Literature DB >> 25149707

Long-term survival, prevalence, and cure of cancer: a population-based estimation for 818 902 Italian patients and 26 cancer types.

L Dal Maso1, S Guzzinati2, C Buzzoni3, R Capocaccia4, D Serraino5, A Caldarella6, A P Dei Tos7, F Falcini8, M Autelitano9, G Masanotti10, S Ferretti11, F Tisano12, U Tirelli13, E Crocetti6, R De Angelis4, S Virdone, A Zucchetto, A Gigli, S Francisci, P Baili, G Gatta, M Castaing, R Zanetti, P Contiero, E Bidoli, M Vercelli, M Michiara, M Federico, G Senatore, F Pannozzo, M Vicentini, A Bulatko, D R Pirino, M Gentilini, M Fusco, A Giacomin, A C Fanetti, R Cusimano.   

Abstract

BACKGROUND: Persons living after a cancer diagnosis represent 4% of the whole population in high-income countries. The aim of the study was to provide estimates of indicators of long-term survival and cure for 26 cancer types, presently lacking. PATIENTS AND METHODS: Data on 818 902 Italian cancer patients diagnosed at age 15-74 years in 1985-2005 were included. Proportions of patients with the same death rates of the general population (cure fractions) and those of prevalent patients who were not at risk of dying as a result of cancer (cure prevalence) were calculated, using validated mixture cure models, by cancer type, sex, and age group. We also estimated complete prevalence, conditional relative survival (CRS), time to reach 5- and 10-year CRS >95%, and proportion of patients living longer than those thresholds.
RESULTS: The cure fractions ranged from >90% for patients aged <45 years with thyroid and testis cancers to <10% for liver and pancreatic cancers of all ages. Five- or 10-year CRS >95% were both reached in <10 years by patients with cancers of the stomach, colon-rectum, pancreas, corpus and cervix uteri, brain, and Hodgkin lymphoma. For breast cancer patients, 5- and 10-year CRSs reached >95% after 19 and 25 years, respectively, and in 15 and 18 years for prostate cancer patients. Five-year CRS remained <95% for >25 years after cancer diagnosis in patients with liver and larynx cancers, non-Hodgkin lymphoma, myeloma, and leukaemia. Overall, the cure prevalence was 67% for men and 77% for women. Therefore, 21% of male and 31% of female patients had already reached 5-year CRS >95%, whereas 18% and 25% had reached 10-year CRS >95%.
CONCLUSIONS: A quarter of Italian cancer patients can be considered cured. This observation has a high potential impact on health planning, clinical practice, and patients' perspective.
© The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

Entities:  

Keywords:  Italy; cancer cure; prevalence; survival

Mesh:

Year:  2014        PMID: 25149707      PMCID: PMC4207730          DOI: 10.1093/annonc/mdu383

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


introduction

In the first decade of the 2000s, persons living after a cancer diagnosis represented 4% of the whole population in high-income countries [1-3], and >60% of cancer patients survived longer than 5 years after diagnosis [1, 2]. Standard survival indicators, namely 5- or 10-year relative survival (RS) [4, 5], do not differentiate patients who, in the long-term, will die because of cancer from those who will be cured and will die of other causes [6]. In cancer patients, the risk of death for specific neoplasm is highest in the initial years after diagnosis, and decreases thereafter until a time period when it becomes negligible, and all the surviving patients reach the same life expectancy of the sex- and age-matched general population [7, 8]. The general aim of the present study was to expand the spectrum of indicators of long-term survival and cure among cancer patients, in order to provide helpful information for epidemiologists and health-care planners, as well as for oncologists [9] and patients [7]. Specific aims of this study were to compute: (i) the proportion of cancer cases expected to have the same death rates of the general population (cure fraction); (ii) the number of years after cancer diagnosis necessary to eliminate excess mortality due to cancer (time to cure); (iii) the overall proportion of cancer patients not at risk of dying as a result of cancer (cure prevalence); and (iv) the proportion of prevalent cancer patients who survived longer than ‘time to cure’ and who already reached the same death rates of the general population.

