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Di Salvo F, Baili P, Vicentini M, Tumino R, Vercelli M, Pirino D, Contiero P, Foschi R, Minicozzi P, Rossi PG, de Lorenzo F, Micheli A, Marani E, Orengo MA, Rossi PG, Mangone L, Pellegri C, Di Felice E, Cascone G, Cilia S, Morana G, Nicita C, Rollo C, Sigona A, Spata E, Spata G, Budroni M, Cesaraccio R, Contiero P, Maghini A, Tagliabue G, De Lorenzo F, Del Campo L, Polacchi F, Aurora F, Vittone D, Compagni A, Fattore G, Casella I, Cifalà A, Sant M, Gatta G, Trama A, Anselmi V, Casoli C. Cancer Rehabilitation Services: An Italian Population-based Cohort Study. Tumori Journal 2018. [DOI: 10.1177/1578.17224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Francesca Di Salvo
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - Paolo Baili
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | | | | | - Marina Vercelli
- Liguria Region Cancer Registry, IRCCS AOU S Martino - Istituto Nazionale per la Ricerca sul Cancro, Genoa
- Department of Health Sciences, University of Genoa, Genoa
| | | | | | - Roberto Foschi
- Evaluation Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - Pamela Minicozzi
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - Paolo Giorgi Rossi
- Servizio Interaziendale di Epidemiologia, AUSL Reggio Emilia, Reggio Emilia
| | | | - Andrea Micheli
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Minicozzi P, Berrino F, Sebastiani F, Falcini F, Vattiato R, Cioccoloni F, Calagreti G, Fusco M, Vitale MF, Tumino R, Sigona A, Budroni M, Cesaraccio R, Candela G, Scuderi T, Zarcone M, Campisi I, Sant M. High fasting blood glucose and obesity significantly and independently increase risk of breast cancer death in hormone receptor-positive disease. Eur J Cancer 2013; 49:3881-8. [PMID: 24011933 DOI: 10.1016/j.ejca.2013.08.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Revised: 07/06/2013] [Accepted: 08/08/2013] [Indexed: 12/19/2022]
Abstract
PURPOSE We investigated the effect of fasting blood glucose and body mass index (BMI) at diagnosis on risk of breast cancer death for cases diagnosed in five Italian cancer registries in 2003-2005 and followed up to the end of 2008. METHODS For 1607 Italian women (≥15 years) with information on BMI or blood glucose or diabetes, we analysed the risk of breast cancer death in relation to glucose tertiles (≤84.0, 84.1-94.0, >94.0 mg/dl) plus diabetic and unspecified categories; BMI tertiles (≤23.4, 23.5-27.3, >27.3 kg/m(2), unspecified), stage (T1-3N0M0, T1-3N+M0 plus T4anyNM0, M1, unspecified), oestrogen (ER) and progesterone (PR) status (ER+PR+, ER-PR-, ER and PR unspecified, other), age, chemotherapy and endocrine therapy, using multiple regression models. Separate models for ER+PR+ and ER-PR- cases were also run. RESULTS Patients often had T1-3N0M0, ER+PR+ cancers and received chemotherapy or endocrine therapy; only 6% were M1 and 17% ER-PR-. Diabetic patients were older and had more often high BMI (>27 kg/m(2)), ER-PR-, M1 cancers than other patients. For ER+PR+ cases, with adjustment for other variables, breast cancer mortality was higher in women with high BMI than those with BMI 23.5-27.3 kg/m(2) (hazard ratio (HR)=2.9, 95% confidence interval (CI) 1.2-6.9). Breast cancer mortality was also higher in women with high (>94 mg/dl) blood glucose compared to those with glucose 84.1-94.0mg/dl (HR=2.6, 95% CI 1.2-5.7). CONCLUSION Our results provide evidence that in ER+PR+ patients, high blood glucose and high BMI are independently associated with increased risk of breast cancer death. Detection and correction of these factors in such patients may improve prognosis.
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Affiliation(s)
- Pamela Minicozzi
- Analytical Epidemiology and Health Impact Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
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Puliti D, Miccinesi G, Collina N, De Lisi V, Federico M, Ferretti S, Finarelli AC, Foca F, Mangone L, Naldoni C, Petrella M, Ponti A, Segnan N, Sigona A, Zarcone M, Zorzi M, Zappa M, Paci E. Effectiveness of service screening: a case-control study to assess breast cancer mortality reduction. Br J Cancer 2008; 99:423-7. [PMID: 18665188 PMCID: PMC2527797 DOI: 10.1038/sj.bjc.6604532] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2008] [Revised: 06/20/2008] [Accepted: 06/30/2008] [Indexed: 11/09/2022] Open
Abstract
The aim of this study was the evaluation of the impact of service screening programmes on breast cancer mortality in five regions of Italy. We conducted a matched case-control study with four controls for each case. Cases were defined as breast cancer deaths occurred not later than 31 December 2002. Controls were sampled from the local municipality list and matched by date of birth. Screening histories were assessed by the local, computerised, screening database and subjects were classified as either invited or not-yet-invited and as either screened or unscreened. There were a total of 1750 breast cancer deaths within the 50 to 74-year-old breast cancer cases and a total of 7000 controls. The logistic conditional estimate of the cumulative odds ratios comparing invited with not-yet-invited women was 0.75 (95% CI: 0.62-0.92). Restricting the analyses to invited women, the odds ratio of screened to never-respondent women corrected for self-selection bias was 0.55 (95% CI: 0.36-0.85). The introduction of breast cancer screening programmes in Italy is associated with a reduction in breast cancer mortality attributable to the additional impact of service screening over and above the background access to mammography.
