Literature DB >> 23799856

Cancer prevalence in United States, Nordic Countries, Italy, Australia, and France: an analysis of geographic variability.

E Crocetti1, R De Angelis, C Buzzoni, A Mariotto, H Storm, M Colonna, R Zanetti, D Serraino, M Michiara, C Cirilli, A Iannelli, G Mazzoleni, O Sechi, M E Sanoja Gonzalez, S Guzzinati, R Capocaccia, L Dal Maso.   

Abstract

BACKGROUND: The objectives of this study were to quantitatively assess the geographic heterogeneity of cancer prevalence in selected Western Countries and to explore the associations between its determinants.
METHODS: For 20 cancer sites, 5-year cancer prevalence, incidence, and survival were observed and age standardised for the mid 2000s in the United States, Nordic European Countries, Italy, Australia, and France.
RESULTS: In Italy, 5-year crude prevalence for all cancers was 1.9% in men and 1.7% in women, while it was ∼1.5% in all other countries and sexes. After adjustment for the different age distribution of the populations, cancer prevalence in the United States was higher (20% in men and 10% in women) than elsewhere. For all cancers combined, the geographic heterogeneities were limited, though relevant for specific cancers (e.g., prostate, showing >30% higher prevalence in the United States, or lung, showing >50% higher prevalence in USA women than in other countries). For all countries, the correlations between differences of prevalence and differences of incidence were >0.9, while prevalence and survival were less consistently correlated.
CONCLUSION: Geographic differences and magnitude of crude cancer prevalence were more strongly associated with incidence rates, influenced by population ageing, than with survival rates. These estimates will be helpful in allocating appropriate resources.

Entities:  

Mesh:

Year:  2013        PMID: 23799856      PMCID: PMC3708570          DOI: 10.1038/bjc.2013.311

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Cancer prevalence indicates, at a given point in time, the number of persons living in a population after a cancer diagnosis (Capocaccia ). Since prevalent cancer cases may have greater health needs than the general population, prevalence is a basic epidemiological measure for health planning and resource allocation helpful to estimate the impact of the expenditures for cancer on the health-care system. Cancer prevalence depends on both the frequency of cancer (incidence) and its prognosis (survival). The higher the incidence and/or the better the survival, the larger the number of patients living with cancer. The ageing of the population increases the incidence of cancer, and hence it affects prevalence too. While reliable cancer incidence, mortality, and survival statistics are routinely available from cancer registries (Berrino ; Engholm ; Ferlay ), estimates of prevalence are less frequently published (Engholm ; AIHW, 2008; Colonna ; Horner ; Maddams ; Guzzinati ). Although estimates of prevalence are available at the Globocan website (Ferlay ; Bray ), systematic comparisons between prevalence in different countries are scanty and scarcely updated (Capocaccia ; Micheli ; Pisani ; Verdecchia ). The first aim of the present paper was to compare prevalence of all cancers combined and for major cancer sites among countries where population-based cancer registry data on prevalence, incidence, and survival were recently published. These countries were the United States (Horner ), Australia (AIHW, 2010), and some European countries – namely Nordic Countries (Engholm ), Italy (AIRTUM Working Group, 2010), and France (Colonna ). The second aim was to evaluate quantitatively the influence on geographic heterogeneity of determinants of prevalence such as incidence, survival, and age distribution. This evaluation could be helpful in defining important measures for the health-care systems (i.e., prevention, care pattern) and in allocating resources.

