Evidence map›Paper›PMID 29352164›Full record

ArticleScientific reports2018

Determinants of breast size in Asian women.

Li Yan Lim, Peh Joo Ho, Jenny Liu, Wen Yee Chay, Min-Han Tan, Mikael Hartman, Jingmei Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% 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, 29 citations in OpenAlex.

  1. Postoperative Outcomes After Breast Reduction: Do Racial Disparities Exist?Journal of racial and ethnic health disparities · 2026
    Article
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  3. Truth or Myth: Is Breast Implant Illness Really an Illness?Plastic and reconstructive surgery. Global open · 2025
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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

7 authors at 3 institutions in 1 country.

Li Yan LimDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Peh Joo HoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3017-4023
Jenny LiuSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Wen Yee ChayNational Cancer Centre, Singapore, Singapore.
Min-Han TanNational Cancer Centre, Singapore, Singapore.
Mikael HartmanDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jingmei LiDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. lijm1@gis.a-star.edu.sg.
National University of Singapore · SGInstitute of Bioengineering and Nanotechnology · SGNational Cancer Centre Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast size as a risk factor of breast cancer has been studied extensively with inconclusive results. Here we examined the associations between breast size and breast cancer risk factors in 24,353 Asian women aged 50 to 64 years old enrolled in a nationwide mammography screening project conducted between October 1994 and February 1997. Information on demographic and reproductive factors was obtained via a questionnaire. Breast size was ascertained as bust line measured at study recruitment and total breast area measured from a mammogram. The average bust line and total breast area was 91.2 cm and 102.3 cm

Indexed as

Asian PeopleAdultAgedBody Mass IndexBreastBreast DensityBreast NeoplasmsFemaleHumansMammographyMiddle AgedOrgan SizePopulation SurveillanceRisk FactorsSingapore

Identifiers

PMID29352164
PMCPMC5775321
OpenAlexW2782947867

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.