materials and methods

Data collected from 818 902 cancer patients diagnosed at age 15–74 years in 1985–2005 by Italian cancer registries included 454 527 cancer cases diagnosed in men (85 053 lung, 63 047 prostate, and 56 635 colorectal cancers, supplementary Table S1, available at ). Corresponding numbers in women were 364 375, including 128 004 breast, 41 864 colorectal, and 20 398 endometrial cancers (supplementary Table S1, available at ). Detailed description of statistical methods is provided in supplementary data, available at . Briefly, the observed RS was calculated for cases diagnosed in 1985–2002 and followed up until 2007, by cancer type, sex, age at diagnosis, and period of diagnosis. RS were also modelled by means of mixture cure models, including continuous age and period of diagnosis effects [1, 10, 11]. Sex-specific model-based survival estimates were also calculated for the overall population (15–74 years), at the average age at diagnosis for each cancer type. Proportions of patients with the same death rates of the general population (cure fractions, supplementary Figure S1A, available at ) were calculated. In addition, we estimated complete prevalence adjusting the observed prevalence in each registry with the completeness index method [1, 11, 12], conditional relative survival (CRS), time to reach 5- and 10-year CRS >95% [13] (supplementary Figure S1B, available at ), and proportion of patients living longer than those thresholds (supplementary Figure S1C, available at ). Finally, we calculated the proportion of prevalent patients who were not at risk of dying as a result of cancer (cure prevalence, supplementary Figure S1C, available at ) [14].

results

Among Italian cancer patients diagnosed at aged 15–74 between 1985 and 2005, the cure fraction was highest in patients <45 years of age for thyroid (99% in women and 95% in men), testis (94%), and corpus uteri (91%). Conversely, cure fractions <10% emerged, for all ages and sexes, for liver and pancreatic cancer patients and, for patients aged 55 years or older, diagnosed with cancers of the lung, gallbladder, brain, and leukaemias (Table 1). Cure fractions were largely higher (by 10% or more) in women than in men for all age groups in patients with cancer of the oral cavity, skin melanoma, kidney, bladder, and thyroid cancers. A less clear advantage (0%–10%) for women emerged for patients with stomach and colorectal cancer, whereas for all other cancer types no difference in cure fraction emerged across age groups (Table 1).
Table 1.

Estimated cure fraction by cancer type, sex, and age at diagnosis. aItaly 1985–2005

Cancer type, ICD10Cure fraction (%)
Men, age (years)
Women, age (years)
15–4445–5455–6465–7415–4445–5455–6465–74
Oral cavity, C01–144227191360453729
Oesophagus, C151696410988
Stomach, C164431251942353128
Colon and rectum, C18–215450484557535149
Liver, C22732112642
Gallbladder, C23–242615117181297
Pancreas, C25643217742
Larynx, C324939342949393429
Lung, C33–341711863016117
Skin melanoma, C437767615485787368
Connective tissue, C47, C496754473960524743
Breast, C5040605456
Vagina and vulva, C51–5275605141
Cervix uteri, C5377645646
Corpus uteri, C5491837666
Ovary, C5662402817
Prostate, C6147495050
Testis, C6294908683
Kidney, C64–66, C686551433575625546
Bladder, C67, D09.0, D30.3, D41.48163503589756348
Brain, C70–72351252411572
Thyroid, C739575604399948465
Hodgkin lymphoma, C818063383579745033
Non-Hodgkin lymphoma, C82–85, C964535302656403122
Multiple myeloma, C88–90201112113523912
Leukaemia, C91–95181297181297

aAge 15–74 years.

