group over placebo could have artificially contributed to the statistical significance of the subgroup, potentially leading to an overinterpretation of the intervention's efficacy at this protein intake threshold.

A relevant point to consider is that the study by Willoughby et al. presents outlier results favouring the intervention with dietary protein. In this study, the protein-supplemented group also exhibited an increase in carbohydrate and fat intake, contributing an additional caloric intake of approximately 250 kcal, as evidenced by the greater change in body mass compared to the protein-supplemented group [5]. A similar pattern is observed in other included studies, such as Nakayama et al. [6]. Furthermore, in the study by Oertzen-Hagemann et al. [7], where caloric and macronutrient intake were not reported, a significant increase in body weight and lean mass was observed in the protein-supplemented group compared to the placebo group. However, this change may have been influenced by a lack of control or adjustment of energy intake in both groups, making it difficult to attribute the effects solely to the intervention. Given that greater energy availability is a critical factor in lean mass gain [8], not adjusting for this variable limits the ability to isolate the effect of protein intake from the confounding impact of increased total energy intake. Although a sensitivity analysis excluding individual studies may be conducted, this approach is insufficient to fully address the issue.

Finally, we note with concern that the discussion paper states that ‘our data show a small increase in LBM caused by ingesting additional protein and RE.’ This statement implies a direct causal relationship that is not justified, particularly if the effect sizes were derived from within-group analyses and if key confounding variables, such as total energy intake, were not adequately controlled in several included studies.

The authors certify that they comply with the ethical guidelines for authorship and publishing in the Journal of Cachexia, Sarcopenia and Muscle.

The authors declare no conflicts of interest.

对Nunes等人的“蛋白质摄入支持健康成人肌肉质量和功能的系统评价和荟萃分析”的评论。
我们恭敬地就Nunes等人最近发表的题为“蛋白质摄入支持健康成人肌肉质量和功能的系统回顾和荟萃分析”的文章向您发表。该主题具有高度相关性,该研究为该领域提供了有价值的证据。然而,我们认为某些方法学上的考虑可能会影响得出结论的解释和稳健性。在统计分析部分,作者指出:“分析是使用干预组和对照组/安慰剂组从基线到治疗后立即数据的变化(平均值,标准差)来进行的,以标准化平均差异(SMDs)的形式产生效果的总结测量。”这意味着smd是根据组内前后变化而不是随访时组间差异计算的。然而,《Cochrane干预措施系统评价手册》(v6.4,第10.5.2节)明确反对这种方法,该手册警告说:在当前的荟萃分析中,一个特别关键的问题是,在亚组分析中,明显将同一研究中的多个干预组作为独立条目纳入,并根据每个干预组的前后差异计算smd。虽然这种方法可能允许亚组特异性探索(例如,按蛋白质摄入量分层),但如果同一研究的多个分支独立分析而不考虑共同的方差源,则会引入分析单元误差。根据Cochrane Handbook指南(v6.4, Section 23.3.4),这种做法违反了跨比较的独立性假设,并可能人为地缩小置信区间,从而夸大了汇总效应大小[2]的精度。鉴于没有采用先进的统计技术(例如,多变量荟萃分析)来解释这种依赖性,报告的结果可能夸大了观察到的效应的确定性和幅度。对图2中的森林图(包括蛋白质摄入量≥1.6 g/kg/天的研究)的分析显示,20项研究中只有4项报告了统计学上显著的影响。然而,值得注意的是,其中一项研究——burke等人——发现了显著的组内变化,但未报告组间差异的统计学意义[0]。将这项研究纳入分析,好像它已经证明了干预组优于安慰剂,可能人为地促成了该亚组的统计显著性,可能导致过度解释干预在该蛋白质摄入阈值下的功效。需要考虑的一个相关问题是,Willoughby等人的研究提出了支持膳食蛋白质干预的异常结果。在这项研究中,蛋白质补充组也表现出碳水化合物和脂肪摄入量的增加,贡献了大约250千卡的额外热量摄入,与蛋白质补充组相比,体重变化更大。在其他纳入的研究中也观察到类似的模式,如Nakayama等人[10]。此外,在Oertzen-Hagemann等人的研究中,没有报告热量和大量营养素的摄入,但与安慰剂组相比,蛋白质补充组的体重和瘦质量显著增加。然而,这一变化可能受到两组缺乏对能量摄入的控制或调整的影响,因此很难将影响完全归因于干预。鉴于更高的能量利用率是瘦体重增加的关键因素,不调整这一变量限制了将蛋白质摄入的影响与总能量摄入增加的混杂影响分离开来的能力。虽然可以进行排除个别研究的敏感性分析,但这种方法不足以完全解决问题。最后,我们关切地注意到,讨论文件指出,“我们的数据显示,摄入额外的蛋白质和RE会导致LBM的少量增加。”这一说法暗示了一种不合理的直接因果关系,特别是如果效应量来自组内分析,以及在几个纳入的研究中,关键的混杂变量(如总能量摄入)没有得到充分控制。作者保证他们遵守了在恶病质、肌肉减少症和肌肉杂志上发表论文的伦理准则。作者声明无利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Cachexia Sarcopenia and Muscle
Journal of Cachexia Sarcopenia and Muscle MEDICINE, GENERAL & INTERNAL-
CiteScore
13.30
自引率
12.40%
发文量
234
审稿时长
16 weeks
期刊介绍: The Journal of Cachexia, Sarcopenia and Muscle is a peer-reviewed international journal dedicated to publishing materials related to cachexia and sarcopenia, as well as body composition and its physiological and pathophysiological changes across the lifespan and in response to various illnesses from all fields of life sciences. The journal aims to provide a reliable resource for professionals interested in related research or involved in the clinical care of affected patients, such as those suffering from AIDS, cancer, chronic heart failure, chronic lung disease, liver cirrhosis, chronic kidney failure, rheumatoid arthritis, or sepsis.
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