Tier 1 — highest

Effect of Betaine on Reducing Body Fat-A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Xiang Gao, Huijun Zhang, Xiao-Fei Guo, Kelei Li, Shan Li, Duo Li
Nutrients 2019 11(10):2480

Bibliography

PubMed
PMID 31623137
PubMed Central
PMC6835719
Funding
Indexed grant support: 81773433 — National Natural Science Foundation of China; 2017YYSP007 — Key scientific Research Projects in Shandong Provence; ZR2019PC014 — Natural Science Foundation of Shandong Province; CNS-DSM2018A30 — 2018 Chinese Nutrition Society (CNS) Nutrition Research Foundation-DSM Research Fund. The indexed list may not contain the complete funding declaration.
Competing interests
Reported disclosure: The authors declare no conflict of interest.

Study snapshot

DesignSystematic review and meta-analysis of RCTs
ModelEvidence synthesis; mixed research models
Sample6 studies; 195 participants
InterventionBetaine supplementation versus controls
DurationSearch through September 2019
EndpointsFat mass; Body-fat percentage; Weight

What the study showed, in plain terms

Published in 2019, this source examined safety assessments and evidence synthesis. Its evidence base was 6 studies; 195 participants. It evaluated Betaine supplementation versus controls across Search through September 2019.

The analysis reported lower fat mass and body-fat percentage but no clear change in weight or BMI.

Few small studies; later synthesis did not reproduce a clear overall body-composition benefit.

Continue with TMG Data Center

Continue with TMG for Weight Loss: Body-Fat Findings and Their Limits

Key findings

  • The analysis reported lower fat mass and body-fat percentage but no clear change in weight or BMI.
  • The recorded outcome domains were Fat mass; Body-fat percentage; Weight.
  • This synthesis reuses the included study populations; it is not an additional randomized participant cohort.

What this study can and cannot tell us

  • Few small studies; later synthesis did not reproduce a clear overall body-composition benefit.
  • Pooled estimates depend on the included trials and may share participants with companion publications or other reviews. A statistically significant surrogate outcome does not establish disease prevention.
  • Source basis: Accessible full-text extract plus indexed bibliographic data. Missing method details, funding information or participant denominators are not inferred.

Citation network

Articles citing this research paper

2 articles

Biohack Blueprint analyses that reference this study in their evidence base.

Editorial review

Reviewed by the Biohack Blueprint research team

Last verified