Skip to main content

Some NLM-NCBI services and products are experiencing heavy traffic, which may affect performance and availability. We apologize for the inconvenience and appreciate your patience. For assistance, please contact our Help Desk at info@ncbi.nlm.nih.gov.

British Journal of Cancer logoLink to British Journal of Cancer
. 2009 Dec 3;101(Suppl 2):S115–S124. doi: 10.1038/sj.bjc.6605401

What if cancer survival in Britain were the same as in Europe: how many deaths are avoidable?

M Abdel-Rahman 1,2, D Stockton 3, B Rachet 1, T Hakulinen 4, M P Coleman 1,*
PMCID: PMC2790713  PMID: 19956155

Abstract

Objective:

To estimate the number of deaths among cancer patients diagnosed in Great Britain that would be avoidable within 5 years of diagnosis if the mean (or highest) survival in Europe for patients diagnosed during 1985–1989, 1990–1994 and 1995–1999 were achieved.

Design:

Five-year relative survival for cancers in Great Britain compared with that from other countries in the EUROCARE-2, -3 and -4 studies. Calculation of excess deaths (those more than expected from mortality in the general population) that would be avoidable among cancer patients in Britain if relative survival were the same as in Europe.

Setting:

Great Britain (England, Wales, Scotland) and 13 other European countries.

Subjects:

2.8 million adults diagnosed in Britain with 1 of 39 cancers during 1985–1989 (followed up to 1994), 1990–1994 (followed up to 1999) and 1995–1999 (followed up to 2003).

Main outcome measure:

Annual number of avoidable deaths within 5 years of diagnosis. Percentage of the excess (cancer-related) deaths among cancer patients that would be avoidable.

Results:

Compared with the mean European 5-year relative survival, the largest numbers of avoidable deaths for patients diagnosed during 1985–1989 were for cancers of the breast (about 18% of the excess mortality from this cancer, 7541 deaths), prostate (14%, 4285), colon (9%, 4090), stomach (8%, 3483) and lung (2%, 3548). For 1990–1994, the largest numbers of avoidable deaths were for cancers of the prostate (20%, 7335), breast (15%, 6165), colon (9%, 4376), stomach (9%, 3672), lung (2%, 3735) and kidney (22%, 2644). For 1995–1999, most of the avoidable deaths were for cancers of the prostate (17%, 5758), breast (15%, 5475), lung (3%, 4923), colon (10%, 4295), stomach (9%, 3137) and kidney (21%, 2686).

Overall, some 6600–7500 premature deaths would have been avoided each year among cancer patients diagnosed in Britain during 1985–1999 if the mean survival in Europe had been achieved. This represents 6–7% of cancer-related mortality. Compared with the highest European survival, avoidable premature mortality among cancer patients fell from about 12 800 deaths a year (12.2% of cancer-related mortality) to about 11 400 deaths a year (10.6%) over the same period.

A large component of the avoidable mortality is due to prostate cancer: excluding this cancer from comparison with the European mean survival reduces the annual number of avoidable deaths by 1000–1500, and the percentage of excess mortality by up to 1%. Compared with the highest survival, the annual number of avoidable deaths would be 1500–2000 fewer, and 1–2% lower as a percentage of excess mortality, but the overall trend in avoidable premature mortality among cancer patients would be similar, falling from 11.4% (1985–1989) to 10.3% (1990–1994) and 9.7% for those diagnosed during 1995–1999.

For several cancers, survival in Britain was slightly higher than the mean survival in Europe; this represented some 110–180 premature deaths avoided each year during the period 1985–2003.

Conclusions:

Avoidable premature mortality among cancer patients diagnosed in Britain during 1985–1999 has represented 6–7% of cancer-related mortality compared with the mean survival in Europe. Compared with the highest levels of survival in Europe, the reduction from 12.2% to 10.6% of cancer-related mortality reflects small but steady progress over the period 1985–2003.