Materials and methods

In this study, we considered 5-year prevalence that represents the number of patients alive with a cancer diagnosed by <5 years. This period was taken into consideration as it is the time of highest demands on the oncology health services, including diagnosis, first treatment, and most intensive follow-up. Five-year prevalence was also fully comparable among different areas, as it was simply observed by the considered registries, and it was entirely based on incidence and follow-up data collected in the previously observed 5 years (Pisani ). Data used in the present study are summarised in Table 1. We collected incidence, 5-year survival, and 5-year prevalence data for the United States, Nordic European Countries (Denmark, Faroe Islands, Finland, Iceland, Norway, and Sweden), Italy, Australia, and France in the mid 2000s. Countries included in this study were representative of their areas with required estimates of incidence, survival, and prevalence available in the mid 2000s in quinquennia of age and for all age groups (0–99). For the United States, we selected data from the Surveillance, Epidemiology, and End Results (SEER) Program (SEER, 2012), including indicators for all races. For the Nordic Countries, data derived from NORDCAN (Engholm ), for Italy, from the Italian Network of Cancer Registries – AIRTUM (Guzzinati ), and for Australia, from the Australian Institute of Health and Welfare (AIHW, 2008, 2010). For France, we selected age-standardised incidence rates (1998–2002 period) from Cancer Incidence in Five Continents (Curado ), 5-year age-standardised relative survival derived from EUROCARE-4 study (period of diagnosis: 1995–1999; cohort approach) (Berrino ), and 5-year crude and age-standardised prevalence from a specific publication (Colonna ).
Table 1

Cancer registries (CRs) included in the study, period of incidence, total number of incident cancer cases, population covered (and percentage on the total population of the country), period of survival, and year of prevalence

Country (CRs)[Reference] websiteYears of incidenceIncident casesAverage population (millions)% Of country population covered by CRsSurvival periodYear of prevalence (1 January)
United States (SEER)
[SEER, 2012] www.seer.cancer.gov
1999–2003
623,439
27
10
1999–2003
2006
Nordic European Countriesa (NORDCAN)
[Engholm et al, 2010] www-dep.iarc.fr/NORDCAN.htm
1999–2003
571,191
24
100
1999–2003
2006
Italy (AIRTUM)
[AIRTUM Working Group, 2010] www.registri-tumori.it
1999–2003
464,262
16
28
1999–2003
2006
Australia
[AIHW, 2008, 2010] www.aihw.gov.au/acim-books
1998–2002
437,793
19
100
1998–2004
2005
France[Colonna et al, 2008]1998–2002183,1368121995–19992002

Abbreviation: SEER=Surveillance, Epidemiology, and End Results.

Denmark, Faroe Islands, Finland, Iceland, Norway, and Sweden.

Twenty malignant cancer sites based on International Classification of Disease, revision 10 (WHO, 1992) were included in the present comparison. The ‘head and neck' site was not considered due to its inconsistent definitions adopted in different countries, while ‘gallbladder' and ‘soft tissue' because data were not available for all the analysed countries. Incidence rates and 5-year prevalence were standardised on the European standard population (18 age groups). Five-year survival was age standardised using the following age classes: 0–44, 45–59, 60–74, and ⩾75 years, using the International Cancer Survival Standard (ICSS) (Corazziari ). Since no appreciable change in comparisons emerged when using the USA population as standard population, only the estimates based on the European standard population have been shown. Using the SEER estimates (the largest population) as reference, the differences (Δ%) between the country-specific 5-year prevalence, incidence, and 5-year survival were calculated by sex and cancer site. The relationships between percentage differences of age-standardised 5-year prevalence (AP), age-standardised incidence (AI) and 5-year age-standardised relative survival (RS) were evaluated using the crude and weighted (by the number of incidence cases) Pearson's correlation coefficients. With the aim to calculate these correlations for all countries (i.e., including the United States), all the measures were rescaled and the differences were calculated vs the pooled estimates based on the average of the five countries.

Results

In the mid 2000s, Italy was the country showing the highest 5-year crude cancer prevalence among the sites combined, 1.9% among men and 1.7% among women (Web Appendix 1). They were 25–30% higher among men and 20–25% higher among women than those reported in other analysed countries, where corresponding proportions were ∼1.5% in men and 1.4% in women. The above-described patterns of geographic differences in cancer prevalence were substantially modified by age standardisation (Web Appendix 2). Five-year age-standardised prevalence, age-standardised incidence, and 5-year age-standardised relative survival for the United States, Nordic Countries, Italy, Australia, and France are shown in Table 2 for men and in Table 3 for women.
Table 2

Five-year age-standardised prevalence (AP, per 100 000)a, age-standardised incidence rate (AI, per 100 000)a, and 5-year relative survival (RS)b in the United States (SEER), Nordic Countries (NORDCAN), Italy (AIRTUM), Australia, and France with differences (Δ%) in comparison with the corresponding estimates in the United States. MEN, all ages

 
 