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Affiliation(s)
- D Puliti
- Clinical and Descriptive Epidemiology Unit, CSPO, Research Institute of the Tuscany Region, via San Salvi 12, Florence 50135, Italy
| | - G Miccinesi
- Clinical and Descriptive Epidemiology Unit, CSPO, Research Institute of the Tuscany Region, via San Salvi 12, Florence 50135, Italy
| | - N Collina
- AUSL Bologna, Via del Seminario 1, S.Lazzaro di Savena, Bologna 40068, Italy
| | - V De Lisi
- Parma Cancer Registry, via Abbeveratoia 4, Parma 43100, Italy
| | - M Federico
- Modena Cancer Registry, via del Pozzo 71, Modena 41100, Italy
| | - S Ferretti
- Ferrara Cancer Registry, via Fossato di Mortara 64b, Ferrara 44100, Italy
| | - A C Finarelli
- Emilia-Romagna Region Health Department, viale Aldo Moro 21, Bologna 40127, Italy
| | - F Foca
- Romagna Cancer Registry, via Carlo Forlanini 34, Forlì 47100, Italy
| | - L Mangone
- Reggio Emilia Cancer Registry, via Amendola 2, Reggio Emilia 42100, Italy
| | - C Naldoni
- Emilia-Romagna Region Health Department, viale Aldo Moro 21, Bologna 40127, Italy
| | - M Petrella
- Epidemiology Unit ASL2, via XIV Settembre 79, Perugia 06100, Italy
| | - A Ponti
- Epidemiology Unit, CPO Piemonte, via S. Francesco da Paola 31, Torino 10123, Italy
| | - N Segnan
- Epidemiology Unit, CPO Piemonte, via S. Francesco da Paola 31, Torino 10123, Italy
| | - A Sigona
- Cancer Registry, A.O. ‘Civile M.P. Arezzo’, via Dante 109, Ragusa 97100, Italy
| | - M Zarcone
- Palermo Breast Cancer Registry, Piazzale N. Leotta 2, Palermo 90127, Italy
| | - M Zorzi
- Venetian Tumour Registry, Istituto Oncologico Veneto, via Gattamelata 64, Padua 35128, Italy
| | - M Zappa
- Clinical and Descriptive Epidemiology Unit, CSPO, Research Institute of the Tuscany Region, via San Salvi 12, Florence 50135, Italy
| | - E Paci
- Clinical and Descriptive Epidemiology Unit, CSPO, Research Institute of the Tuscany Region, via San Salvi 12, Florence 50135, Italy
| | - the IMPACT Working Group
- Clinical and Descriptive Epidemiology Unit, CSPO, Research Institute of the Tuscany Region, via San Salvi 12, Florence 50135, Italy
- AUSL Bologna, Via del Seminario 1, S.Lazzaro di Savena, Bologna 40068, Italy
- Parma Cancer Registry, via Abbeveratoia 4, Parma 43100, Italy
- Modena Cancer Registry, via del Pozzo 71, Modena 41100, Italy
- Ferrara Cancer Registry, via Fossato di Mortara 64b, Ferrara 44100, Italy
- Emilia-Romagna Region Health Department, viale Aldo Moro 21, Bologna 40127, Italy
- Romagna Cancer Registry, via Carlo Forlanini 34, Forlì 47100, Italy
- Reggio Emilia Cancer Registry, via Amendola 2, Reggio Emilia 42100, Italy
- Epidemiology Unit ASL2, via XIV Settembre 79, Perugia 06100, Italy
- Epidemiology Unit, CPO Piemonte, via S. Francesco da Paola 31, Torino 10123, Italy
- Cancer Registry, A.O. ‘Civile M.P. Arezzo’, via Dante 109, Ragusa 97100, Italy
- Palermo Breast Cancer Registry, Piazzale N. Leotta 2, Palermo 90127, Italy
- Venetian Tumour Registry, Istituto Oncologico Veneto, via Gattamelata 64, Padua 35128, Italy
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