Keywords: Britain, Europe, survival, avoidable mortality, health policy


The EUROCARE study has provided population-based survival estimates for up to 20 European countries for adults (15–99 years) diagnosed with cancer since 1978 (Berrino et al, 1995b, 1999b, 2003, 2007). It has shown continuing increases in survival but large and persistent international variations across Europe. Data from England and Scotland have been included in all the EUROCARE studies, data from Wales for patients diagnosed since 1990, and from Northern Ireland since 1995. Survival for most adult cancers in the United Kingdom has generally been lower than in comparable western European countries.

Concern about the cancer survival deficit in Britain (Department of Health, 1999) contributed to development of the NHS Cancer Plan (Department of Health, 2000), which envisaged a 20% reduction in cancer death rates under age 75 by 2010. It has been suggested that 10 000 lives a year would have been saved if 5-year survival for patients diagnosed in Britain during 1985–1989 had reached the European average, and 25 000 lives a year if survival were as high as the best in Europe, but no details were given (Sikora, 1999). The question of how many cancer deaths would be avoidable if survival in Britain were at the level seen in other EU countries has been raised in Parliament. It could not be answered (Kelly, 2002).

The EUROCARE-4 study provided relative survival estimates from 20 European countries for adults diagnosed with 1 of 39 different malignancies during 1995–1999 and followed up to 2001. This enables assessment of trends in avoidable cancer mortality in Britain over the period 1985–1999, based on data from the EUROCARE-2, -3 and -4 studies.

We set out to estimate how many cancer deaths would have been avoided within 5 years of diagnosis if survival among patients diagnosed in Great Britain (England, Scotland and Wales) during 1985–1989, 1990–1994 and 1995–1999 had been equivalent either to the mean survival or to the highest survival seen in other European countries. Cancer survival has been improving in most European countries, so comparison with a shifting baseline is appropriate. Trends in avoidable mortality can be seen as an overall comparative measure of progress in cancer control between Britain and the rest of Europe.

Materials and methods

Detailed cancer survival data from the EUROCARE-2, -3 and -4 studies are available by sex and age at diagnosis (15–44, 45–54, 55–64, 65–74, 75–99 years) (Berrino et al, 1999a, 2007; Carrani et al, 1999; Roazzi et al, 2003). The cancers included represent about 93% of all malignant neoplasms (excluding non-melanoma skin cancer) diagnosed in adults in Britain during 1985–1999; the remaining 7% are mostly ill defined, and avoidable deaths from these cancers were not estimated.

Thirteen of the 19 European countries outside the United Kingdom that participated in EUROCARE-4 also participated in the EUROCARE-2 and EUROCARE-3 studies. We used data from these 13 countries to simplify the interpretation of changes in avoidable mortality. Population coverage by contributing registries was unchanged in four countries with national coverage, but it changed (usually increased) between successive EUROCARE studies in the other nine countries (Table 1). We used all the data from these 13 countries, rather than restrict the comparison to the individual cancer registries that contributed to all three studies.

Table 1. National population (thousands), coverage (%) by participating registries and contribution to European ‘highest’ survival, by calendar period: countries included in EUROCARE-2, EUROCARE-3 and EUROCARE-4 studies.

  1985–1989 (EUROCARE-2)
1990–1994 (EUROCARE-3)
1995–1999 (EUROCARE-4)
 
Country Population Coverage Highest survivala Population Coverage Highest survivala Population Coverage Highest survivala Change in coverage
Austria 8030 7.8 NA 7930 8.0 NA 7965 100.0 NA Yesb
Denmark 5140 100.0 9 5205 100.0 4 5275 100.0 5 No
England 51 000 49.6 49 310 62.6 49 331 100.0 Yesb
Finland 4986 100.0 12 5023 100.0 12 5132 100.0 14 No
Francec 56 735 3.0–5.6 15 56 567 2.9–5.6 15 58 738 10.5–14.7 14 Yesb
Germany 62 702 1.7 9 82 183 2.8 14 82 012 1.3 17 Yesb
Iceland 255 100.0 8 267 100.0 9 271 100.0 7 No
Italy 57 661 9.7 12 56 318 15.3 10 56 876 25.3–27.4 12 Yesb
Netherlandsd 14 951 5.7–20.5 12 15 047 23.7 14 15 567 34.0 16 Yesb
Poland 38 119 6.2 2 38 370 6.1 0 38 639 9.0 4 Yesb
Scotland 5100 100.0 5119 100.0 5086 100.0 No
Slovenia 2000 100.0 3 2072 100.0 1 1987 100.0 4 No
Spaind 38 959 9.6–12.9 14 38 714 9.6–14.4 17 39 525 12.2–16.3 7 Yesb
Sweden 8414 17.5 22 8918 100.0 22 8844 100.0 17 Yesb
Switzerlandd 6712 11.8 NA 6914 11.9 NA 7081 27.1–46.8 NA Yesb
Wales   NA 2925 100.0 2901 100.0 Yesb
  360 764     380 882     385 232      

