Evidence map›Paper›PMID 31252599›Full record

ArticleInternational journal of environmental research and public health2019

Mapping Variation in Breast Cancer Screening: Where to Intervene?

Cindy M Padilla, François Painblanc, Patricia Soler-Michel, Veronica M Vieira

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Cindy M PadillaUniversité Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)-EA 7449 Rennes, France. cindy.padilla@ehesp.fr.ORCID 0000-0001-6673-7847
François PainblancUniversité Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)-EA 7449 Rennes, France.
Patricia Soler-MichelCentre régional de coordination des dépistages des cancers Auvergne Rhône Alpes, 5 bis, rue Cléberg, 69322 Lyon CEDEX 05, France.ORCID 0000-0002-9278-5962
Veronica M VieiraProgram in Public Health, University of California, Irvine, CA 92697, USA.
École des Hautes Études en Santé Publique · FRUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small geographic areas with lower mammography screening participation rates may reflect gaps in screening efforts. Our objective was to use spatial analyses to understand disparities in mammography screening use and to identify factors to increase its uptake in areas that need it in Lyon metropolitan area, France. Data for screened women between the ages of 50 and 74 were analyzed. Census blocks of screened and non screened women were extracted from the mammography screening programme 2015-2016 dataset. We used spatial regression models, within a generalized additive framework to determine clusters of census blocks with significantly higher prevalence of non-participation of mammography screening. Smoothed risk maps were crude and adjusted on the following covariates: deprivation index and opportunistic screening. Among 178,002 women aged 50 to 74, 49.9% received mammography screening. As hypothesized, women living in highly deprived census blocks had lower participation rates compared to less deprived blocks, 45.2% vs. 51.4%

Indexed as

AgedBreast NeoplasmsEarly Detection of CancerFemaleFranceGeographyHumansMammographyMass ScreeningMiddle AgedRisk Factorsbreast cancermammography screeningmappingopportunistic screeningsocioeconomic inequalitiesspatial variation

Identifiers

PMID31252599
PMCPMC6651541
OpenAlexW2954271746

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.