Evidence map›Paper›PMID 27951629›Full record

SynthesisJournal of preventive medicine and public health = Yebang Uihakhoe chi2016

Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies.

Jong-Myon Bae, Eun Hee Kim

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

2 authors.

Jong-Myon BaeDepartment of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea.ORCID 0000-0003-3080-7852
Eun Hee KimDepartment of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea.ORCID 0000-0002-1065-1080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women.

methodsPubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted.

resultsSix analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; I

conclusionsIn Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women.

Indexed as

Asian PeopleBreast DensityBreast NeoplasmsDatabases, FactualFemaleHumansMammographyPostmenopauseRisk FactorsBreast neoplasmsMammographyMeta-analysisRisk factors

Identifiers

PMID27951629
PMCPMC5160133

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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.