Evidence map›Paper›PMID 32967208›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Risk of Breast Cancer Revealed by Mammographic Screening in Czech Women Aged 40-45 Years, a Monocentric Cohort Study.

Lívia Večeřová, Marek Petráš, Alexander M Čelko, Jolana Rambousková

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Lívia VečeřováThird Faculty of Medicine, Charles University, Ruská 87, 10000 Prague, Czech Republic.
Marek PetrášThird Faculty of Medicine, Charles University, Ruská 87, 10000 Prague, Czech Republic.ORCID 0000-0003-2913-1736
Alexander M ČelkoThird Faculty of Medicine, Charles University, Ruská 87, 10000 Prague, Czech Republic.ORCID 0000-0002-9031-055X
Jolana RambouskováThird Faculty of Medicine, Charles University, Ruská 87, 10000 Prague, Czech Republic.
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to evaluate breast cancer risk in women aged 40-45 years not included in the routine mammographic screening programme in the Czech Republic and to assess the suitability of the screening interval. Our cohort study was conducted using registry data of one mammography centre (Bulovka Hospital in Prague) between 1 January 2008 and 31 December 2017. The risk of breast cancer was evaluated using a positive predictive finding (PPF) corresponding to the Breast Imaging-Reporting and Data System (BI-RADS) scores of 4 and 5. The annual PPF incidence rate achieved 2.25 per 1000 women aged 40-45 years and was not significantly different from that (3.31) of women of 45-50 years of age as demonstrated by an adjusted hazard ratio of 0.75 (95% confidence interval: 0.42-1.33). It was found that a screening interval longer than 3 years increased the chance of PPF occurrence 1.7 times independently of the women's age, signalling a risk of failure of early detection of breast cancer. The same PPF incidence rates both in women aged 40-45 years and in older ones indicates that even younger women should be eligible for enrolment in the routine mammographic screening programme in the Czech Republic.

Indexed as

breast cancer riskdiagnostic imagingmammographymass screeningwomen’s groups

Identifiers

PMID32967208
PMCPMC7554746
OpenAlexW3087673352

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.