Meta-analysisindependent cross-checkabstract checked I-DRY-111 standard review

Ovarian cancer and dairy: mixed signals

Effects of dairy products, calcium and vitamin D on ovarian cancer risk: a meta-analysis of twenty-nine epidemiological studies.

Overview

Liao MQ et al.. Br J Nutr 2020 · PMID 32189606 · DOI 10.1017/S0007114520001075

Whole milk linked to higher risk (RR 1.35), low-fat milk and cheese to lower risk.

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

Original publication

Plain-language summary

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

Summarise dairy and ovarian cancer studies.

How was the study done?

Meta-analysis.

How many people, animals or samples were studied?

29 studies.

What was actually found?

Mixed: whole milk up, low-fat milk and cheese down.

How large was the observed effect?

Total dairy RR 1.03 per 100 g/day.

What do the results mean in everyday life?

No clear message that dairy causes ovarian cancer.

What are the study's limitations?

Mixed designs; possible bias.

What does it say about Elawady's specific claim?

Partly supports, partly contradicts.

Do the results apply to Germany and Europe?

Applicable.

What can explicitly not be concluded from this study?

Cannot prove any causal effect.

Scientific in-depth review

1. Full reference

Authors
Liao MQ et al.
Journal
Br J Nutr
Year
2020
Identifier
PMID 32189606 DOI 10.1017/S0007114520001075
Verification
verified – PubMed efetch 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

not stated in abstract

2. Research question

Are dairy, calcium and vitamin D associated with ovarian cancer?

3. Study design and population

Study design
Meta-analysis – Systematic review and meta-analysis of case-control and cohort studies (5 databases to 24 Dec 2019)
Population

Women in 29 studies

Country

Multinational

Period

to 2019

Sample size

29 studies

Inclusion and exclusion criteria

Case-control or cohort studies

4. Methods and endpoints

Exposure / intervention

Dairy types, calcium, vitamin D

Comparator

Lowest intake

Endpoints

Ovarian cancer

Statistical methods

Pooled RR, high v low and per 100 g/d

5. Actual results

Results

High v low: whole milk RR 1.35 (1.15-1.59); low-fat milk 0.84 (0.73-0.96); dietary calcium 0.71 (0.60-0.84); dietary vitamin D 0.80 (0.67-0.95). Per 100 g/d: total dairy 1.03 (1.01-1.04); whole milk 1.07 (1.03-1.11); low-fat milk 0.95 (0.91-0.99); cheese 0.87 (0.76-0.98).

Absolute risks

not reported

Authors' conclusion

Whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary calcium and vitamin D might reduce the risk.

6. Strengths

  • Many studies
  • Type-specific analyses

7. Weaknesses

  • Mixes case-control (recall bias) and cohort
  • Opposite directions for similar foods suggest confounding
  • Abstract only

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

Design mixing; heterogeneity not in abstract.

9. Assessment of the statistical interpretation

Per 100 g/d total dairy RR 1.03 is very small; the cheese estimate points the other way.

10. Relevance to the specific claim

Partly supports a whole-milk association, but low-fat milk and cheese were inversely associated, so dairy as a whole is not shown to cause ovarian cancer.

11. Independent contrary findings

A-DRY-05 (pooled cohorts: no association for dairy foods).

12. Transferability to Germany and Europe

Mostly Western populations.

13. Overall methodological judgement

Inconsistent, low-certainty evidence; does not support a general claim.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitylow
Risk of biassome concerns
Precision of resultsmoderate
Directnessdirect
Reproducibilityunknown
Consistency with the overall evidenceinconsistent
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Cohort-only analyses.

15. Linked fact checks