Evidence map›Paper›PMID 27765039›Full record

SynthesisNutrition journal2016

Dairy products intake and cancer mortality risk: a meta-analysis of 11 population-based cohort studies.

Wei Lu, Hanwen Chen, Yuequn Niu, Han Wu, Dajing Xia, Yihua Wu

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Nutrition journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 15 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 15 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Exposure to outdoor air pollution at different periods and the risk of leukemia: a meta-analysis.Environmental science and pollution research international · 2021
    Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wei LuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Hanwen ChenDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Yuequn NiuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Han WuThe Second Affiliated Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Dajing XiaDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China. dxia@zju.edu.cn.
Yihua WuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China. georgewuer@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDairy products are major components of daily diet and the association between consumption of dairy products and public health issues has captured great attention. In this study, we conducted a meta-analysis to investigate the association between dairy products intake and cancer mortality risk.

methodsAfter a literature search in PubMed and EMBASE, 11 population-based cohort studies involving 778,929 individuals were considered eligible and included in the analyses. Data were extracted and the association between dairy products intake and cancer mortality risk was estimated by calculating pooled relative risks (RRs) and corresponding 95 % confidence intervals (CIs). Sensitivity analyses and subgroup analyses based on regions, genders and dairy types were performed as well. Potential dose-response relationship was further explored by adopting the generalized least squares (GLST) method.

resultsTotal dairy products intake was not associated with all cancer mortality risk, with the pooled RR of 0.99 (95 % CI 0.92-1.07, p = 0.893). Subgroup analyses showed that the pooled RRs were 0.97 (95 % CI 0.92-1.03, p = 0.314) for milk, 0.88 (95 % CI 0.71-1.10, p = 0.271) for yogurt, 1.23 (95 % CI 0.94-1.61, p = 0.127) for cheese and 1.13 (95 % CI 0.89-1.44, p = 0.317) for butter in male and female, however the pooled RR was 1.50 (95 % CI 1.03-2.17, p = 0.032) for whole milk in male, which was limited to prostate cancer. Further dose-response analyses were performed and we found that increase of whole milk (serving/day) induced elevated prostate cancer mortality risk significantly, with the RR of 1.43 (95 % CI 1.13-1.81, p = 0.003).

conclusionsTotal dairy products intake have no significant impact on increased all cancer mortality risk, while low total dairy intake even reduced relative risk based on the non-linear model. However, whole milk intake in men contributed to elevated prostate cancer mortality risk significantly. Furthermore, a linear dose-response relationship existed between increase of whole milk intake and increase of prostate cancer mortality risk.

Indexed as

AdultAgedAged, 80 and overAnimalsCheeseCohort StudiesDairy ProductsDietFemaleHumansMaleMiddle AgedMilkNeoplasmsProstatic NeoplasmsRiskCancerDairy productsDose–responseMeta-analysisMortality risk

Identifiers

PMID27765039
PMCPMC5073921

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.