Nordic Countries
Italy
Australia
France
Site (ICD10)United States Δ% Δ% Δ% Δ%
All cancers excluding non-melanoma
AP16551175−291405−151470−111271−23
AI542415−23500−8509−6494−9
RS
67%
55%
−18
52%
−22
58%
−12
46%
−31
Oesophagusc (C15)
AP127−437−421851
AI86−236−231486
RS
17%
9%
−47
10%
−43


12%
−34
Stomach (C16)
AP1917−94514321162322
AI1012192615213291440
RS
24%
20%
−18
30%
24
24%
1
23%
−3
Colon and rectum (C18–C21)
AP186152−182061122421172−7
AI5851−1364107122602
RS
66%
56%
−16
59%
−11
61%
−8
57%
−14
Liver (C22)
AP114−65311708−301530
AI95−40211446−291681
RS
11%
6%
−43
15%
39
3%
−69
8%
−27
Pancreas (C25)
AP108−2111117−277−28
AI1211−1213810−169−27
RS
5%
4%
−22
6%
12
5%
−16
8%
44
Trachea, bronchus, and lung (C33C34)
AP9551−4695063−34994
AI7649−3681658−2470−7
RS
14%
10%
−30
13%
−6
11%
−23
12%
−13
Skin melanoma (C43)
AP9970−3053−4722612737−62
AI2316−2912−475313211−53
RS
91%
83%
−9
80%
−12
90%
−1
82%
−10
Prostate (C61)
AP732521−29397−46509−30431−41
AI176120−3288−50119−32122−30
RS
98%
78%
−21
87%
−12
85%
−13
78%
−20
Kidney (C64–66, C68)
AP6233−46681045−2850−20
AI1812−3619514−2416−10
RS
63%
52%
−18
67%
7
66%
4
60%
−5
Bladder (C67, D09.0, D30.3, 41.4)
AP132105−201854052−6166−50
AI3431−7504818−4623−32
RS
83%
74%
−11
78%
−6
62%
−25
63%
−24
Brain (C70–C72)
AP153714316514−914−8
AI81359914837−12
RS
25%
21%
−16
21%
−17
13%
−47
17%
−31
Thyroid (C73)
AP218−61262514−3516−21
AI42−555143−334−12
RS
92%
79%
−15
88%
−5
88%
−5
75%
−18
Hodgkin lymphoma (C81)
AP1311−15173310−2011−18
AI33−194292−223−14
RS
80%
85%
6
81%
2
85%
6
77%
−4
Non-Hodgkin lymphoma (C82–C85, C96)
AP7848−3862−2166−1638−51
AI2315−3518−2120−1215−33
RS
62%
55%
−12
59%
−5
62%
−1
49%
−21
Multiple myelomac (C90)d
AP1814−2019519316−9
AI76−1973705−26
RS
37%
36%
−5
46%
23


39%
3
Leukaemias (C91–C95)
AP4735−2534−2742−934−27
AI1612−2514−1313−2113−16
RS48%56%1545%−748%−151%5

Standardised on the European population.

Standardised on the International Cancer Survival Standards.

Unavailable data are represented by ‘—'.

C88 is also included in Italy (4.4% of C88 and C90 cases in men).

Table 3

Five-year age-standardised prevalence (AP, per 100 000)a, age-standardised incidence rate (AI, per 100 000)a and 5-year relative survival (RS)b in the United States (SEER), Nordic Countries (NORDCAN), Italy (AIRTUM), Australia, and France with differences (Δ%) in comparison with the corresponding estimates in the United States. WOMEN, all ages

 
 
Nordic Countries
Italy
Australia
France
Site (ICD10)United States Δ% Δ% Δ% Δ%
All cancers excluding non-melanoma
AP13201117−151233−71242−61094−17
AI409351−14351−14380−7314−23
RS
64%
59%
−7
61%
−4
64%
0
60%
−6
Oesophagusc (C15)
AP32−202−322−22
AI2201−472−2
RS
20%
13%
−35
13%
−35