Estimated cure fraction by cancer type, sex, and age at diagnosis. aItaly 1985–2005 aAge 15–74 years. The cure prevalence proportions were particularly high for patients with cancer of testis (98%), thyroid (91% in men and 97% in women), cervix uteri (95%), corpus uteri (93%), and Hodgkin lymphoma (92%, both sexes) (Figure 1). The cure prevalence proportions were 72% for breast cancer patients, 64% for prostate, 83% in men, and 87% in women diagnosed with colorectal cancer, whereas it was less than one-third for patients with liver cancer, myeloma, and leukaemia (Figure 1). The overall cure prevalence proportion for all examined cancer types encompassed 73% (i.e. 67% of men and 77% women) of persons living after cancer diagnosis.
Figure 1.

Overall prevalence and cure prevalence (proportion of cancer patients who will not die of their disease), overall and by year since diagnosis, sex, and cancer type. Italy 1985–2005. At 1 January 2006, in patients aged 15–74 years living after a cancer diagnosis, calculated as a sum of age-specific estimates.

Overall prevalence and cure prevalence (proportion of cancer patients who will not die of their disease), overall and by year since diagnosis, sex, and cancer type. Italy 1985–2005. At 1 January 2006, in patients aged 15–74 years living after a cancer diagnosis, calculated as a sum of age-specific estimates. In both sexes, time to cure was reached in <10 years, consistently so for different definitions used, by patients with cancers of the stomach and colon–rectum (both 5–9 years), pancreas (5–6 years), cervix and corpus uteri (5–9 years), and brain (7–8 years). In particular, time to cure was reached in <5 years by women with thyroid cancer and by men with testicular cancer (Table 2). For patients with liver and larynx cancers, non-Hodgkin lymphoma, myeloma, and leukaemia, time to cure was not reached or it was >15 years for all definitions used. For these cancers, CRS remained <90%, in comparison with the general population, and for 15 years or more after cancer diagnosis (Table 2).
Table 2.

Estimates of time to cure according to different thresholds for 5- and 10-year conditional relative survival (CRS)a by cancer type, sex, and age. Italy 1985–2005

Cancer type, ICD10Age at diagnosisb (years)Men
Women
Years to 5-year CRS
Years to 10-year CRSYears to 5-year CRS
Years to 10-year CRS
>90%>95%>95%>90%>95%>95%
Oral cavity, C01–1415–4479106910
45–549111181112
55–649111291213
65–74101212101213
15–749111291112
Oesophagus, C1515–74899788
Stomach, C1615–44577577
45–54688577
55–64689578
65–74799688
15–74689678
Colon and rectum, C18–2115–44578577
45–54588577
55–64688578
65–74689578
15–74689578
Liver, C2215–74151820141819
Gallbladder, C23–2415–748910799
Pancreas, C2515–74566566
Larynx, C3215–44922>25
45–5414>25>25
55–6416>25>25
65–7419>25>25
15–7417>25>2517>25>25
Lung, C33–3415–44799688
45–54799789
55–648910799
65–74810108910
15–748910799
Skin melanoma, C4315–44366157
45–54578379
55–646894910
65–7469961011
15–74588379
Connective tissue, C47, C4915–74691061011
Breast, C5015–4414>25>25
45–5461724
55–6491925
65–7491721
15–7491925
Vagina and vulva, C51–5215–7481215
Cervix uteri, C5315–44356
45–54577
55–64688
65–74689
15–74578
Corpus uteri, C5415–44112
45–54245
55–64367
65–74578
15–74467
Ovary, C5615–44578
45–54799
55–6481010
65–7491111
15–7481010
Prostate, C6145–54101518
55–64101518
65–74101518
15–74101518
Testis, C6215–44111
45–54112
15–74111
Kidney, C64–66, C6815–443815258
45–54513224811
55–64716>2551013
65–741020>2571215
15–74817>2551014
Bladder, C67, D09.0,15–44118112
D30.3, D41.445–54213>251512
55–64722>2531119
65–7415>25>25818>25
15–7410>25>2551423
Brain, C70–7215–54788788
Thyroid, C7315–44111
45–54111
55–64144
65–74355
15–741914111
Hodgkin lymphoma, C8115–741791611
Non-Hodgkin lymphoma, C82–85, C9615–448152241425
45–541018251023>25
55–641220>2514>25>25
65–741322>2518>25>25
15–741120>25>25>25>25
Multiple myeloma, C88–9055–6418222424>25>25
65–74172021172122
15–74172021172122
Leukaemia, C91–9515–4425>25>2525>25>25
45–54>25>25>25>25>25>25
55–64>25>25>25>25>25>25
65–74>25>25>25>25>25>25
15–74>25>25>25>25>25>25