Abbreviation: NA=not applicable.

The following countries did not participate in all three studies, so their data were not included (see text): Belgium (58% coverage of the national population of 10.2 million in EUROCARE-4), Czech Republic (8%,10.2 million), Ireland (100%, 4.1 million), Malta (100%, 0.4 million), Northern Ireland (100%, 1.7 million), Norway (100%, 4.6 million) and Portugal (43%, 10.5 million).

a

Number of cancers included in the analyses for which this country contributed one of the three highest age-standardised relative survival estimates in the EUROCARE study (both sexes combined) for this period. Switzerland and Austria are excluded from the ‘highest’ analysis (see text).

b

Change between successive EUROCARE studies: Austria: Tyrol (E2, E3); national (E4). England: 7 registries (E2); 8 registries (E3); national (E4). France: 5 registries (E2); 4 registries (E3); 14 registries (E4). Germany: Saarland (E2), plus Munich (E3); minus Munich (E4). Italy: 9 registries (E2); 13 registries (E3); 21 registries (E4). Netherlands: 2 registries (E2); 2 registries (E3); 3 registries (E4). Poland: 2 registries (E2, E3); 3 registries (E4). Spain: 6 registries (E2); 6 registries (E3); 8 registries (E4). Sweden: Southern Region (E2); national (E3, E4). Switzerland: 2 registries (E2, E3); 7 registries (E4). Wales: not included in E2, national (E3, E4), see text for details.

c

These include specialised cancer registries for certain cancers.

d

Data for selected cancers in one or more periods.

The European mean 5-year survival was calculated for each cancer, age group and sex, as the mean of the survival estimates from the 13 countries, weighted by the proportion of patients included in the EUROCARE-4 data for that country, for that cancer and that sex. This simply reflects the different size of the data sets from each country: it does not assume that regional survival figures can be extrapolated nationally. Using a fixed set of weights avoids the artificial change in the European mean survival that would otherwise occur as a result of the varying proportional contributions by different countries to successive EUROCARE studies. To avoid bias, data from England, Scotland and Wales were not used in calculating the European mean survival, because they constituted a large fraction of the total data for Europe. For the less common cancers in some of the smaller data sets, age–sex cells occasionally contained small numbers of patients: if the 5-year survival estimate in such cells was zero or missing, we substituted the survival estimate for the adjacent age group for that country, cancer and sex.

The ‘highest’ European survival in each calendar period was identified as follows. First, as with the European mean survival, we excluded survival in England, Scotland and Wales. Second, to avoid criticism levelled at the data from Austria and Switzerland, where survival has tended to be high, we also excluded data from those countries. Further, to avoid giving undue emphasis to extremely high survival observed in any one region or country among the remaining 11 countries, we identified, for each cancer, the three countries with the highest age–sex-standardised relative survival. The frequency with which countries contributed to the highest European survival estimate under these constraints is shown in Table 1. For a given cancer, age group and sex, the highest European survival was then taken as the average of the survival estimates in those three countries, weighted by their contribution to the EUROCARE-4 data. If a component estimate was not available, the same tactic was used as for the mean European survival.

National data (100% coverage) were available from Scotland for all three studies. In England, 7 of the then 11 English regional cancer registries contributed data on adults diagnosed during 1985–1989 to the EUROCARE-2 study (49.6% population coverage). Survival in the English regions that contributed to EUROCARE-2 was generally similar to that in England and Wales as a whole. Coverage of England rose to 62.6% for EUROCARE-3 (1990–1994) and to 100% for EUROCARE-4 (1995–1999).