15%
−23
Stomach (C16)
AP1010125160106107
AI562713165618613
RS
30%
23%
−21
35%
18
25%
−15
31%
4
Colon and rectum (C18–C21)
AP142124−13135−515710108−24
AI4339−1041−5491335−19
RS
67%
60%
−10
60%
−10
62%
−7
59%
−12
Liver (C22)
AP42−4991083−303−26
AI33−1971262−393−12
RS
12%
8%
−37
16%
29
10%
−16
10%
−16
Pancreas (C25)
AP86−238−37−186−29
AI99−39−18−166−38
RS
7%
5%
−35
9%
29
5%
−33
7%
5
Trachea, bronchus, and lung (C33–C34)
AP8238−5329−6438−5322−73
AI5027−4618−6426−4812−76
RS
19%
14%
−27
17%
−10
14%
−25
17%
−11
Skin melanoma (C43)
AP7377654−2616813147−36
AI1616511−293714212−22
RS
95%
90%
−4
88%
−7
94%
0
87%
−8
Breast (C50)
AP532483−9517−3488−8515−3
AI135110−19116−14115−15122−10
RS
91%
85%
−7
86%
−5
88%
−3
83%
−8
Cervix uteri (C53)
AP273944301125−73738
AI810267−880923
RS
65%
67%
2
57%
−13
72%
10
67%
2
Corpus uteri (C54)
AP9683−1372−2560−3756−42
AI2520−1917−3215−3915−41
RS
83%
83%
−1
77%
−8
82%
−2
73%
−13
Ovary (C56)
AP38482437−330−2135−7
AI14161713−611−2012−13
RS
39%
40%
1
38%
−3
40%
1
35%
−10
Kidney (C64–C66, C68)
AP3319−4130−924−2822−33
AI97−288−117−237−22
RS
66%
55%
−17
68%
3
66%
0
63%
−4
Bladder (C67, D09.0, 30.3, 41.4)
AP3329−1234413−609−73
AI991925−443−63
RS
80%
68%
−15
77%
−3
55%
−31
60%
−25
Brain (C70–C72)
AP135432612−510−181626
AI614162695−25−12
RS
30%
23%
−23
27%
−11
13%
−57
19%
−37
Thyroid (C73)
AP6526−60832843−3457−12
AI125−6314148−33120
RS
95%
85%
−10
92%
−3
95%
0
90%
−5
Hodgkin lymphoma (C81)
AP119−2315348−259−18
AI22−213252−212−11
RS
84%
86%
2
85%
1
86%
2
82%
−2
Non-Hodgkin lymphoma (C82–85, C96)
AP5737−3645−2249−1529−49
AI1611−3113−1714−710−35
RS
69%
60%
−13
60%
−13
63%
−10
53%
−24
Multiple myelomac (C90)d
AP1210−15141612−112−4
AI44−145144−24−16
RS
37%
38%
3
46%
25


43%
17
Leukaemias (C91–C95)
AP2824−1622−2127−523−19
AI98−189−49−58−13
RS49%61%2445%−847%−352%6

Standardised on European population.

Standardised on the International Cancer Survival Standards.

Unavailable data are represented by ‘—'.

C88 is also included in Italy (4.0% of C88 and C90 cases in women).

