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Eggs and hormone-related cancers: meta-analysis

Egg intake and cancers of the breast, ovary and prostate: a dose-response meta-analysis of prospective observational studies.

Overview

Keum N et al.. Br J Nutr 2015 · PMID 26293984 · DOI 10.1017/S0007114515002135

A possible link with fatal prostate cancer, but small studies may exaggerate it; no link with prostate cancer overall.

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?

Egg intake and sex-hormone-related cancers

How was the study done?

Dose-response meta-analysis of prospective studies

How many people, animals or samples were studied?

18 prospective publications: breast 16,023 cases, ovarian 2,636, total prostate 3,655, fatal prostate 609

What was actually found?

Per 5 eggs/week: fatal prostate cancer RR 1.47 (1.01-2.14) from 4 studies, with signs of publication bias and not significant under an alternative assumption (1.23, 0.97-1.55); total prostate cancer 1.00 (0.88-1.14); breast 1.05 (0.99-1.11); ovarian 1.09 (0.96-1.24).

How large was the observed effect?

Random effects; Egger test

What do the results mean in everyday life?

Not established; keep in perspective.

What are the study's limitations?

Only 4 studies and 609 cases for fatal prostate cancer; publication-bias signal; no quality assessment of included studies; several studies age-adjusted only; includes the Richman 2011 cohort.

What does it say about Elawady's specific claim?

Mixed.

Do the results apply to Germany and Europe?

Moderate.

What can explicitly not be concluded from this study?

Cannot prove causation.

Scientific in-depth review

1. Full reference

Authors
Keum N et al.
Journal
Br J Nutr
Year
2015
Identifier
PMID 26293984 DOI 10.1017/S0007114515002135
Verification
verified – PubMed efetch 2026-10-25
Retracted
no
Corrections
none
Extent checked
full text
Conflicts of interest and funding

Authors declare no conflicts of interest; no funding statement found in the retrieved text.

2. Research question

Egg intake and sex-hormone-related cancers

3. Study design and population

Study design
Meta-analysis – Systematic literature search with linear (Greenland-Longnecker) and non-linear (restricted cubic spline) random-effects dose-response meta-analysis of prospective observational studies
Population

Participants of prospective cohorts, nested case-control/case-cohort and pooled cohort studies (North America, Europe, Asia)

Country

Multinational

Period

PubMed and Embase searched to April 2015

Sample size

18 publications (2 pooled studies): breast 6 (16,023 cases), ovarian 2 (2,636 cases), total prostate 6 (3,655 cases), fatal prostate 4 (609 cases)

Inclusion and exclusion criteria

Prospective observational or pooled studies of egg intake and incidence of breast, prostate (total, fatal) or gynaecological cancers with >=3 exposure categories or a linear estimate; English language only; abstracts/unpublished excluded; retrospective case-control excluded. 7,378 records screened; 67 full texts excluded with reasons in flow chart.

4. Methods and endpoints

Exposure / intervention

Egg intake

Comparator

per 5 eggs/week

Endpoints

Breast, ovarian, prostate (total and fatal) cancer

Statistical methods

DerSimonian-Laird random effects; RR per 5 eggs/week; spline models when >=5 studies; Cochran Q and I2; Egger's test and funnel plots; leave-one-out and serving-size (1 vs 2 eggs) sensitivity analyses; no subgroup/meta-regression; no formal risk-of-bias tool for individual studies.

5. Actual results

Results

Breast: RR 1.05 (0.99-1.11) per 5 eggs/week, I2 0%, P Egger 0.62; non-linear: 1.04 (1.01-1.07) at 5 eggs/week and 1.09 (1.03-1.15) at ~9 eggs/week vs none. Ovarian: 1.09 (0.96-1.24), I2 3%. Total prostate: 1.00 (0.88-1.14), I2 0%, P Egger 0.72. Fatal prostate (4 studies incl. Richman 2011 = A-EGG-11): 1.47 (1.01-2.14), I2 40%, P Egger 0.04 (smaller studies show stronger associations); assuming 2 eggs per serving for 3 studies attenuated it to 1.23 (0.97-1.55), I2 70%.