Italic values stand for all (15–74) ages.

aEstimates are based on the relative survival function for each type and sex parameterized using mixture cure models. ‘One’ year is reported when time to reach thresholds is <1 year; ‘>25’ when threshold is not reached within 25 years.

bEstimates are shown by age groups when overall annual incidence rates >10/100 000.

Estimates of time to cure according to different thresholds for 5- and 10-year conditional relative survival (CRS)a by cancer type, sex, and age. Italy 1985–2005 Italic values stand for all (15–74) ages. aEstimates are based on the relative survival function for each type and sex parameterized using mixture cure models. ‘One’ year is reported when time to reach thresholds is <1 year; ‘>25’ when threshold is not reached within 25 years. bEstimates are shown by age groups when overall annual incidence rates >10/100 000. For other cancer types, the time to reach the different thresholds was heterogeneous according to the definition used. In women with breast cancer, a 5-year CRS >90% was reached before 10 years from diagnosis (14 years for patients aged 15–44), but 5-year CRS >95% in nearly 20 years and 10-year CRS >95% in 25 years or more. For patients with prostate cancer, these times to cure were reached in 10, 15, and 18 years, respectively. Thus, time to reach these thresholds were variable for patients with kidney and bladder cancers. As a consequence (Table 3), proportions of all patients living after a cancer diagnosis who reached time to cure were relatively high in both sexes, and according to different thresholds, for cervix (>70% among 167/100 000 women) and corpus uteri (>50% among 258/100 000 women), testis (>90% among 150/100 000 men), brain (>50% among 56/100 000 men and women), thyroid cancer (>75% among 255/100 000 women), and Hodgkin lymphoma (>50% among 95/100 000 men and 78/100 000 women). Less than 10% of patients with liver, laryngeal, prostate cancers, non-Hodgkin lymphoma, myeloma, and leukaemia had already reached the same or similar death rates of the general population. Among all Italian women, 1709/100 000 were alive after a breast cancer diagnosis; 41% had already reached 5-year CRS >90%, but only 6% reached 10-year CRS >95%. Similarly, heterogeneity of proportions of cured patients according to the time-to-cure definition emerged for kidney and, most notably, for bladder cancer patients (5-year CRS >90% reached by 29%, whereas 10-year CRS >95% by only 1% among 438/100 000 men). The proportion of patients who reached 5- or 10-year CRS >95% was intermediate for colorectal cancer (30% and 27% among 422/100 000 men; 40% and 36% among 352/100 000 women), stomach cancer (38% and 37% among 109/100 000 men; 58% and 49% among 73/100 000 women), and skin melanoma (49% and 41% among 184/100 000 women) (Table 3).
Table 3.

Complete prevalence (CP)a and proportion (%) of patients who reached different levels of conditional relative survival (CRS)b by cancer type and sex. Italy 1985–2005

