Evidence map›Paper›PMID 34503184›Full record

ArticleCancers2021

Socio-Territorial Inequities in the French National Breast Cancer Screening Programme-A Cross-Sectional Multilevel Study.

Quentin Rollet, Élodie Guillaume, Ludivine Launay, Guy Launoy

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. 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
1.3field-weighted citation impact, top 17% 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, 20 citations in OpenAlex.

  1. Development of an intervention theory for a mobile mammography unit research project for breast cancer screening.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Trial
  2. Article
  3. A scoping review of multiple deprivation indices in Europe.European journal of public health · 2025
    Article
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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 1 institution in 1 country.

Quentin RolletCentre François Baclesse, U1086 "ANTICIPE" INSERM, University of Caen Normandie, 3, Avenue du Général Harris, 14000 Caen, France.ORCID 0000-0003-0648-6868
Élodie GuillaumeCentre François Baclesse, U1086 "ANTICIPE" INSERM, University of Caen Normandie, 3, Avenue du Général Harris, 14000 Caen, France.
Ludivine LaunayCentre François Baclesse, U1086 "ANTICIPE" INSERM, University of Caen Normandie, 3, Avenue du Général Harris, 14000 Caen, France.
Guy LaunoyCentre François Baclesse, U1086 "ANTICIPE" INSERM, University of Caen Normandie, 3, Avenue du Général Harris, 14000 Caen, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrance implemented in 2004 the French National Breast Cancer Screening Programme (FNBCSP). Despite national recommendations, this programme coexists with non-negligible opportunistic screening practices.

aimAnalyse socio-territorial inequities in the 2013-2014 FNBCSP campaign in a large sample of the eligible population.

methodAnalyses were performed using three-level hierarchical generalized linear model. Level one was a 10% random sample of the eligible population in each

resultsOrganized screening uptake increased with age (OR

conclusionFNBCSP does not erase socio-territorial inequities. The population the most at risk of dying from breast cancer is thus the less participating. More efforts are needed to improve equity.

Indexed as

breast neoplasmsearly detection of cancerhealth-care disparitiesopportunistic screeningorganized screening programmesocial deprivation

Identifiers

PMID34503184
PMCPMC8430540
OpenAlexW3181459324

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.