Overall age-standardised 5-year prevalence for all cancer sites (excluding non-melanoma skin cancer) in the United States was 1655 per 100 000 men and 1320 per 100 000 women, largely higher than in other countries. In men, Australia ranked second with 11% lower proportions than in the United States, where prostate cancer represented 44% of all prevalent cases (732 per 100 000 or 0.7% of all men). The 5-year prevalence of prostate cancer was much lower in all the other countries, from 521 per 100 000 in the Nordic Countries to 397 per 100 000 in Italy (28% of all patients). The differences in prostate 5-year prevalence paralleled those seen in incidence, although the 5-year survival in the United States (98%) was markedly higher than elsewhere (78–87%) (Table 2). The highest age-standardised 5-year prevalence for all other cancers (prostate and non-melanoma skin cancer excluded) in men was observed in Italy (1 008 per 100 000), followed by Australia (961), United States (923), France (840), and Nordic Countries (654). Among women, breast cancer represented 40% or more of diagnosed cancers (Table 3), and 5-year prevalence (∼0.5%) as well as 5-year survival rates (85–90%) were similar across countries. Corpus uteri and lung cancer were the third and fourth most prevalent cancer sites in USA women; in addition to non-Hodgkin lymphoma and leukaemia, they largely explained the overall higher prevalence among USA women. In women, 5-year prevalence for lung cancer in United States (82 per 100 000) was two-fold higher than in all other countries. Between countries differences were of the same magnitude for age-adjusted incidence rates, while 5-year survival for lung cancer among USA women was slightly higher than elsewhere. Patients with colorectal cancer represented >10% of all prevalence in each sex and country. Colorectal cancer prevalence was higher in Australia (both sexes) and in Italy (men) than in the United States, and lower in Nordic Countries and France. The geographic heterogeneity in incidence was of the same magnitude of that observed for 5-year prevalence, and 5-year relative survival ranged between 57% and 69% in all registries. Among the selected countries, skin melanoma had the highest 5-year prevalence in Australia in both sexes (226 per 100 000 men and 168 per 100 000 women), due to the markedly higher incidence rates, while 5-year survival in Australia was as high as in the United States, and higher than in European countries. Italy had the highest age-standardised prevalence for bladder (185 per 100 000 men and 34 per 100 000 women), kidney (68 per 100 000 men), thyroid (26 per 100 000 men and 83 per 100 000 women), stomach (45 per 100 000 men and 25 per 100 000 women), and liver (31 per 100 000 men and 9 per 100 000 women). For all these cancers, the excess in 5-year prevalence paralleled the one seen for incidence rates. In Nordic Countries, men had a lower 5-year prevalence (−29%) than in the United States for all the cancer sites combined. The difference was similar to the one seen for incidence (−23%) and, to a lesser extent, survival (−18%). The same pattern emerged in Nordic women with the exception of skin melanoma (77 per 100 000), ovarian cancers (48 per 100 000), and cervix uteri (39 per 100 000). In France, the 5-year prevalence was 20% lower than in the United States for all neoplasms, but it was higher for cancers of oesophagus, stomach, and liver for which France and Italy shared high incidence rates (Verdecchia ). Five-year prevalence of cervical cancer was also 38% higher in France (37 per 100 000) than in the United States (27 per 100 000), though without any difference in survival. For most of the cancer sites, 5-year prevalence in Australia was lower than in the United States in both sexes, with the exception of melanoma (226 per 100 000 men and 168 per 100 000 women) and colorectal cancers (224 per 100 000 men and 157 per 100 000 women).

Correlation among prevalence, incidence, and survival

Figure 1 shows weighted correlations between differences of age-standardised 5-year prevalence, incidence rates, and 5-year relative survival, in comparison with the pool average of each indicator.
Figure 1

Distribution of differences ( Each dot represents one cancer site.aStandardised on European population; bStandardised on the International Cancer Survival Standards; cCancer sites or types presented in Tables 2 and 3; dWeighted for the incidence of the specific cancer site or type.

In all countries, extremely high correlation coefficients (ρ>0.95) emerged between differences in 5-year prevalence and incidence in men and women (only in France ρ=0.84). There were lower correlations between differences in 5-year prevalence and survival both for men, particularly (ρ<0.50) in the United States, France, and Australia, and for women, in France and Australia (ρ<0.40). Correlations >0.80 between survival and prevalence emerged only for Nordic Countries. Crude correlation coefficients between differences in 5-year prevalence, incidence, and 5-year survival provided very similar results (Web Appendix 3). The correlation between incidence and 5-year survival was rather poor (ρ<0.50) in all countries and sexes (data not shown).

