Evidence map›Paper›PMID 35111337›Full record

ArticleActa radiologica open2022

Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Ibrahim Hadadi, William Rae, Jillian Clarke, Mark McEntee, Ernest Ekpo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta radiologica open, 2022. 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
1.4field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

  1. Article
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  3. Review
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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 at 1 institution in 3 countries.

Ibrahim HadadiMedical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-2517-7465
William RaeMedical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Jillian ClarkeMedical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Mark McEnteeMedical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0001-7045-2190
Ernest EkpoMedical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of radiologists' characteristics has become a major focus of recent research. However, the markers of diagnostic efficacy and confidence in dense and non-dense breasts are poorly understood. PURPOSE: This study aims to assess the relationship between radiologists' characteristics and diagnostic performance across dense and non-dense breasts. MATERIALS AND

methodsRadiologists specialising in breast imaging (

resultsIn dense breasts, breast-imaging fellowship completion significantly improved specificity (

conclusionParticipating in screening programs, breast fellowships and reading > 100 mammograms weekly are important indicators of the diagnostic performance of radiologists across dense and non-dense breasts. In dense breasts, optimal performance resulted from participation in a breast screening program.

Indexed as

breast cancerbreast densityMammogram readersmammographyobserver performance

Identifiers

PMID35111337
PMCPMC8801646
OpenAlexW4210277283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.