Cancer type, ICD10Men
Women
CPFive-year CRSFive-year CRSTen-year CRSCPFive-year CRSFive-year CRSTen-year CRS
×100 000>90%>95%>95%×100 000>90%>95%>95%
Oral cavity, C01–149930%23%22%4943%35%32%
Oesophagus, C151318%15%15%429%26%26%
Stomach, C1610947%38%37%7358%49%47%
Colon and rectum, C18–2142241%30%27%35252%40%36%
Liver, C22461%1%1%169%8%7%
Gallbladder, C23–241020%14%13%1226%20%20%
Pancreas, C251718%16%16%1322%19%19%
Larynx, C3214115%0%0%1414%0%0%
Lung, C33–3417423%18%17%6021%17%15%
Skin melanoma, C4314054%38%36%18476%49%41%
Connective tissue, C47, C494267%58%55%3570%59%55%
Breast, C50170941%12%6%
Vagina and vulva, C51–521940%25%18%
Cervix uteri, C5316782%75%73%
Corpus uteri, C5425871%56%50%
Ovary, C5613651%43%42%
Prostate, C615924%0%0%
Testis, C6215095%94%93%
Kidney, C64–66, C6818139%12%2%9757%36%26%
Bladder, C67, D09.0, D30.3, D41.443829%5%1%9858%25%10%
Brain, C70–725758%54%53%5667%63%63%
Thyroid, C737474%58%54%25587%78%78%
Hodgkin lymphoma, C819585%65%59%7888%68%52%
Non-Hodgkin lymphoma, C82–85, C9617631%14%4%15934%7%1%
Multiple myeloma, C88–90352%1%0%292%1%0%
Leukaemia, C91–95877%0%0%6913%0%0%

aAt 1 January 2006 in patients aged 15–74 years living after a cancer diagnosis, calculated as a sum of age-specific estimates of prevalence.

bEstimates are based on the relative survival function for each type and sex parameterized using mixture cure models.

Complete prevalence (CP)a and proportion (%) of patients who reached different levels of conditional relative survival (CRS)b by cancer type and sex. Italy 1985–2005 aAt 1 January 2006 in patients aged 15–74 years living after a cancer diagnosis, calculated as a sum of age-specific estimates of prevalence. bEstimates are based on the relative survival function for each type and sex parameterized using mixture cure models. Overall, 27% of all cancer patients (21% in men and 31% in women), or 0.9% of the Italian population, had reached 5-year CRS >95% and 22% (18% in men and 25% in women) 10-year RS >95%.

discussion

This study showed that a quarter (27%) of persons living in Italy in the first decade of the 2000s after a cancer diagnosis had reached a death rate similar to that of the general population. In addition, nearly three quarters (73%) of them will not die as a result of their cancer. All the indicators of long-term survival showed a huge heterogeneity by cancer type, age group and, less markedly, by sex. Present findings for breast cancer patients were in substantial agreement with many previous studies, reporting that a small (i.e. <10%) but significant excess mortality remains at least up to 15 years after diagnosis [13, 15, 16]. However, approximately half of the breast cancer patients will not die as a result of their cancer [6, 17], reaching a negligible excess risk of death after ∼20 years since diagnosis. A similar pattern emerged for men living after a prostate cancer diagnosis [6, 7, 15], while a more favourable long-term survival emerged for colorectal [7, 14, 15, 18] and invasive cervical cancers [7, 13, 19] with cure fractions >50% reached in 8 years. A cure fraction <10% emerged for lung and pancreas cancer patients, and no excess risk of death remained after 9 and 6 years since diagnosis, including 15%–20% of prevalent patients [6, 15, 20]. As elsewhere, the cure prevalence for patients with non-Hodgkin lymphoma, myeloma, and leukaemia was <50%, and for these patients excess mortality never became negligible [7, 13, 15]. A substantial advantage in all indicators of long-term cancer survival emerged in women for some cancer types (e.g. colorectal, skin melanoma, bladder, kidney, thyroid, and non-Hodgkin lymphoma) [15, 21], variously attributed to lower prevalence of co-morbidity, earlier stage at diagnosis, and better resistance to disease than men [22]. Moreover, a poorer long-term survival with increasing age was reported for almost all cancer types, possibly due to late recurrences or adverse treatment effects, secondary tumours, or increased co-morbidities [7, 13].