Data for Wales were not included in EUROCARE-2, but national data (100% coverage) were included in EUROCARE-3 and -4. The population of Wales (2.9 million) is about 6% that of England, and differences in survival between Wales and England for most cancers were not large, either for patients diagnosed during the period 1980–1990 (Coleman et al, 1999), or for those diagnosed during 1990–1994 (Sant et al, 2003). To estimate avoidable cancer deaths during 1985–1989 for Great Britain as a whole, including Wales, we assumed that cancer incidence and survival in Wales in that period had been the same as in England for each cancer, sex and age group. In effect, the number of avoidable deaths estimated for England for the period 1985–1989 was inflated by some 6% to account for the population of Wales. We checked the impact of this approach by using it for 1990–1994 (EUROCARE-3) and 1995–1999 (EUROCARE-4): it gave very similar results to those obtained from the data that were actually contributed by Wales to those studies (results not shown).

The overall mortality in a cohort of cancer patients can be divided into two components, the background mortality (expected from all-cause death rates in the general population), and the excess mortality, which is then attributable to the cancer (Figure 1). Relative survival reflects the excess mortality among cancer patients, over and above the background mortality in the country or region where they live (Berkson and Gage, 1950; Estève et al, 1990, 1994); background mortality varies two-fold or more across Europe (Micheli et al, 1999). ‘Avoidable’ deaths are then the component of excess (cancer-related) mortality that would not occur if relative survival were at the higher level seen in a comparator population, instead of what was actually observed. In Figure 1, for example, avoidable deaths comprise 27% of the overall excess mortality.

Figure 1.

Figure 1

Partition of the annual number of deaths in cancer patients within 5 years of diagnosis into the number expected from background mortality and the excess deaths (attributable to cancer), showing the proportion of the excess deaths that would be avoidable (27%) if relative survival had reached the higher level seen in a comparator population. Note: numbers are of deaths occurring in cancer patients, not deaths certified as due to the cancer in question (see text).

The number of avoidable deaths was calculated separately for England, Scotland and Wales, for each age group and sex, and for each cancer, against both the mean and the highest survival in Europe. Avoidable deaths within 5 years of diagnosis are expressed both as the absolute number of deaths per year and as the percentage of the excess mortality for each cancer and calendar period. We refer to this avoidable mortality within 5 years of diagnosis as the number or proportion of ‘avoidable premature deaths’ in cancer patients.

A standardisation approach was used (Richards et al, 2000). Briefly, for each cancer, sex and age group, the number of avoidable deaths within 5 years of diagnosis was calculated as the difference in 5-year relative survival between the value for England, or Scotland, or Wales, and the corresponding aggregate (mean or highest) value for Europe, multiplied by the expected survival and the total number of incident cases in England, Scotland or Wales for that age group and sex (see Appendix). As cancer patients may die of causes other than cancer, the number of avoidable deaths is calculated by applying the difference in relative survival only to the expected number of survivors based on the background mortality, and not to the total number of patients. The avoidable deaths for each cancer, age group, sex and country were then summed to produce the total for Britain.

It has been argued that the EUROCARE study produces under-estimates of the true level of survival in Britain (or conversely that survival in other countries is too high). We therefore carried out some sensitivity analyses, by re-computing the avoidable mortality after assuming that 5-year relative survival in England, Scotland and Wales was either 2% or 3% higher, for each cancer and for each sex and age group, than was actually reported in the EUROCARE studies.

Results are presented separately for 22 common malignancies, including the four main types of leukaemia combined (Table 2). Results for 17 less common cancers examined in the EUROCARE study were calculated separately, but are presented as a combined group (‘other cancers’).

Table 2. Avoidable deaths – number of deaths (and percentage of excess deathsa) that would be avoidable in Great Britain within 5 years of diagnosis, based on the mean (or the highest) survival estimates for 13 other countries in Europe: selected cancers, adults (15–99 years) diagnosed during 1985–1989, 1990–1994 and 1995–1999.

