Meta-analysisindependent cross-checkabstract checked★ key study I-MEAT-102 in-depth review

Evidence against unprocessed red meat is weak

Health effects associated with consumption of unprocessed red meat: a Burden of Proof study.

Overview

Lescinsky H et al.. Nat Med 2022 · PMID 36216940 · DOI 10.1038/s41591-022-01968-z

Links between unprocessed red meat and bowel cancer, diabetes and heart disease were rated weak; no link with stroke.

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?

Rate the strength of red meat evidence.

How was the study done?

Burden of Proof meta-regression.

How many people, animals or samples were studied?

Prospective studies.

What was actually found?

Weak associations for four outcomes.

How large was the observed effect?

Not summarised as a single number in the abstract.

What do the results mean in everyday life?

Limiting red meat may help a little, but the evidence is not strong.

What are the study's limitations?

Conservative method.

What does it say about Elawady's specific claim?

Supports modest limits but not precise rules.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

It cannot show red meat is safe in any amount.

Scientific in-depth review

1. Full reference

Authors
Lescinsky H et al.
Journal
Nat Med
Year
2022
Identifier
PMID 36216940 DOI 10.1038/s41591-022-01968-z
Verification
verified – PubMed efetch 2026-10-26; Crossref works API 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

NIH (NIA, NIMH) and non-US government support; no competing interests declared.

2. Research question

How strong is the evidence linking unprocessed red meat to six health outcomes?

3. Study design and population

Study design
Meta-analysis – Systematic review with Burden of Proof meta-regression (incorporating between-study heterogeneity)
Population

Prospective studies (number not in abstract)

Country

Multinational

Period

not stated in abstract

Sample size

Not stated in abstract

Inclusion and exclusion criteria

not detailed in abstract

4. Methods and endpoints

Exposure / intervention

Unprocessed red meat (g/day)

Comparator

0 g/day

Endpoints

Colorectal cancer, breast cancer, type 2 diabetes, ischaemic heart disease, ischaemic and haemorrhagic stroke

Statistical methods

Burden of Proof risk function; star ratings

5. Actual results

Results

Weak evidence of association with colorectal cancer, breast cancer, type 2 diabetes and ischaemic heart disease; no evidence of association with ischaemic or haemorrhagic stroke. Combined risk minimised at 0 g/day, but the 95% uncertainty interval incorporating heterogeneity was very wide (0-200 g/day).

Absolute risks

not reported

Authors' conclusion

Evidence that unprocessed red meat increases disease risk is weak and insufficient to make stronger or more conclusive recommendations.

6. Strengths

  • Explicitly accounts for heterogeneity
  • Grades strength of evidence

7. Weaknesses

  • Conservative method may understate true effects
  • Does not address processed meat

8. Risk of bias

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

Method-specific conservatism; simplified judgement.

9. Assessment of the statistical interpretation

Conservative interval reflects inconsistency between studies, not proof of no effect.

10. Relevance to the specific claim

Limits certainty: the benefit of limiting unprocessed red meat is uncertain and small; there is no evidence base for exact weekly frequencies.

11. Independent contrary findings

Shi 2023 (I-MEAT-101), IARC (I-MEAT-01).

12. Transferability to Germany and Europe

Global.

13. Overall methodological judgement

Key limiting evidence that keeps certainty low.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biassome concerns
Precision of resultslow
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidenceinconsistent
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Better-measured exposure studies.

15. Linked fact checks