Meta-analysisindependent cross-checkabstract only checked I-DRY-06 standard review

Men with higher IGF-1 levels get prostate cancer somewhat more often

A Meta-analysis of Individual Participant Data Reveals an Association between Circulating Levels of IGF-I and Prostate Cancer Risk.

Overview

Travis RC et al.. Cancer Res 2016 · PMID 26921328 · DOI 10.1158/0008-5472.CAN-15-1551

Top vs bottom fifth: OR 1.29.

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

Original publication

Plain-language summary

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

IGF and prostate cancer.

How was the study done?

IPD meta-analysis.

How many people, animals or samples were studied?

10,554 cases.

What was actually found?

IGF-I associated.

How large was the observed effect?

OR 1.29 (1.16-1.43).

What do the results mean in everyday life?

A real but moderate link.

What are the study's limitations?

Does not test milk.

What does it say about Elawady's specific claim?

Supports mechanism half.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

That milk causes cancer.

Scientific in-depth review

1. Full reference

Authors
Travis RC et al.
Journal
Cancer Res
Year
2016
Identifier
PMID 26921328 DOI 10.1158/0008-5472.CAN-15-1551
Verification
verified – PubMed efetch 2026-10-25
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

Grants listed in PubMed: Cancer Research UK, NCI NIH HHS

2. Research question

Circulating IGFs and prostate cancer risk.

3. Study design and population

Study design
Meta-analysis – Individual participant data meta-analysis of 17 prospective and 2 cross-sectional studies.
Population

Men in 19 studies

Country

Multinational

Period

n/a

Sample size

Up to 10,554 cases and 13,618 controls

Inclusion and exclusion criteria

Studies with IGF measurements.

4. Methods and endpoints

Exposure / intervention

IGF-I, IGF-II, IGFBP-1/2/3

Comparator

Lowest fifth

Endpoints

Prostate cancer.

Statistical methods

Conditional logistic regression.

5. Actual results

Results

Prospective studies, highest vs lowest fifth: IGF-I OR 1.29 (1.16-1.43); IGFBP-1 0.81 (0.68-0.96); IGFBP-3 1.25 (1.12-1.40); after mutual adjustment only IGF-I remained associated.

Absolute risks

not reported

Authors' conclusion

Strong evidence that IGF-I is highly likely to be involved in prostate cancer development.

6. Strengths

  • IPD pooling
  • Prospective sera

7. Weaknesses

  • Does not address diet
  • Observational

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
low
Rationale

Strong observational design.

9. Assessment of the statistical interpretation

Moderate OR, precise.

10. Relevance to the specific claim

Supports the IGF-I-prostate cancer link (C-DRY-06, C-DRY-04).

11. Independent contrary findings

None.

12. Transferability to Germany and Europe

High.

13. Overall methodological judgement

Robust biomarker association.

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

14. Open questions

Diet contribution.

15. Linked fact checks