Guideline / position statementindependent cross-checkabstract checked★ key study I-CAN-113 in-depth review

European Code Against Cancer 2026: diet advice

European Code Against Cancer, 5th edition - diet, excess body weight, physical activity, sedentary behavior, breastfeeding, and cancer.

Overview

Leitzmann MF et al.. Mol Oncol 2026 · PMID 41542809 · DOI 10.1002/1878-0261.70201

Europe's cancer code advises eating whole grains, vegetables, legumes and fruit and limiting processed meat, sugary drinks and ultra-processed food.

Does the study support the specific claim? Partly · Methodological quality: high

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Update EU cancer prevention advice.

How was the study done?

Expert review.

How many people, animals or samples were studied?

Not applicable.

What was actually found?

Plant-rich diet, less processed meat and sugary drinks.

How large was the observed effect?

Not applicable.

What do the results mean in everyday life?

Clear, evidence-based prevention rules.

What are the study's limitations?

Mostly observational evidence.

What does it say about Elawady's specific claim?

Supports parts of the system and contradicts its legume/vegetable bans.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

Effects of the Tayebat lists themselves.

Scientific in-depth review

1. Full reference

Authors
Leitzmann MF et al.
Journal
Mol Oncol
Year
2026
Identifier
PMID 41542809 DOI 10.1002/1878-0261.70201
Verification
verified – PubMed efetch 2026-10-26 + Crossref
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

Authors declare no interests; funded by WHO/IARC and EU4Health

2. Research question

Which dietary and weight-related actions reduce cancer risk in the EU?

3. Study design and population

Study design
Guideline / position statement – European Code Against Cancer 5th edition (IARC/WHO, EU4Health): evidence review and recommendations on diet, body weight, activity
Population

General EU population

Country

EU

Period

Published 2026

Sample size

not applicable

Inclusion and exclusion criteria

not applicable

4. Methods and endpoints

Exposure / intervention

Diet, body weight, physical activity, sedentary behaviour, breastfeeding

Comparator

not applicable

Endpoints

Cancer incidence

Statistical methods

Expert working group review

5. Actual results

Results

Full-text passages read: recommends 'Eat whole grains, vegetables, legumes, and fruits as a major part of your daily diet' and 'Limit red meat and avoid processed meat'; 'Limit drinks high in sugar', 'Limit ultra-processed foods'. Dairy not included because evidence is heterogeneous (possible protection against colorectal cancer, possible increased prostate cancer risk). Supplements excluded (heterogeneous; high-dose beta-carotene raises lung cancer in smokers). Direct carcinogenic evidence for food processing is limited except processed meat.

Absolute risks

not applicable

Authors' conclusion

A diet rich in whole grains, vegetables, legumes and fruit, limiting red and avoiding processed meat, sugary drinks and UPF, reduces cancer risk.

6. Strengths

  • Most recent European consensus
  • Transparent stepwise process

7. Weaknesses

  • Consensus; underlying evidence mostly observational

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
not assessable
Rationale

Guideline.

9. Assessment of the statistical interpretation

Not applicable.

10. Relevance to the specific claim

Confirms prevention advice on processed meat, sugary drinks and UPF (supporting C-CAN-07) while recommending legumes and vegetables that the Tayebat lists restrict (contradicting C-CAN-08).

11. Independent contrary findings

12. Transferability to Germany and Europe

High (EU).

13. Overall methodological judgement

Key authoritative source for cancer-prevention claims.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biaslow
Precision of resultsnot applicable
Directnessdirect
Reproducibilityunknown
Consistency with the overall evidenceconsistent
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

15. Linked fact checks