Evidence map›Paper›PMID 30787682›Full record

ArticleJournal of Korean medical science2019

Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study.

Jong Wook Kim, Sun Tae Ahn, Mi Mi Oh, Du Geon Moon, Kyungdo Han, Hong Seok Park

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Prostate Cancer Mortality in Peru: An Update from 2003 to 2017.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  13. Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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.

Jong Wook KimDepartment of Urology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2228-0640
Sun Tae AhnDepartment of Urology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1233-5951
Mi Mi OhDepartment of Urology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1232-2598
Du Geon MoonDepartment of Urology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9031-9845
Kyungdo HanDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-6096-1263
Hong Seok ParkDepartment of Urology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7287-2682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea.

methodsA total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with prostate cancer were analyzed. Normal-weight and obesity were defined as body mass index (BMI) < 25 kg/m

resultsDuring a mean 5.4 ± 1.1 years of follow-up, 56,552 patients were registered with a diagnosis of prostate cancer. When analyzed according to metabolic health status classification, the multivariable-adjusted hazard ratio (HR) was 1.143 for the MONW group, 1.097 for the MHO group, showing the HR for the MONW group was higher than that for the MHO group. As the number of metabolic syndrome components increased, HR increased significantly. When stratified based on BMI, metabolically obese patients showed significantly higher HR than metabolically healthy patients in all BMI groups.

conclusionThis population-based nationwide study revealed an association between metabolic health status and the incidence of prostate cancer, and the risk increased according to the number of components of the metabolic syndrome.

Indexed as

AdultAgedBody Mass IndexCohort StudiesDatabases, FactualFollow-Up StudiesHumansIncidenceKaplan-Meier EstimateMaleMetabolic SyndromeMiddle AgedObesityProportional Hazards ModelsProstatic NeoplasmsRepublic of KoreaMetabolically Healthy ObeseMetabolically Obese Normal WeightMetabolic HealthObesityProstate Cancer

Identifiers

PMID30787682
PMCPMC6374548

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Registered trials

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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.