Evidence map›Paper›PMID 39410616›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Assessment of the Breast Density Prevalence in Swiss Women with a Deep Convolutional Neural Network: A Cross-Sectional Study.

Adergicia V Kaiser, Daniela Zanolin-Purin, Natalie Chuck, Jennifer Enaux, Daniela Wruk

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Adergicia V KaiserFaculty of Medical Sciences, Private University in the Principality of Liechtenstein (UFL), 9495 Triesen, Liechtenstein.ORCID 0000-0003-3254-8989
Daniela Zanolin-PurinFaculty of Medical Sciences, Private University in the Principality of Liechtenstein (UFL), 9495 Triesen, Liechtenstein.ORCID 0009-0000-1530-016X
Natalie ChuckSt. Gallen Radiology Network, Cantonal Hospital of St. Gallen, 9007 St. Gallen, Switzerland.ORCID 0009-0001-8884-3875
Jennifer EnauxFaculty of Medical Sciences, Private University in the Principality of Liechtenstein (UFL), 9495 Triesen, Liechtenstein.ORCID 0000-0002-5267-6753
Daniela WrukSt. Gallen Radiology Network, Cantonal Hospital of St. Gallen, 9007 St. Gallen, Switzerland.

Funding

Maiores Foundation, Vaduz, Liechtenstein N/A
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast density assessmentbreast density distributiondeep convolutional neural networkprevalence of dense breastsSwiss population

Identifiers

PMID39410616
PMCPMC11476330

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.