strengths and limitations

To the best of our knowledge, this is the first study reporting a wide spectrum of validated indicators of long-term survival and cure of cancer, including cure fraction and cure prevalence of particular interests to orient public health policies. In addition, for 26 cancer types (representing 95% and 97% of all cancer incidence in men and women, respectively), we estimated the time to reach the same death rates of the general population, which is of overwhelming importance for cancer patients and oncologists. Potential limitations of cure models are known and should be considered (supplementary data, available at : extended description of statistical methods) [23]. In general, cure models may not be appropriate for data with too short a follow-up to identify a plateau in the tail [24]. In this scenario, difficulties in identifying model parameters arose (cancer-specific excess mortality did not become negligible) and estimates of time to cure were either longer than the observation time (i.e. leukaemia) or rather sensible to the choice of the CRS threshold (i.e. prostate or breast cancers). However, in the present study, all the used models converged and fittings were graphically assessed (supplementary Figure S2 and Table S2, available at ). The accuracy of the present estimates depended also on the size of the study population and on the follow-up length, which, in turn, were the strengths of our study. Indeed, our population-based survival estimates were based on very large cohorts of patients followed up for >20 years after diagnosis in order to maximize the reliability of the survival parameter estimates. Histological subtype is an important prognostic factor at diagnosis for many neoplasms, particularly for non-Hodgkin lymphoma and leukaemia [25]. Unfortunately, we were not able to calculate survival and prevalence estimates by histological subtypes [1, 7, 26]. We also lacked information on other important prognostic factors, in particular, stage and treatment. Previous reports have shown that stage has a prognostic effect, mainly during the first years after diagnosis, which lessens and can disappear for long-term survival [13]. New therapies, in particular biological treatments for solid tumours and lymphomas, have improved the outcome of cancer patients over time. There is a possibility that, for some neoplasms, adjuvant treatments may prolong survival, but they do not affect lethality [27]. Unfortunately, population-based studies with a long-term follow-up period could hardly allow these stratifications. RS could be biased when background cancer risk factors (e.g. smoke, HCV) carry a higher risk of related mortalities. This effect has been shown to be negligible for lung cancer [28] and could result in downward RS estimates and in prolonged time to reach the same mortality of the general population. The generalization of results here presented is also questionable even if Italian RS levels were similar to those of most European countries [5]. Present long-term survival and cancer cure estimates reflected the average survival time of large groups of people (i.e. a population) rather than an individual prognosis. Moreover, they must be interpreted considering that a quantitative estimation of lacking excess mortality is not always the equivalent of well-being. Parallel studies on cancer rehabilitation needs, including indicators of quality of life, are also necessary [29]. The availability of reliable and accurate estimates of long-term survival and cure for the increasing number of persons living many years since cancer diagnosis may be helpful not only to epidemiologists and health-care planners, but also to clinicians in developing guidelines to enhance and standardize the long-term follow-up of cancer survivors [9, 30]. Most of all, they could be helpful to patients dealing with uncertainty about the future, making important life decisions, and supporting their rehabilitation demands.

funding

This work was supported by the Italian Association for Cancer Research (AIRC) (grant no. 11859).

disclosure

The authors have declared no conflicts of interest.
  29 in total

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Authors: 
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5.  When do I know I am cured? Using conditional estimates to provide better information about cancer survival prospects.

Authors:  Peter D Baade; Danny R Youlden; Suzanne K Chambers
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7.  Cancer survival in five continents: a worldwide population-based study (CONCORD).

Authors:  Michel P Coleman; Manuela Quaresma; Franco Berrino; Jean-Michel Lutz; Roberta De Angelis; Riccardo Capocaccia; Paolo Baili; Bernard Rachet; Gemma Gatta; Timo Hakulinen; Andrea Micheli; Milena Sant; Hannah K Weir; J Mark Elwood; Hideaki Tsukuma; Sergio Koifman; Gulnar Azevedo E Silva; Silvia Francisci; Mariano Santaquilani; Arduino Verdecchia; Hans H Storm; John L Young
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Journal:  BMC Cancer       Date:  2018-02-09       Impact factor: 4.430

4.  Long-term crude probabilities of death among breast cancer patients by age and stage: a population-based survival study in Northeastern Spain (Girona-Tarragona 1985-2004).