  Patients diagnosed in Great Britain during 1985–1989
Patients diagnosed in Great Britain during 1990–1994
Patients diagnosed in Great Britain during 1995–1999
      Avoidable deaths based on:
    Avoidable deaths based on:
    Avoidable deaths based on:
      Mean European survivalb
Highest European survivalb
    Mean European survivalb
Highest European survivalb
    Mean European survivalb
Highest European survivalb
Malignancy No. of patients Excess deathsa No. % No. % No. of patients Excess deathsa No. % No. % No. of patients Excess deathsa No. % No. %
Oral cavity 4107 2164 43 2.0 558 25.8 4993 2349 −239 −10.2 119 5.1 5527 2544 −188 −7.4 257 10.1
Oesophagus 21 959 20 161 247 1.2 282 1.4 27 409 24 965 −163 −0.7 363 1.5 29 078 26 418 246 0.9 665 2.5
Stomach 48 192 42 851 3483 8.1 5059 11.8 46 755 40 725 3672 9.0 5013 12.3 41 705 35 632 3137 8.8 4143 11.6
Colon 74 591 43 995 4090 9.3 7303 16.6 86 095 47 109 4376 9.3 6889 14.6 88 908 45 354 4295 9.5 5581 12.3
Rectum 46 859 28 200 1691 6.0 3600 12.8 52 605 29 179 1662 5.7 4144 14.2 56 312 27 866 1220 4.4 2848 10.2
Pancreas 24 822 24 014 193 0.8 133 0.6 26 462 25 360 −76 −0.3 95 0.4 26 002 25 085 124 0.5 363 1.4
Larynx 8019 2759 −186 −6.8 582 21.1 8934 3145 −181 −5.7 327 10.4 9761 3530 111 3.2 585 16.6
Lung 163 781 153 415 3548 2.3 6432 4.2 168 693 156 651 3735 2.4 7270 4.6 156 854 145 571 4923 3.4 6550 4.5
Melanoma 17 526 3722 152 4.1 969 26.0 22 059 4247 354 8.3 1358 32.0 26 469 4205 220 5.2 926 22.0
Breast 124 499 41 907 7541 18.0 14 483 34.6 153 354 40 937 6165 15.1 10 619 25.9 170 651 36 632 5475 14.9 9831 26.8
Cervix uteri 20 656 7748 302 3.9 1116 14.4 18 170 6611 204 3.1 983 14.9 14 253 5293 462 8.7 899 17.0
Corpus uteri 17 562 4967 598 12.0 1518 30.6 19 170 5182 811 15.7 1191 23.0 20 711 4923 524 10.6 1230 25.0
Ovary 22 861 16 102 1064 6.6 2431 15.1 25 241 17 567 1670 9.5 2377 13.5 26 261 17 754 1801 10.1 2394 13.5
Prostate 54 318 30 015 4285 14.3 7422 24.7 77 728 36 221 7335 20.3 11 739 32.4 103 045 33 219 5758 17.3 7958 24.0
Testis 6098 600 102 17.1 123 20.5 7311 499 80 16.0 89 17.8 8676 392 −39 −10.0 −14 −3.4
Bladder 52 697 19 429 −232 −1.2 2910 15.0 59 173 19 650 1048 5.3 2136 10.9 55 925 20 320 752 3.7 1462 7.2
Kidney 15 922 9887 1682 17.0 2007 20.3 20 445 12 093 2644 21.9 3183 26.3 23 212 12 697 2686 21.2 3521 27.7
Brain 12 714 10 778 367 3.4 602 5.6 15 331 12 872 262 2.0 836 6.5 16 224 13 872 295 2.1 1127 8.1
Hodgkin disease 5830 1628 189 11.6 244 15.0 5987 1482 214 14.4 245 16.5 6122 1218 132 10.8 247 20.3
Non-Hodgkin lymphoma 25 195 14 130 603 4.3 1224 8.7 32 180 16 967 1311 7.7 1475 8.7 36 941 18 014 632 3.5 1625 9.0
Multiple myeloma 11 497 9200 986 10.7 1049 11.4 13 193 10 147 847 8.4 1731 17.1 14 507 10 581 703 6.6 1238 11.7
Leukaemia 16 352 11 832 535 4.5 1828 15.4 22 894 14 797 224 1.5 1376 9.3 25 703 15 018 191 1.3 1201 8.0
Other cancers c
 GB survival higherd 7211 2592 −150 −5.8 −108 −4.2 15 214 6459 −244 −3.8 0 NA 22 406 11 215 −623 −5.6 −107 −1.0
 GB survival lowerd 36 283 24 174 1370 5.7 2328 9.6 37 122 25 504 1006 3.9 1976 7.7 35 533 22 581 1154 5.1 2468 10.9
All cancers (over 5-year period)
 GB survival higherd 67 927 24 780 −568 −0.1 −108 0.0 83 012 62 278 −903 −0.2 0 0.0 36 609 14 151 −850 −0.2 −121 0.0
 GB survival lowerd 771 624 501 490 33 071 6.3 64 203 12.2 883 506 498 440 37 620 6.7 65 534 11.7 984 177 525 783 34 841 6.5 57 119 10.6
Total 839 551 526 270         966 518 560 718         1 020 786 539 934        
                                     