Discussion

In the examined countries, 5-year prevalence rates ranged from 1400 to 1900 per 100 000 men and from 1300 to 1700 per 100 000 women. This means that one every 60–70 persons of all ages living in the United States, Australia, and in European Countries in mid 2000s had a cancer diagnosis within the previous 5 years. For all cancers combined, the geographic differences were relatively modest, ranging from 1 per 50 men in Italy to 1 per 75 women in France. After adjustment for the different age distributions of the populations, 5-year prevalence in the United States was 20% higher than in other countries in men and 10% higher in women. These values represent nearly 50% an increase, in comparison with estimates conducted 10 years earlier (Pisani ; Verdecchia ). Among men, the overall 5-year prevalence (crude and age standardised) and geographic heterogeneity were greatly influenced by prostate cancer prevalence, higher in the United States than in other countries. Between countries differences were of the same magnitude of those reported for prostate cancer incidence (>30% higher in United States than in other countries), which were mainly due to the different timing and extent of diffusion of the prostate cancer antigen (PSA) testing with its relevant impact on the economic burden of this disease (Roehrborn and Black, 2011). In women, breast cancer accounted for 40% of the total prevalent cases. Small differences (<10%) in all the examined, as well as in other more developed countries (Maddams ; Guzzinati ), reflected limited geographic heterogeneity in both incidence rates (<20% differences) and survival (<10%) in the early 2000s. Female breast cancer incidence decreased in the United States since 2002 (SEER, 2012), it was stable in Australia (AIHW, 2010) and in Nordic Countries (Engholm ), as well as in Italy after a long increasing period (Crocetti ). The impact on incidence trends of different implementations of screening programs and the hormone replacement therapies (proportions and changes) across countries have been extensively explored (Canfell ; Séradour ; Verkooijen ; Crocetti ; Hofvind ). In both sexes, colorectal cancer was the second most prevalent cancer in almost all the analysed countries (Center ). Between countries differences in prevalence were similar to those observed in incidence rates, with the highest age-adjusted 5-year prevalence reported in Australia (>30% higher than in France). In turn, differences in incidence rates were largely explained by uneven exposure to major risk factors for this neoplasm (i.e., high consumption of red meat and processed meat, substantial consumption of alcoholic drinks, body fatness, and abdominal fatness) (World Cancer Research Fund/American Institute for Cancer Research, 2007). Prostate cancer accounts for >30% of prevalent cases in men and >40% in United States and Nordic Countries. A crucial role in prostate cancer epidemiology was played by PSA testing. The PSA testing was introduced in the United States at the beginning of the 1990s. The earlier PSA testing introduction and its quick and widespread diffusion, which caused a peak in prostate incidence in the early 1990s, explain the differences emerged in incidence and prevalence in comparison with other countries. Issues related to effectiveness of screening for prostate cancer (in terms of mortality reduction, quality of life, over diagnosis) are still debated (Schröder ). The proportion of women living after a lung cancer diagnosis in United States was nearly two-fold higher than in other countries as a consequence of the 50–70% higher incidence rate in the United States. This excess mirrored the proportion of smokers in the country 20 or more years before (IARC, 2004). Lung cancer incidence had just began to decrease among USA women (SEER, 2012) while it was still increasing among women in Italy (AIRTUM Working Group, 2010), Australia (AIHW, 2010), and Nordic Countries (Engholm ).

Prevalence, incidence, and survival

Almost all the observed differences in 5-year prevalence of cancer seemed to be more influenced by the differences in incidence than those in survival, even if substantial differences in survival were reported in this study, as well as in other developed countries (Verdecchia ; Coleman ). In the United States, the highest 5-year prevalence for prostate, breast, corpus uteri, kidney (women) cancers, non-Hodgkin lymphoma, and leukaemia was strongly associated with higher incidence rates for the corresponding cancer sites. The outstanding role of incidence on prevalence was also clear when high prevalence of specific cancers emerged in some countries: e.g., melanoma and colon–rectum in Australia; stomach, liver, bladder, thyroid cancers, and Hodgkin lymphoma in Italy, cervix uteri and ovary in the Nordic Countries, and oesophagus in France.

The role of ageing on cancer prevalence

The study showed that geographic heterogeneity of cancer prevalence was greatly influenced by the age structure of the population examined and that, when interpreting geographic differences between countries, age standardization of prevalence becomes necessary. The population was younger in the United States and Australia, with a mean age of 38 years and 13% of people aged over 65 years, as compared with France and the Nordic countries (mean age: 40 years, 17% >65 years), and the oldest population was in Italy (mean age: 43 years, 20% of the population >65 years) (United Nations, 2012). This age distribution explained why 20–30% higher crude prevalence emerged in Italy in comparison with other examined countries (Crocetti ). These excesses were equal to 4–5 additional prevalent cancer cases per 1000 men (i.e., similar to prostate cancer prevalence) and 3–4 additional prevalent cancer cases per 1000 women (i.e., similar to breast cancer prevalence).

