Evidence map›Paper›PMID 42416258›Full record

ArticleInternational journal of public health2026

Concurrent utilisation of cancer screening tests in the general population aged 50-69: an analysis of the 2017 Swiss Health Survey.

Audrey Butty Dettwiler, Jessica Nakiyingi-Miiro, Jean-Luc Bulliard

Abstract read
In one paragraph

Article in International journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

3 authors.

Audrey Butty DettwilerDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.
Jessica Nakiyingi-MiiroLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Jean-Luc BulliardDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study assessed the extent and factors of concurrent utilisation of cancer screenings in Switzerland. Methods: Data from the 2017 Swiss Health Survey, representing 1,091,813 females and 1,072,940 males aged 50-69, were analysed. Weighted descriptive analyses estimated sex-specific proportions of individuals concurrently up to date with recommended screening for cervical, breast, colorectal, prostate and skin cancer. Multivariable binomial weighted logistic regressions examined associations between concurrent utilisation and sociodemographic, lifestyle, health, health services utilisation, security and social support factors. Results: Approximately one in three Swiss residents were concurrent screening users. Concurrent utilisation increased with age and frequent medical visits. Among females, concurrent utilisation was positively associated with living in French- or Italian-speaking Switzerland and having tertiary education, and negatively associated with being divorced, separated or widowed, and with non-European origin. Among males, concurrent utilisation was positively associated with income, and negatively associated with unhealthy lifestyles, low health concern, and higher health insurance deductibles. Conclusion: Further research is needed to clarify the factors underlying differences in screening behaviours. Given the temporal instability of these behaviours, the findings should be interpreted cautiously.

Indexed as

Early Detection of CancerNeoplasmsPatient Acceptance of Health CareAgedFemaleHealth SurveysHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsSwitzerlandcancer screeningconcurrent utilisationfactorspopulation-basedscreening uptake

Identifiers

PMID42416258
PMCPMC13337518

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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.