All cancers (annual avoidable deaths)
 GB survival higherd     −114   −22       −181   0       −170   −24  
 GB survival lowerd   100 298 6614   12 841     99 688 7524   13 107     105 157 6968   11 424  
a

Difference between the number of deaths observed among cancer patients within 5 years of diagnosis, and the number expected from background mortality by age and sex in Britain (see text).

b

Based on relative survival estimates from EUROCARE-2 study for 1985–89 patients, EUROCARE-3 study for 1990–94 patients and EUROCARE-4 study for 1995–99 patients (see text).

c

Sum for 17 other cancers, analysed separately (data not shown).

d

Numbers of avoidable deaths summed separately according to whether survival in Great Britain was higher or lower than the mean (or highest) European survival estimate.

Results

European mean survival

Among the 839 551 adults (15–99 years) diagnosed with one of the cancers included in the study in Great Britain during the 5 years 1985–1989, there were 526 270 deaths in excess of the background mortality in the general population within 5 years of diagnosis. For those cancers with lower 5-year survival in Britain than in Europe, 33 071 of these excess deaths would have been avoided if European mean survival had been achieved for each cancer in each sex and age group (Table 2; Figure 2). This represents 6614 premature cancer deaths per year, or 6.3% of the overall excess mortality for these cancers. For those cancers for which 5-year survival was generally higher in Britain, 568 premature deaths were avoided, or 114 deaths per year.

Figure 2.

Figure 2

Annual number of deaths within 5 years of diagnosis that would be avoidable among cancer patients in Britain if relative survival were equal to the mean European survival: 22 common cancers, patients diagnosed 1985–1989, 1990–1994, 1995–1999,

Among the 966 518 cancer patients diagnosed during 1990–1994, there were 560 718 excess deaths within 5 years of diagnosis. For the cancers with lower survival in Britain, 37 620 of these excess deaths would have been avoided if the mean 5-year relative survival observed in the 13 other European countries had been achieved. This represents 7524 premature deaths per year, or 6.7% of the excess mortality in cancer patients within 5 years. Where survival in Britain was generally higher than in Europe, 903 premature deaths were avoided, or 181 per year.

Of the 1 020 786 cancer patients diagnosed during 1995–1999, 539 934 excess deaths occurred within 5 years of diagnosis. For cancers with lower survival in Britain, about 34 841 of these excess deaths would have been avoided if the mean European survival had been achieved. This represents 6968 premature deaths a year, or 6.5% of the overall excess mortality from these cancers. Among the several cancers for which survival in Britain was generally higher than in Europe, 850 premature deaths were avoided, or 170 per year.

For patients diagnosed during 1985–1989, the largest numbers of avoidable deaths within 5 years of diagnosis arose for cancers of the breast (7541, about 18% of excess deaths from this cancer), prostate (4285, 14%), colon (4090, 9%), lung (3548, 2%) and stomach (3483, 8%). Over 10% of excess deaths were also potentially avoidable for cancers of the kidney (1682, 17%), testis (102, 17%) and uterus (598, 12%), and for Hodgkin disease (189, 12%) and myeloma (986, 11%).

