Evidence map›Paper›PMID 27251556›Full record

ArticleBMC cancer2016

Economic evaluation of the breast cancer screening programme in the Basque Country: retrospective cost-effectiveness and budget impact analysis.

Arantzazu Arrospide, Montserrat Rue, Nicolien T van Ravesteyn, Merce Comas, Myriam Soto-Gordoa, Garbiñe Sarriugarte, Javier Mar

Abstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it
  3. Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Pooled it
  4. Article
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  9. Targeting breast cancer outcomes-what about the primary relatives?Molecular genetics & genomic medicine · 2017
    Article
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

7 authors.

Arantzazu ArrospideGipuzkoa AP-OSI Research Unit, Integrated Health Organization Alto Deba, Avda Navarra 16, 20500, Arrasate-Mondragón, Gipuzkoa, Spain. arantzazu.arrospideelgarresta@osakidetza.net.
Montserrat RueREDISSEC (Red de Investigación en Servicios de Salud en Enfermedades Crónicas - Spanish Health Services Research on Chronic Patients Network), Bilbao, Bizkaia, Spain.
Nicolien T van RavesteynDepartment of Public Health, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 50, 3015, GE, Rotterdam, The Netherlands.
Merce ComasREDISSEC (Red de Investigación en Servicios de Salud en Enfermedades Crónicas - Spanish Health Services Research on Chronic Patients Network), Bilbao, Bizkaia, Spain.
Myriam Soto-GordoaGipuzkoa AP-OSI Research Unit, Integrated Health Organization Alto Deba, Avda Navarra 16, 20500, Arrasate-Mondragón, Gipuzkoa, Spain.
Garbiñe SarriugarteBreast Cancer Early Detection Programme, Public Health Division of Bizkaia, Basque Government, Alameda Rekalde 39, 48008, Bilbao, Bizkaia, Spain.
Javier MarGipuzkoa AP-OSI Research Unit, Integrated Health Organization Alto Deba, Avda Navarra 16, 20500, Arrasate-Mondragón, Gipuzkoa, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer screening in the Basque Country has shown 20 % reduction of the number of BC deaths and an acceptable overdiagnosis level (4 % of screen detected BC). The aim of this study was to evaluate the breast cancer early detection programme in the Basque Country in terms of retrospective cost-effectiveness and budget impact from 1996 to 2011.

methodsA discrete event simulation model was built to reproduce the natural history of breast cancer (BC). We estimated for lifetime follow-up the total cost of BC (screening, diagnosis and treatment), as well as quality-adjusted life years (QALY), for women invited to participate in the evaluated programme during the 15-year period in the actual screening scenario and in a hypothetical unscreened scenario. An incremental cost-effectiveness ratio was calculated with the use of aggregated costs. Besides, annual costs were considered for budget impact analysis. Both population level and single-cohort analysis were performed. A probabilistic sensitivity analysis was applied to assess the impact of parameters uncertainty.

resultsThe actual screening programme involved a cost of 1,127 million euros and provided 6.7 million QALYs over the lifetime of the target population, resulting in a gain of 8,666 QALYs for an additional cost of 36.4 million euros, compared with the unscreened scenario. Thus, the incremental cost-effectiveness ratio was 4,214€/QALY. All the model runs in the probabilistic sensitivity analysis resulted in an incremental cost-effectiveness ratio lower than 10,000€/QALY. The screening programme involved an increase of the annual budget of the Basque Health Service by 5.2 million euros from year 2000 onwards.

conclusionsThe BC screening programme in the Basque Country proved to be cost-effective during the evaluated period and determined an affordable budget impact. These results confirm the epidemiological benefits related to the centralised screening system and support the continuation of the programme.

Indexed as

Breast NeoplasmsCost-Benefit AnalysisEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedQuality-Adjusted Life YearsRetrospective StudiesSpainBreast cancerBudget impact analysisCost-effectivenessEvaluationModellingPublic healthScreeningSimulation

Identifiers

PMID27251556
PMCPMC4888560

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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.