Strength and limitations of the study

The major strength of the study was the comprehensive quantitative evaluation of all major indicators of cancer burden in selected cancer registries in the developed regions. Among the strengths of our study were the inclusion of updated estimates of prevalence (incidence and survival) of all malignant tumours for all ages and the comparison between countries using a reference population. In addition, the study took advantage of data collected by cancer registries according to an international protocol (http://cinportal.iarc.fr), with standard routine indicators of data completeness and quality (Curado ; Ferlay ). The calendar years of available data were slightly different among the examined countries (Table 1). However, the impact of these discrepancies in the presented results seemed to be negligible. The present analysis includes comparisons of prevalence, incidence, and survival rates among the different countries. In general, interpretation of descriptive epidemiological studies should take into account possible differences in registration procedures, with particular attention on: (1) methods of cancer detection (affecting incidence); (2) types of treatment provided and access to treatment services (affecting survival); (3) cancer characteristics such as stage at diagnosis and histology type; and (4) coding practices, as well as accuracy and completeness of recording of all cancer cases. For bladder cancer, the comparison among countries may have been biased because the Nordic and some Italian cancer registries included also non-malignant cancers (Patriarca ). This may have also been applied to cancers of the central nervous system (CNS), because Nordic Cancer registries included non-malignant cancers too, which, in adults, may be twice as frequent as malignant ones (CBTRUS, 2011). Strictly speaking, prevalence is a function of overall survival, while in the present study relative survival was used because it was reported consistently in all countries. The impact of this approximation on correlation estimates, however, should be negligible.

Conclusions

Differences between countries of 5-year cancer prevalence were related to differences in incidence rates, strongly influenced by population ageing, and less strongly to differences in survival rates. This comprehensive comparison of 5-year prevalence, incidence, and 5-year survival is important to provide evidence for rational and appropriate resource allocations (Mariotto , 2011; Yabroff ; Barlow, 2009), with particular priority to primary prevention of cancer (Micheli ).
  29 in total

1.  Tobacco smoke and involuntary smoking.

Authors: 
Journal:  IARC Monogr Eval Carcinog Risks Hum       Date:  2004

2.  Projecting the number of patients with colorectal carcinoma by phases of care in the US: 2000-2020.

Authors:  Angela B Mariotto; K Robin Yabroff; Eric J Feuer; Roberta De Angelis; Martin Brown
Journal:  Cancer Causes Control       Date:  2006-12       Impact factor: 2.506

3.  Coding criteria of bladder cancer: effects on estimating survival.

Authors:  S Patriarca; L Gafà; S Ferretti; S Vitarelli; R Cesaraccio; E Crocetti; M C Ferrante; P Rollo; G Tagliabue
Journal:  Epidemiol Prev       Date:  2001       Impact factor: 1.901

4.  Global estimates of cancer prevalence for 27 sites in the adult population in 2008.

Authors:  Freddie Bray; Jian-Song Ren; Eric Masuyer; Jacques Ferlay
Journal:  Int J Cancer       Date:  2012-07-26       Impact factor: 7.396

5.  Survival for eight major cancers and all cancers combined for European adults diagnosed in 1995-99: results of the EUROCARE-4 study.

Authors:  Franco Berrino; Roberta De Angelis; Milena Sant; Stefano Rosso; Magdalena Bielska-Lasota; Magdalena B Lasota; Jan W Coebergh; Mariano Santaquilani
Journal:  Lancet Oncol       Date:  2007-09       Impact factor: 41.316

6.  Cancer prevalence in European registry areas.

Authors:  A Micheli; E Mugno; V Krogh; M J Quinn; M Coleman; T Hakulinen; G Gatta; F Berrino; R Capocaccia
Journal:  Ann Oncol       Date:  2002-06       Impact factor: 32.976

Review 7.  Measuring cancer prevalence in Europe: the EUROPREVAL project.

