Evidence map›Paper›PMID 32949149›Full record

ArticleInternational journal of cancer2021

Predictors of mammographic microcalcifications.

Shadi Azam, Mikael Eriksson, Arvid Sjölander, Marike Gabrielson, Roxanna Hellgren, Kamila Czene, Per Hall

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Predictors of mammographic microcalcifications.International journal of cancer · 2021
    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

7 authors at 2 institutions in 1 country.

Shadi AzamDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-3273-1970
Mikael ErikssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Arvid SjölanderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Marike GabrielsonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Roxanna HellgrenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Karolinska Institutet · SEMalmö University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the association between established risk factors for breast cancer and microcalcification clusters and their asymmetry. A cohort study of 53 273 Swedish women aged 30 to 80 years, with comprehensive information on breast cancer risk factors and mammograms, was conducted. Total number of microcalcification clusters and the average mammographic density area were measured using a Computer Aided Detection system and the STRATUS method, respectively. A polygenic risk score for breast cancer, including 313 single nucleotide polymorphisms, was calculated for those women genotyped (N = 7387). Odds ratios (ORs) and 95% confidence intervals (CIs), with adjustment for potential confounders, were estimated. Age was strongly associated with microcalcification clusters. Both high mammographic density (>40 cm

Indexed as

AdultAgedAged, 80 and overBreast DiseasesCalcinosisFemaleHumansLife StyleMammographyMiddle AgedPolymorphism, Single NucleotideProspective StudiesRisk Factorscohort studymammographic featuremammographic microcalcifications

Identifiers

PMID32949149
PMCPMC7821182
OpenAlexW3087706330

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.