Evidence map›Paper›PMID 30656408›Full record

ArticleJournal of cancer research and clinical oncology2019

Effects of metabolic syndrome on the prevalence of prostate cancer: historical cohort study using the national health insurance service database.

Sangjun Yoo, Sohee Oh, Juhyun Park, Sung Yong Cho, Min Chul Cho, Hwancheol Son, Hyeon Jeong

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Association between metabolic syndrome and gastric cancer risk: results from the Health Examinees Study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Lifestyles, health habits, and prostate cancer.Journal of cancer research and clinical oncology · 2020
    Article
  15. PCaLiStDB: a lifestyle database for precision prevention of prostate cancer.Database : the journal of biological databases and curation · 2020
    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

7 authors at 2 institutions in 1 country.

Sangjun YooDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea.
Sohee OhDepartment of Biostatistics, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Juhyun ParkDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea.
Sung Yong ChoDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea.
Min Chul ChoDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea.
Hwancheol SonDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea.
Hyeon JeongDepartment of Urology, Seoul National University Boramae Medical Center, Sindaebang 2(i)-dong, Dongjak-gu, Seoul, 07061, Republic of Korea. drjeongh@gmail.com.ORCID http://orcid.org/0000-0002-0744-1402
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate the effect of metabolic syndrome (MetS) on the prevalence of prostate cancer using a large retrospective cohort with a 5-year follow-up duration.

methodsNational Health Insurance Service health checkup cohort was used for the study. In total, 130,342 men included in the health checkup cohort in 2009 were divided into two groups according to the presence of prostate cancer. The prevalence of prostate cancer from 2009 to 2013 was cumulatively calculated from 2003. A generalized estimating equation was used to assess the effect of MetS and its component on the prevalence of prostate cancer after adjusting for other variables.

resultsProstate cancer was present in 2369 men (1.8%) in 2009. The prevalence of prostate cancer was significantly higher in patients with MetS than in those without MetS throughout the entire follow-up duration. Multivariable analysis showed that in addition to year at evaluation and age, the presence of MetS was associated with an increased prevalence of prostate cancer. Alcohol consumption and smoking levels were negatively associated with the prevalence of prostate cancer. Among MetS components, decreased high density lipoprotein (HDL)-cholesterolemia and central obesity were associated with an increased prevalence of prostate cancer after adjusting for other variables.

conclusionMetS and its components, especially decreased HDL-cholesterol levels and central obesity, were related to the increased prevalence of prostate cancer. Preventing MetS, maintaining high HDL-cholesterol level, and maintaining low waist circumference might be useful ways for decreasing the prevalence of prostate cancer.

Indexed as

AdultAgedCohort StudiesDatabases as TopicHumansMaleMetabolic SyndromeMiddle AgedNational Health ProgramsPrevalenceProstatic NeoplasmsRepublic of KoreaCohort studiesDyslipidemiaMetabolic syndrome XProstate cancer

Identifiers

PMID30656408
PMCPMC11810400
OpenAlexW2909475248

What OpenQuestion holds

Textmetadata
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.