Evidence map›Paper›PMID 35193917›Full record

ArticleBMJ open2022

Social and territorial inequalities in breast and cervical cancers screening uptake: a cross-sectional study in France.

Lisa Ouanhnon, Marie-Eve Rougé Bugat, Sebastien Lamy, Vladimir Druel, Cyrille Delpierre, Pascale Grosclaude

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Which women go for screening?European journal of public health · 2025
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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

6 authors at 2 institutions in 1 country.

Lisa OuanhnonDUMG (Département Universitaire de Médecine Générale), Université Toulouse III Paul Sabatier, Toulouse, France lisa.ouanhnon@gmail.com.ORCID 0000-0003-3361-057X
Marie-Eve Rougé BugatDUMG (Département Universitaire de Médecine Générale), Université Toulouse III Paul Sabatier, Toulouse, France.
Sebastien LamyCERPOP, INSERM UMR_S 1027, Toulouse, France.
Vladimir DruelDUMG (Département Universitaire de Médecine Générale), Université Toulouse III Paul Sabatier, Toulouse, France.
Cyrille Delpierre *CERPOP, INSERM UMR_S 1027, Toulouse, France.
Pascale Grosclaude *CERPOP, INSERM UMR_S 1027, Toulouse, France.
Université Toulouse III - Paul Sabatier · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this cross-sectional study was to investigate the impact of socio-territorial characteristics on mammography and pap smear uptake according to the place of residence in the recommended age groups, and second outside the recommended age groups. SETTING AND

participantsWe used an existing dataset of 1 027 039 women which combines data from the Health Insurance information systems, with census data from Midi-Pyrénées, France. PRIMARY AND SECONDARY OUTCOME MEASURES: Our outcome was, for each woman, the uptake of the pap smear and the uptake of the mammography during the year.

resultsA social gradient of screening uptake was found in the recommended age groups. This gradient was stronger in large urban areas:(1) For mammography: decile 10 (the most deprived) vs 1 (the least deprived), adjusted OR 0.777, 95% CI (0.748 to 0.808) in large urban area; adjusted OR= 0.808 for decile 1 to 0.726 for decile 10 in other areas vs decile 1 in urban areas;(2) For pap smear: decile 10 vs 1 adjusted OR 0.66, 95%CI (0.642 to 0.679) in large urban areas; adjusted OR= 0.747 for decile 1 to 0.562 for decile 10 in other areas vs decile 1 in urban areas).Screening rates were globally higher in large urban areas.For mammography, the social and territorial disparities were higher outside the recommended age group.

conclusionsOffering a universal approach to every woman, as it is often the case in nationally organised screening programmes, is likely to be insufficient to ensure real equity in access. Developing global dataset combining health data and diverse socioeconomic data, at individual and contextual levels, could enable a better understanding of the mechanisms involved in this social gradient, and therefore, the development of targeted territorial actions to improve equity of access to healthcare.

Indexed as

Breast NeoplasmsUterine Cervical NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHumansMammographyMass ScreeningPapanicolaou TestSocioeconomic FactorsVaginal Smearsgeneral medicine (see internal medicine)gynaecological oncologyhealth policyorganisation of health servicespreventive medicinesocial medicine

Identifiers

PMID35193917
PMCPMC8867371
OpenAlexW4213384374

What OpenQuestion holds

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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.