Absolute risks

not reported in full text

Authors' conclusion

Conclusion tempered by possible publication bias and confounding; positive association with fatal prostate cancer cannot be ruled out.

6. Strengths

  • Dose-response modelling (linear and non-linear) rather than high-vs-low only
  • Prospective designs only, reducing recall bias
  • Independent triple screening/extraction; sensitivity analyses on serving-size assumptions

7. Weaknesses

  • Fatal prostate estimate based on only 4 studies and 609 cases, with small-study effects (P Egger 0.04)
  • Fatal prostate association loses significance under the alternative serving-size assumption (RR 1.23, 0.97-1.55)
  • Three prostate studies adjusted for age only; no formal study-level risk-of-bias assessment
  • English-only search of two databases; no protocol registration reported
  • Mostly single baseline diet measurements; confounding by foods eaten with eggs acknowledged
  • Includes the archive-cited Richman 2011 cohort, so it is not independent confirmation of that result

8. Risk of bias

Orienting tool
AMSTAR 2
Type of assessment
structured assessment based on the full text by a single reviewer (no formal double review)
Full formal assessment
no
Overall risk of bias
high
Rationale

AMSTAR 2 overall confidence: critically low (critical flaws in items 2 and 9). Overall raised from some_concerns (abstract-based) to high. Single-reviewer structured judgement; a formal assessment needs two independent reviewers.

8. Risk of bias
DomainJudgementRationale
1 PICO componentslowClear exposure, outcomes and designs.
2 Protocol established a priori (critical)highNo registered or published protocol reported; MOOSE guidelines followed.
3 Explanation of included designslowRestriction to prospective designs justified.
4 Comprehensive search (critical)some concernsPubMed and Embase plus reference lists; English only; no grey literature.
5 Duplicate selectionlowThree authors independently.
6 Duplicate extractionlowThree authors independently.
7 List of excluded studies with reasons (critical)some concernsFlow chart gives exclusion categories (67 excluded), not an itemised list.
8 Description of included studieslowSupplementary table of study characteristics.
9 Risk of bias of individual studies (critical)highNo study-level quality/RoB tool applied; only adjustment status noted.
10 Funding of included studieshighNot reported.
11 Appropriate meta-analytic methods (critical)lowStandard dose-response methods with random effects.
12 Impact of RoB on resultshighNot assessed (no RoB tool).
13 RoB considered in interpretation (critical)some concernsConfounding and small-study effects acknowledged; conclusions tempered.
14 Heterogeneity explainedsome concernsLow heterogeneity mostly; no subgroup analyses possible.
15 Publication bias (critical)lowEgger tests and funnel plots reported; signal for fatal prostate cancer disclosed.
16 Conflicts of interest of reviewsome concernsNo conflicts declared; funding not stated in retrieved text.

Full-text review (25 October 2026): Added search/selection details, study counts per cancer, total prostate RR 1.00 (0.88-1.14), fatal prostate sensitivity RR 1.23 (0.97-1.55), I2 values, absence of study-level RoB and protocol, overlap with A-EGG-11; AMSTAR 2 itemised, overall some_concerns -> high.

9. Assessment of the statistical interpretation

The fatal prostate RR has a lower bound barely above 1, is sensitive to analytic assumptions and shows publication-bias signals; the total prostate cancer estimate is precisely null. The breast cancer signal is small (4-9%).

10. Relevance to the specific claim

C-EGG-06.

11. Independent contrary findings

No total prostate cancer association.

12. Transferability to Germany and Europe

Moderate.

13. Overall methodological judgement

Weak, assumption-sensitive signal for fatal prostate cancer, no association with total prostate cancer, and small non-significant or marginal associations for breast and ovarian cancer. Insufficient to establish that eggs cause lethal prostate cancer.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitylow
Risk of biashigh
Precision of resultslow
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Larger prospective studies with repeated diet measures and aggressive-prostate-cancer endpoints; confounding by dietary pattern.

15. Linked fact checks