Evidence map›Paper›PMID 25989803›Full record

ArticleCancer research and treatment2016

Age-Period-Cohort Analysis of Female Breast Cancer Mortality in Korea.

Yunhee Choi, Yeonju Kim, Sue K Park, Hai-Rim Shin, Keun-Young Yoo

Abstract read
In one paragraph

Article in Cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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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

7 citing papers in PubMed.

  1. Article
  2. Article
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  4. Validating Breast Cancer Risk Prediction Models in the Korean Cancer Prevention Study-II Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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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

5 authors.

Yunhee ChoiDivision of Medical Statistics, Medical Research Collaborating Center, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Yeonju KimIndependent Researcher, Seoul National University College of Medicine, Seoul, Korea.
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea ; Department of Biomedical Science, Seoul National University Graduate School, Seoul, Korea ; Cancer Research Institute, Seoul National University, Seoul, Korea.
Hai-Rim ShinDivision of Cancer Registration and Surveillance, National Cancer Center, Goyang, Korea.
Keun-Young YooDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite the low mortality rate of breast cancer among women in Korea, the breast cancer mortality rate has increased. The aim of this study was to examine trends in breast cancer mortality from 1983 to 2012 in Korea, assessing the importance of age, period, and birth cohort as risk factors. MATERIALS AND

methodsData on the annual number of deaths due to female breast cancer and on female population statistics from 1983 to 2012 were obtained from Statistics Korea. A log-linear Poisson age-period-cohort model was used to estimate age, period, and cohort effects.

resultsThe increasing breast cancer mortality can be explained predominantly by a birth cohort effect: the risk of breast cancer death showed a steady increase until the 1968 birth cohort, and decreased thereafter. There was a sharp increase in the magnitude of the age effect up to 60 years old, then a moderate increase in the effect during the sixties, followed by another sharp increase from 70 years old. The period effect on breast cancer mortality seems negligible based on its adjusted relative risk, even though it was statistically significant after adjusting for age and cohort effects.

conclusionIn this study, the mortality pattern of breast cancer in Korea can be explained predominantly by a birth cohort effect. Hence, the overall mortality rate of breast cancer may increase for a while, and show a gradual decrease in the future, which will start from the younger age group.

Indexed as

AdultAgedBreast NeoplasmsCohort EffectCohort StudiesFemaleForecastingHumansIncidenceMiddle AgedRepublic of KoreaRisk FactorsYoung AdultBreast neoplasmsCohort effectDeathLinear models

Identifiers

PMID25989803
PMCPMC4720099

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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.