Authors:  R Clèries; A Ameijide; M Buxó; J M Martínez; R Marcos-Gragera; M-L Vilardell; M Carulla; Y Yasui; M Vilardell; J A Espinàs; J M Borràs; J Galceran; À Izquierdo
Journal:  Clin Transl Oncol       Date:  2018-03-06       Impact factor: 3.405

5.  Incidence trend and conditional survival estimates of gastroenteropancreatic neuroendocrine tumors: A large population-based study.

Authors:  Qing Zhong; Qi-Yue Chen; Jian-Wei Xie; Jia-Bin Wang; Jian-Xian Lin; Jun Lu; Long-Long Cao; Mi Lin; Ru-Hong Tu; Ze-Ning Huang; Ju-Li Lin; Ping Li; Chao-Hui Zheng; Chang-Ming Huang
Journal:  Cancer Med       Date:  2018-06-05       Impact factor: 4.452

6.  Prognosis and cure of long-term cancer survivors: A population-based estimation.

Authors:  Luigino Dal Maso; Chiara Panato; Stefano Guzzinati; Diego Serraino; Silvia Francisci; Laura Botta; Riccardo Capocaccia; Andrea Tavilla; Anna Gigli; Emanuele Crocetti; Massimo Rugge; Giovanna Tagliabue; Rosa Angela Filiberti; Giuliano Carrozzi; Maria Michiara; Stefano Ferretti; Rosaria Cesaraccio; Rosario Tumino; Fabio Falcini; Fabrizio Stracci; Antonietta Torrisi; Guido Mazzoleni; Mario Fusco; Stefano Rosso; Francesco Tisano; Anna Clara Fanetti; Giovanna Maria Sini; Carlotta Buzzoni; Roberta De Angelis
Journal:  Cancer Med       Date:  2019-06-17       Impact factor: 4.452

7.  Out-of-pocket costs for cancer survivors between 5 and 10 years from diagnosis: an Italian population-based study.

Authors:  Paolo Baili; Francesca Di Salvo; Francesco de Lorenzo; Francesco Maietta; Carmine Pinto; Vera Rizzotto; Massimo Vicentini; Paolo Giorgi Rossi; Rosario Tumino; Patrizia Concetta Rollo; Giovanna Tagliabue; Paolo Contiero; Pina Candela; Tiziana Scuderi; Elisabetta Iannelli; Stefano Cascinu; Fulvio Aurora; Roberto Agresti; Alberto Turco; Milena Sant; Elisabetta Meneghini; Andrea Micheli
Journal:  Support Care Cancer       Date:  2015-11-16       Impact factor: 3.359

8.  Assessing factors associated with long-term work disability after cancer in Belgium: a population-based cohort study using competing risks analysis with a 7-year follow-up.

Authors:  Régine Levo Kiasuwa Mbengi; Alina Mioara Nicolaie; Els Goetghebeur; Renee Otter; Katrien Mortelmans; Sarah Missinnne; Marc Arbyn; Catherine Bouland; Christophe de Brouwer
Journal:  BMJ Open       Date:  2018-02-17       Impact factor: 2.692

Review 9.  Fatherhood and Sperm DNA Damage in Testicular Cancer Patients.

Authors:  Donatella Paoli; Francesco Pallotti; Andrea Lenzi; Francesco Lombardo
Journal:  Front Endocrinol (Lausanne)       Date:  2018-09-13       Impact factor: 5.555

Review 10.  On estimating the time to statistical cure.

Authors:  Lasse H Jakobsen; Therese M-L Andersson; Jorne L Biccler; Laurids Ø Poulsen; Marianne T Severinsen; Tarec C El-Galaly; Martin Bøgsted
Journal:  BMC Med Res Methodol       Date:  2020-03-26       Impact factor: 4.615

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