For patients diagnosed during 1990–1994, the largest numbers of avoidable deaths were seen for cancers of the prostate (7335, 20%), breast (6165, 15%), colon (4376, 9%), lung (3735, 2%), stomach (3672, 9%) and kidney (2644, 22%). More than 10% of excess deaths within 5 years of diagnosis were also potentially avoidable for cancers of the uterus (811, 16%) and testis (80, 16%), and for Hodgkin disease (213, 14%).

For patients diagnosed during 1995–1999, most of the avoidable deaths within 5 years arose for cancers of the prostate (5758, 17%), breast (5475, 15%), lung (4923, 3%), colon (4295, 10%), stomach (3137, 9%) and kidney (2686, 21%). At least 10% of excess deaths were also potentially avoidable for cancers of the uterus (524, 11%) and ovary (1801, 10%), and Hodgkin disease (132, 11%).

Compared with the mean survival in 13 European countries that contributed data to the three most recent EUROCARE studies (-2, -3 and -4), avoidable cancer mortality within 5 years of diagnosis in Britain changed from 6614 deaths a year for patients diagnosed during 1985–1989, to 7524 deaths a year for 1990–1994 and 6968 deaths a year for 1995–1999. As a percentage of the overall excess mortality among patients diagnosed with cancers for which there was a survival deficit, avoidable premature mortality was about 6–7% of the total excess mortality within 5 years of diagnosis for all three periods.

Most of the avoidable premature deaths occurred for cancers of the breast, prostate, colon, stomach, lung and kidney. Avoidable mortality has fallen for breast cancer, increased for cancer of the lung, and remained more or less stable for stomach and colon cancers (Figure 2).

For prostate cancer, avoidable mortality rose from the late 1980s to the early 1990s, but fell in the late 1990s. Prostate cancer contributes a large number of avoidable deaths. Compared with the mean survival in Europe, the number of avoidable deaths for all other cancers would change from 6600 (6.3%) to 5757 (5.8%) for patients diagnosed 1985–1989; from 7524 (6.7%) to 6057 (5.8%) for 1990–1994 and from 6968 (6.5%) to 5817 (5.7%) for 1995–1999 (results not shown).

Highest European survival

Among patients diagnosed during 1985–1989, the highest European survival was higher than in Britain for all the 22 common cancers and for all but two of the 17 less common cancers (oropharynx, choroid). Overall, 64 203 excess deaths (over and above background mortality) within 5 years of diagnosis among patients diagnosed in Great Britain would have been avoided if the highest European survival had been achieved for all cancers diagnosed during this period. This represents some 12 841 avoidable premature cancer deaths per year, or about 12.2% of the excess mortality (Table 2; Figure 3).

Figure 3.

Figure 3

Annual number of deaths within 5 years of diagnosis that would be avoidable among cancer patients in Britain if relative survival were equal to the highest European survival: 22 common cancers, patients diagnosed 1985–1989, 1990–1994, 1995–1999.

For patients diagnosed during 1990–1994, the highest European survival was higher than in Britain for all 39 cancers examined. Overall, 65 534 deaths within 5 years of diagnosis would have been avoided if the highest European survival had been achieved for all cancers. This represents 13 107 premature cancer deaths per year, or about 11.7% of the excess mortality.

For patients diagnosed during 1995–1999, the highest European survival was higher than in Britain for all but one of the 22 common cancers. For testicular cancer, survival in Britain was slightly higher (14 premature deaths avoided, or 3% of the excess mortality). Survival was also slightly higher for two of the 17 less common cancers (choroid, and the vagina and vulva). In all, 57 119 deaths within 5 years of diagnosis would have been avoided if survival in Britain had reached the highest levels observed in the 13 comparator countries. This represents 11 424 premature cancer deaths a year, or some 10.6% of the excess mortality from these cancers.

