Whey Protein Body Composition Meta-Analysis Evidence Table

Structured evidence table for Whey Protein Body Composition Meta-Analysis, generated from 1 reusable source document in the Migaku knowledge base.

topicclaimevidence levelcitationsource
Whey Protein Body Composition Meta-AnalysisA subsequent review included 49 RCTs and yielded a similar conclusion, observing a dose–response relationship without specifying the optima for different types ().1Li Yunxia (2026)Dose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
Whey Protein Body Composition Meta-Analysis17 18 19 Table 1 Supplementary Table S2 Methodological quality was assessed with the Cochrane Risk of Bias 2.0 (RoB 2.0) tool across five domains: randomization process, deviations from intended interventions, missing outcome data, outcome measurement, and selective reporting ().1Li Yunxia (2026)Dose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
Whey Protein Body Composition Meta-AnalysisEach domain was rated as “low risk,” “some concerns,” or “high risk.” Traffic-light plots and summary bar charts were generated with robvis ().1Li Yunxia (2026)Dose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
Whey Protein Body Composition Meta-Analysis1 2 3 4 5 Resistance training and protein ingestion are considered to be the foundation of all interventions aiming to build skeletal muscle mass and strength throughout life (,).1Li Yunxia (2026)Dose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
topicWhey Protein Body Composition Meta-Analysis
claimA subsequent review included 49 RCTs and yielded a similar conclusion, observing a dose–response relationship without specifying the optima for different types ().
evidence level1
citationLi Yunxia (2026)
sourceDose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
topicWhey Protein Body Composition Meta-Analysis
claim17 18 19 Table 1 Supplementary Table S2 Methodological quality was assessed with the Cochrane Risk of Bias 2.0 (RoB 2.0) tool across five domains: randomization process, deviations from intended interventions, missing outcome data, outcome measurement, and selective reporting ().
evidence level1
citationLi Yunxia (2026)
sourceDose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
topicWhey Protein Body Composition Meta-Analysis
claimEach domain was rated as “low risk,” “some concerns,” or “high risk.” Traffic-light plots and summary bar charts were generated with robvis ().
evidence level1
citationLi Yunxia (2026)
sourceDose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling
topicWhey Protein Body Composition Meta-Analysis
claim1 2 3 4 5 Resistance training and protein ingestion are considered to be the foundation of all interventions aiming to build skeletal muscle mass and strength throughout life (,).
evidence level1
citationLi Yunxia (2026)
sourceDose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling

Source documents

  1. Dose–structure–population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose–response modeling