Evidence map›Paper›PMID 38429859›Full record

ArticleInternational journal of cancer2024

Healthy dietary patterns and risk of prostate cancer in men at high genetic risk.

Yiwen Zhang, Konrad H Stopsack, Mingyang Song, Lorelei A Mucci, Binkai Liu, Kathryn L Penney, Fred K Tabung, Edward Giovannucci, Anna Plym

Open access · greenAbstract read
In one paragraph

Article in International journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

9 authors at 4 institutions in 2 countries.

Yiwen ZhangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-1193-2263
Konrad H StopsackDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-0722-1311
Mingyang SongDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-1324-0316
Lorelei A MucciDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Binkai LiuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Kathryn L PenneyDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Fred K TabungDivision of Medicine Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, Ohio, USA.
Edward GiovannucciDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Anna PlymDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Harvard University · USBrigham and Women's Hospital · USAmerican Cancer Society · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
NCI NIH HHS P30 CA016058NCI NIH HHS U01 CA167552
6 · The paper itself

Abstract

Prostate cancer has high heritability. Healthy lifestyle has been associated with lower lethal prostate cancer risk among men at increased genetic susceptibility, but the role of healthy dietary patterns remains unknown. We prospectively followed 10,269 genotyped men in the Health Professionals Follow-up Study (1993-2019). Genetic risk was quantified using an established polygenic risk score (PRS). Five dietary patterns were investigated: healthy eating index, Mediterranean, diabetes risk-reducing, hyperinsulinemic and inflammatory diet. Overall and lethal prostate cancer rates (metastatic disease/prostate cancer-specific death) were analyzed using multivariable Cox proportional hazards models. During 26 years of follow-up, 2133 overall and 253 lethal prostate cancer events were documented. In the highest PRS quartile, higher adherence to a diabetes risk-reducing diet was associated with lower rates of overall (top vs. bottom quintile HR [95% CI], 0.74 [0.58-0.94]) and lethal prostate cancer (0.43 [0.21-0.88]). A low insulinemic diet was associated with similar lower rates (overall, 0.76 [0.60-0.95]; lethal, 0.46 [0.23-0.94]). Other dietary patterns showed weaker, but similar associations. In the highest PRS quartile, men with healthy lifestyles based on body weight, physical activity, and low insulinemic diet had a substantially lower rate (0.26 [0.13-0.49]) of lethal prostate cancer compared with men with unhealthy lifestyles, translating to a lifetime risk of 3.4% (95% CI, 2.3%-5.0%) among those with healthy lifestyles and 9.5% (5.3%-16.7%) among those with unhealthy lifestyles. Our findings indicate that lifestyle modifications lowering insulin resistance and chronic hyperinsulinemia could be relevant in preventing aggressive prostate cancer among men genetically predisposed to prostate cancer.

Indexed as

Diet, HealthyGenetic Predisposition to DiseaseProstatic NeoplasmsAdultAgedDiet, MediterraneanFollow-Up StudiesHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factorsdietary patternhealthy lifestylepolygenic riskprostate cancer

Identifiers

PMID38429859
PMCPMC11068494
OpenAlexW4392345543

What OpenQuestion holds

Textmetadata
LicenceTDM
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.