Evidence map›Paper›PMID 35198362›Full record

ArticlePreventive medicine reports2022

Socio-economic inequality of utilization of cancer testing in Europe: A cross-sectional study.

H Bozhar, M McKee, T Spadea, P Veerus, S Heinävaara, A Anttila, C Senore, N Zielonke, I M C M de Kok, N T van Ravesteyn and 4 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Impact of social determinants on the development, diagnosis, and treatment of cancer: recommended public health interventions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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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

14 authors.

H BozharErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
M McKeeLondon School of Hygiene and Tropical Medicine, London, UK.
T SpadeaEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (Turin), Italy.
P VeerusNational Institute for Health Development, Tallinn, Estonia.
S HeinävaaraFinnish Cancer Registry, Helsinki, Finland.
A AnttilaFinnish Cancer Registry, Helsinki, Finland.
C SenoreSC Epidemiology, Screening, Cancer Registry, Città della Salute e della Scienza University Hospital, CPO, Turin, Italy.
N ZielonkeErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
I M C M de KokErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
N T van RavesteynErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
I Lansdorp-VogelaarErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
H J de KoningErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
E A M HeijnsdijkErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
EU-TOPIA consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are currently screening programmes for breast, cervical and colorectal cancer in many European countries. However, the uptake of cancer screening in general may vary within and between countries. The aim of this study is to assess the inequalities in testing utilization by socio-economic status and whether the amount of inequality varies across European regions. We conducted an analysis based on cross-sectional data from the second wave of the European Health Interview Survey from 2013 to 2015. We analysed the use of breast, cervical, and colorectal cancer testing by socio-economic position (household income, educational level and employment status), socio-demographic factors, self-perceived health and smoking behaviour, by using multinomial logistic models, and inequality measurement based on the Slope index of inequality (SII) and Relative index of inequality (RII). The results show that the utilization of mammography (Odds Ratio (OR) = 0.55, 95% confidence interval (95%CI):0.50-0.61), cervical smear tests (OR = 0.60, 95%CI:0.56-0.65) and colorectal testing (OR = 0.82, 95%CI:0.78-0.86) was overall less likely among individuals within a low household income compared to a high household income. Also, individuals with a non-EU country of birth, low educational level and being unemployed (or retired) were overall less likely to be tested. The income-based inequality in breast (SII = 0.191;RII = 1.260) and colorectal testing utilization (SII = 0.161;RII = 1.487) was the greatest in Southern Europe. For cervical smears, this inequality was greatest in Eastern Europe (SII = 0.122;RII = 1.195). We concluded that there is considerable inequality in the use of cancer tests in Europe, with inequalities associated with household income, educational level, employment status, and country of birth.

Indexed as

Cancer screeningEuropeInequalitySocio-economic position

Identifiers

PMID35198362
PMCPMC8850331

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Registered trials

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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.