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ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2020

Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data.

Silvia Francisci, Stefano Guzzinati, Giulia Capodaglio, Daniela Pierannunzio, Sandra Mallone, Andrea Tavilla, Tania Lopez, Susanna Busco, Walter Mazzucco, Catia Angiolini and 11 more

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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Cost-effectiveness analysis (CEA) of ovarian cancer preventive strategies for women with BRCA1/2 pathogenic variants: the role of surveillance.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  2. End-of-life healthcare use and associated costs for First Nations Australians diagnosed with cancer in Queensland, Australia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  11. [Direct medical costs in a cohort of patients with breast cancer].Revista medica del Instituto Mexicano del Seguro Social · 2022
    Article
  12. Quantifying the hospital and emergency department costs for women diagnosed with breast cancer in Queensland.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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  15. A direct method for the identification of patterns of care using administrative databases: the case of breast cancer.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
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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

21 authors.

Silvia FrancisciNational Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.ORCID http://orcid.org/0000-0002-1552-1744
Stefano GuzzinatiVeneto Tumour Registry, Azienda Zero, Padua, Italy. stefano.guzzinati@azero.veneto.it.
Giulia CapodaglioRegional Epidemiology Service, Azienda Zero, Padua, Italy.
Daniela PierannunzioNational Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.
Sandra MalloneNational Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.
Andrea TavillaNational Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.
Tania LopezNational Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.
Susanna BuscoUOC Programmazione e Controllo di Gestione, ASL Latina, Latina, Italy.
Walter MazzuccoSciences for Health Promotion and Mother and Child (PROSAMI) Department, University of Palermo, Palermo, Italy.
Catia AngioliniBreast Oncology, Careggi University Hospital, Florence, Italy.
Manuel ZorziVeneto Tumour Registry, Azienda Zero, Padua, Italy.
Diego SerrainoSOC Epidemiologia Oncologica, Centro di Riferimento Oncologico, IRCCS, Aviano, Italy.
Alessandro BarchielliTuscany Cancer Registry, Institute for Cancer Study and Prevention, Florence, Italy.
Mario FuscoRegistro Tumori ASL Napoli 3 sud, Naples, Italy.
Fabrizio StracciUmbria Cancer Registry, Public Health Section, Department Experimental Medicine, University of Perugia, Perugia, Italy.
Fortunato BianconiUmbria Cancer Registry, Public Health Section, Department Experimental Medicine, University of Perugia, Perugia, Italy.
Massimo RuggeDepartment of Medicine, Surgical Pathology Unit, University of Padua, Padua, Italy.
Silvia IacovacciDipartimento di Prevenzione ASL Latina, Latina, Italy.
Antonio Giampiero RussoEpidemiology Unit, Agency for Health Protection of Milan, Milan, Italy.
Rosanna CusimanoLocal Health Unit 6, Palermo, Italy.
Anna GigliInstitute for Research on Population and Social Policies, National Research Council, Rome, Italy.

Funding

Ministero della Salute 2014
6 · The paper itself

Abstract

objectivesTo estimate total direct health care costs associated to diagnosis and treatment of women with breast cancer in Italy, and to investigate their distribution by service type according to the disease pathway and patient characteristics.

methodsData on patients provided by population-based Cancer Registries are linked at individual level with data on health-care services and corresponding claims from administrative databases. A combination of cross-sectional approach and a threephase of care decomposition model with initial, continuing and final phases-of-care defined according to time occurred since diagnosis and disease outcome is adopted. Direct estimation of cancer-related costs is obtained.

resultsStudy cohort included 49,272 patients, 15.2% were in the initial phase absorbing 42% of resources, 79.7% in the continuing phase absorbing 44% of resources and 5.1% in the final phase absorbing 14% of resources. Hospitalization was the most important cost driver, accounting for over 55% of the total costs.

conclusionsThis paper represents the first attempt in Italy to estimate the economic burden of cancer at population level taking into account the entire disease pathway and using multiple current health care databases. The evidence produced by the study can be used to better plan resources allocation. The model proposed is replicable to countries with individual health care information on services and claims.

Indexed as

Breast NeoplasmsCross-Sectional StudiesDelivery of Health CareFemaleHealth ExpendituresHospitalizationHumansInsurance Claim ReviewItalyRegistriesRetrospective StudiesAdministrative dataBreast cancerCost analysisHealth care utilizationReal world data

Identifiers

What OpenQuestion holds

Textmetadata
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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.