Evidence map›Paper›PMID 31601987›Full record

ArticleScientific reports2019

Association of Microcalcification Clusters with Short-term Invasive Breast Cancer Risk and Breast Cancer Risk Factors.

Maya Alsheh Ali, Kamila Czene, Per Hall, Keith Humphreys

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
3.3field-weighted citation impact, top 6% 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, 38 citations in OpenAlex.

  1. Elucidating cooperative genetic events in DCIS progression in mutantProceedings of the National Academy of Sciences of the United States of America · 2026
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  10. A 2,7-dichlorofluorescein derivative to monitor microcalcifications.Molecular systems design & engineering · 2022
    Article
  11. Review
  12. Article
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  14. Predictors of mammographic microcalcifications.International journal of cancer · 2021
    Article
  15. Review
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

4 authors at 1 institution in 1 country.

Maya Alsheh AliDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. maya.alsheh.ali@ki.se.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SE

Funding

PHYSICIAN-INVESTIGATOR DEVELOPMENT AWARD PROGRAMK08CA001245 · NCI · UNIVERSITY OF LOUISVILLE · PI HEUSER, LOUIS S · 1986 to 1986
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6 · The paper itself

Abstract

Using for-presentation and for-processing digital mammograms, the presence of microcalcifications has been shown to be associated with short-term risk of breast cancer. In a previous article we developed an algorithm for microcalcification cluster detection from for-presentation digital mammograms. Here, we focus on digitised mammograms and use a three-step algorithm. In total, 253 incident invasive breast cancer cases (with a negative mammogram between three months and two years before diagnosis, from which we measured microcalcifications) and 728 controls (also with prior mammograms) were included in a short-term risk study. After adjusting for potential confounding variables, we found evidence of an association between the number of microcalcification clusters and short-term (within 3-24 months) invasive breast cancer risk (per cluster OR = 1.30, 95% CI = (1.11, 1.53)). Using the 728 postmenopausal healthy controls, we also examined association of microcalcification clusters with reproductive factors and other established breast cancer risk factors. Age was positively associated with the presence of microcalcification clusters (p = 4 × 10

Indexed as

MammographyAgedAlgorithmsBody Mass IndexBreast NeoplasmsCalcinosisCarcinoma, Ductal, BreastFemaleHumansMiddle AgedPattern Recognition, AutomatedPostmenopauseRadiographic Image Interpretation, Computer-AssistedRegression AnalysisRisk Factors

Identifiers

PMID31601987
PMCPMC6787239
OpenAlexW2979479978

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.