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The Study

Genetically Predicted Artificial Sweeteners and Stroke Susceptibility: A Multivariable Mendelian Randomization Study.

In simple terms

This study uses genetic data to guess how much artificial sweetener people might consume and then checks if those guesses are linked to stroke. It’s like using a weather forecast model to predict rain, but you can’t be sure it will actually rain. So, it shows possible links, but not proof that sweeteners cause stroke.

0%

Analysis score

0/ 0

Maximum 0 for a computational/algorithm study.

Where the score came from

Reporting0
Methodology0
Publication100
Statistical77
Study type (basis of the score)
Computational/Algorithm Study
Level 5 - Expert opinion
What’s the bottom line?

Scientists used genes to guess how much sweetener people might consume and looked at whether that was linked to strokes.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Expert Opinion
Level 5
0

0 / 100

Quality score

Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1The results suggest a possible link, but we can't be sure it's the sweeteners causing the risk — other habits like drinking tea or having high blood sugar might be involved.
  2. 2Tea sweetened with artificial sweeteners was linked to 3 times higher chance of one type of stroke.
  3. 3Low-calorie drinks were linked to 1.7 times higher chance of another stroke type.
  4. 4Sucralose in the body was linked to a small increase in stroke risk, but this flipped after considering blood sugar.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

The International journal of neuroscience

Year

2026

Authors

Zurong Song, Hua Li, Yan Zhang

Open Access
Analysis v5
Fit Body Science verdict — we translate health studies into clear verdicts backed by peer-reviewed research.

Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.