Meta-analysisindependent cross-checkabstract checked★ key study I-CAN-114 in-depth review

Which foods affect bowel cancer risk

Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR Continuous Update Project.

Overview

Vieira AR et al.. Ann Oncol 2017 · PMID 28407090 · DOI 10.1093/annonc/mdx171

More red/processed meat and alcohol raised bowel cancer risk; whole grains and dairy lowered it; poultry and legumes showed no link.

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?

Foods and colorectal cancer.

How was the study done?

Meta-analysis of 111 cohorts.

How many people, animals or samples were studied?

Millions of adults.

What was actually found?

Meat/alcohol up; whole grains/dairy down.

How large was the observed effect?

Dairy RR ~0.87 per 400 g/d; meat RR 1.12 per 100 g/d.

What do the results mean in everyday life?

Banning dairy or legumes is not supported for bowel cancer prevention.

What are the study's limitations?

Observational.

What does it say about Elawady's specific claim?

Partly supports, partly contradicts the forbidden-food list.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

Effects for every cancer type.

Scientific in-depth review

1. Full reference

Authors
Vieira AR et al.
Journal
Ann Oncol
Year
2017
Identifier
PMID 28407090 DOI 10.1093/annonc/mdx171
Verification
verified – PubMed efetch 2026-10-26 + Crossref
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

WCRF/AICR CUP; COI not stated in abstract

2. Research question

Dose-response between foods/beverages and colorectal cancer risk

3. Study design and population

Study design
Meta-analysis – Systematic review and dose-response meta-analysis of cohort studies (WCRF/AICR Continuous Update Project)
Population

Adults in 111 prospective cohorts

Country

International

Period

Searches to 31 May 2015

Sample size

About 400 study estimates from 111 cohorts

Inclusion and exclusion criteria

Prospective studies with adjusted RRs

4. Methods and endpoints

Exposure / intervention

Food groups and beverages

Comparator

Per-increment dose-response

Endpoints

Colorectal cancer incidence

Statistical methods

Random-effects dose-response meta-analysis

5. Actual results

Results

Red and processed meat +12% per 100 g/day (95% CI 4-21%, I2 70%); alcohol +7% per 10 g/day ethanol (5-9%); whole grains -17% per 90 g/day (11-21%, I2 0%); dairy -13% per 400 g/day (10-17%, I2 18%). Vegetables weakly inverse (RR 0.98 per 100 g/d). Fruits, coffee, tea, cheese, poultry and legumes not associated.

Absolute risks

not reported

Authors' conclusion

Red/processed meat and alcohol increase CRC risk; milk and whole grains may be protective.

6. Strengths

  • Large, systematic, dose-response
  • Low heterogeneity for dairy and whole grains

7. Weaknesses

  • Observational
  • Search to 2015

8. Risk of bias

Orienting tool
AMSTAR 2
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
low
Rationale

Standardised CUP methods (abstract-level judgement).

9. Assessment of the statistical interpretation

Percentages converted to RRs; small apparent CI asymmetry explained by rounding of percentage limits.

10. Relevance to the specific claim

Directly tests foods the Tayebat system forbids (dairy, poultry, legumes) against colorectal cancer: no harm signal; dairy inversely associated.

11. Independent contrary findings

12. Transferability to Germany and Europe

High.

13. Overall methodological judgement

Contradicts the cancer-prevention rationale for banning dairy, poultry and legumes; supports limiting processed meat and alcohol.

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

14. Open questions

Other cancer sites (e.g. prostate and dairy).

15. Linked fact checks