Authors:  R Capocaccia; M Colonna; I Corazziari; R De Angelis; S Francisci; A Micheli; E Mugno
Journal:  Ann Oncol       Date:  2002-06       Impact factor: 32.976

8.  A comparative analysis of cancer prevalence in cancer registry areas of France, Italy and Spain.

Authors:  A Verdecchia; A Micheli; M Colonna; V Moreno; M I Izarzugaza; E Paci
Journal:  Ann Oncol       Date:  2002-07       Impact factor: 32.976

9.  Standard cancer patient population for age standardising survival ratios.

Authors:  Isabella Corazziari; Mike Quinn; Riccardo Capocaccia
Journal:  Eur J Cancer       Date:  2004-10       Impact factor: 9.162

10.  Cancer prevalence in France: time trend, situation in 2002 and extrapolation to 2012.

Authors:  Marc Colonna; Arlette Danzon; Patricia Delafosse; Nicolas Mitton; Simona Bara; Anne-Marie Bouvier; Olivier Ganry; Anne-Valérie Guizard; Guy Launoy; Florence Molinie; Erik-André Sauleau; Claire Schvartz; Michel Velten; Pascale Grosclaude; Brigitte Tretarre
Journal:  Eur J Cancer       Date:  2007-11-26       Impact factor: 9.162

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  7 in total

Review 1.  Malignancies and outcome in Takotsubo syndrome: a meta-analysis study on cancer and stress cardiomyopathy.

Authors:  Natale Daniele Brunetti; Nicola Tarantino; Francesca Guastafierro; Luisa De Gennaro; Michele Correale; Thomas Stiermaier; Christian Möller; Matteo Di Biase; Ingo Eitel; Francesco Santoro
Journal:  Heart Fail Rev       Date:  2019-07       Impact factor: 4.214

2.  Association between chronic kidney disease and cancer including the mortality of cancer patients: national health and nutrition examination survey 1999-2014.

Authors:  Kanglin Guo; Zufeng Wang; Ran Luo; Yichun Cheng; Shuwang Ge; Gang Xu
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

3.  The increase in cancer prevalence and hospital burden in Western Australia, 1992-2011.

Authors:  Susannah Maxwell; Peter O'Leary; Terry Slevin; Rachael Moorin
Journal:  Popul Health Metr       Date:  2014-12-19

4.  Total and partial cancer prevalence in the adult French population in 2008.

Authors:  Marc Colonna; Nicolas Mitton; Nadine Bossard; Aurelien Belot; Pascale Grosclaude
Journal:  BMC Cancer       Date:  2015-03-19       Impact factor: 4.430

5.  Characteristics of people living in Italy after a cancer diagnosis in 2010 and projections to 2020.

Authors:  Stefano Guzzinati; Saverio Virdone; Roberta De Angelis; Chiara Panato; Carlotta Buzzoni; Riccardo Capocaccia; Silvia Francisci; Anna Gigli; Manuel Zorzi; Giovanna Tagliabue; Diego Serraino; Fabio Falcini; Claudia Casella; Antonio Giampiero Russo; Fabrizio Stracci; Bianca Caruso; Maria Michiara; Anna Luisa Caiazzo; Marine Castaing; Stefano Ferretti; Lucia Mangone; Giuseppa Rudisi; Flavio Sensi; Guido Mazzoleni; Fabio Pannozzo; Rosario Tumino; Mario Fusco; Paolo Ricci; Gemma Gola; Adriano Giacomin; Francesco Tisano; Giuseppa Candela; Anna Clara Fanetti; Filomena Pala; Antonella Sutera Sardo; Massimo Rugge; Laura Botta; Luigino Dal Maso
Journal:  BMC Cancer       Date:  2018-02-09       Impact factor: 4.430

6.  Exploring Geographic Variability in Cancer Prevalence in Eastern Morocco: A Retrospective Study over Eight Years.

Authors:  Manal Elidrissi Errahhali; Mounia Elidrissi Errahhali; Naima Abda; Mohammed Bellaoui
Journal:  PLoS One       Date:  2016-03-21       Impact factor: 3.240

7.  Complexity in disease management: A linked data analysis of multimorbidity in Aboriginal and non-Aboriginal patients hospitalised with atherothrombotic disease in Western Australia.

Authors:  Mohammad Akhtar Hussain; Judith M Katzenellenbogen; Frank M Sanfilippo; Kevin Murray; Sandra C Thompson
Journal:  PLoS One       Date:  2018-08-14       Impact factor: 3.240

  7 in total

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