Evidence map›Paper›PMID 29268567›Full record

ArticleCancer research and treatment2018

Lifestyle Risk Prediction Model for Prostate Cancer in a Korean Population.

Sung Han Kim, Sohee Kim, Jae Young Joung, Whi-An Kwon, Ho Kyung Seo, Jinsoo Chung, Byung-Ho Nam, Kang Hyun Lee

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Lifestyles, health habits, and prostate cancer.Journal of cancer research and clinical oncology · 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

8 authors at 2 institutions in 1 country.

Sung Han KimCenter for Prostate Cancer, National Cancer Center, Goyang, Korea.
Sohee KimBiometrics Branch, Research Institute, National Cancer Center, Goyang, Korea.
Jae Young JoungCenter for Prostate Cancer, National Cancer Center, Goyang, Korea.
Whi-An KwonDepartment of Urology, Institute of Wonkwang Medical Science, Wonkwang University Sanbon Hospital, Wonkwang University School of Medicine, Gunpo, Korea.
Ho Kyung SeoCenter for Prostate Cancer, National Cancer Center, Goyang, Korea.
Jinsoo ChungCenter for Prostate Cancer, National Cancer Center, Goyang, Korea.
Byung-Ho NamDepartment of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.
Kang Hyun LeeCenter for Prostate Cancer, National Cancer Center, Goyang, Korea.
National Cancer Center · KRWonkwang University · KR

Funding

National Cancer Center 1410240-3
6 · The paper itself

Abstract

purposeThe use of prostate-specific antigen as a biomarker for prostate cancer (PC) has been controversial and is, therefore, not used by many countries in their national health screening programs. The biological characteristics of PC in East Asians including Koreans and Japanese are different from those in the Western populations. Potential lifestyle risk factors for PC were evaluated with the aim of developing a risk prediction model. MATERIALS AND

methodsA total of 1,179,172 Korean men who were cancer free from 1996 to 1997, had taken a physical examination, and completed a lifestyle questionnaire, were enrolled in our study to predict their risk for PC for the next eight years, using the Cox proportional hazards model. The model's performance was evaluated using the C-statistic and Hosmer‒Lemeshow type chi-square statistics.

resultsThe risk prediction model studied age, height, body mass index, glucose levels, family history of cancer, the frequency of meat consumption, alcohol consumption, smoking status, and physical activity, which were all significant risk factors in a univariate analysis. The model performed very well (C statistic, 0.887; 95% confidence interval, 0.879 to 0.895) and estimated an elevated PC risk in patients who did not consume alcohol or smoke, compared to heavy alcohol consumers (hazard ratio [HR], 0.78) and current smokers (HR, 0.73) (p < 0.001).

conclusionThis model can be used for identifying Korean and other East Asian men who are at a high risk for developing PC, as well as for cancer screening and developing preventive health strategies.

Indexed as

AdultCohort StudiesEarly Detection of CancerHumansLife StyleMaleMiddle AgedProportional Hazards ModelsProstatic NeoplasmsRepublic of KoreaRisk FactorsSurveys and QuestionnairesDecision aidsForecastingLife styleProstate neoplasms

Identifiers

PMID29268567
PMCPMC6192929
OpenAlexW2780361835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.