Compared with the highest survival in Europe, avoidable cancer mortality in Britain fell slightly from about 13 000 deaths a year for patients diagnosed during the 10-year period 1985–1994 to about 11 400 deaths a year for those diagnosed during 1995–1999. As a percentage of the overall excess mortality among cancer patients in Britain, avoidable premature mortality fell from 12.2% to 11.7% to 10.6% over these three periods.

The annual number of avoidable deaths has fallen steadily for cancers of the breast, colon and bladder, and the leukaemias, and to a lesser extent for cancers of the stomach, uterus and cervix. Avoidable premature mortality has risen to some extent for tumours of the oesophagus, pancreas, kidney and brain, and for non-Hodgkin lymphoma.

Compared with the highest survival in Europe, avoidable mortality for prostate cancer rose in the early 1990s, but fell in the late 1990s. Exclusion of prostate cancer would reduce the overall estimate of the annual number of avoidable deaths by 1500–2000. The percentage of avoidable premature mortality among all the other cancers would be 1–2% lower, but the downward trend similar, falling from 11.4% for patients diagnosed during 1985–1989 to 10.3% for 1990–1994 and 9.7% for 1995–1999 (results not shown).

Sensitivity analyses

After adding 2% to the 5-year relative survival estimates for each country in Great Britain, for each sex and age group, and for each cancer, the estimated number of premature avoidable deaths, compared with the European mean survival, was 5813 per year (5.6%) among patients diagnosed during 1985–1989. The number increased slightly to 6384 deaths per year (5.8%) for patients diagnosed during 1990–1994 and fell to 5600 deaths per year (5.3%) for patients diagnosed during 1995–1999.

After adding 3% to the 5-year relative survival estimates in Britain, similar calculations suggest 5467 avoidable premature deaths per year among patients diagnosed during 1985–1989, representing 5.3% of the total excess mortality among cancer patients diagnosed in that period. The number increased to 5849 (5.3%) for 1990–1994, but fell to 4954 (4.7%) for patients diagnosed during 1995–1999.

Discussion

The number of deaths among cancer patients within 5 years of diagnosis (‘premature deaths’) that would be avoidable if relative survival in Great Britain were as high as elsewhere in Europe helps to quantify the public health importance of the survival deficit. It tells us how much the excess cancer mortality could be reduced if the mean (or highest) levels of cancer survival in Europe were to be achieved in Britain. For each cancer, the comparison takes account of the level and trends in survival by age and sex in the 13 other European countries we considered, as well as the differences and trends in background mortality between each of those countries and England, Scotland and Wales.

The estimates of avoidable cancer mortality start from the number of patients who were diagnosed each year during the 15 years 1985–1999, and the proportion who survived up to 5 years, after correction for death from other causes. Reducing the number of premature deaths in cancer patients by improving their survival is thus distinct from cancer prevention, which involves long-term reduction in carcinogenic exposures and is evaluated by reduction in the numbers of new cancer patients actually being diagnosed each year. By contrast, reduction of avoidable premature mortality in patients who do develop cancer requires earlier diagnosis and faster access to optimal treatment for all patients.

The number of avoidable deaths depends on both the deficit in relative survival and the number of cancer patients diagnosed in Britain. Thus, if the population were one-half of what it is, but incidence and survival remained constant, the number of avoidable deaths would also be reduced by half, but the percentage of avoidable deaths would be the same. This percentage refers to the number of deaths in cancer patients in excess of the expected mortality, not to the overall number of deaths in cancer patients. This is because we cannot seek to reduce overall mortality in cancer patients to zero. By contrast, the excess mortality would indeed fall to zero if overall mortality among cancer patients were no different from the level in the general population; in other words, if all cancer patients were cured (see Figure 1). In the medium term, the proportion of deaths that would be avoidable if some target level of survival were achieved in Britain, such as the mean survival in other European countries, provides a useful guide to the public health importance of reducing the survival deficit.

Five-year survival is the most widely used measure for international survival comparisons. We therefore estimated the number of excess deaths within the 5 years after a cancer diagnosis.

We were conservative in defining the mean survival in Europe, by including only those countries that contributed to three consecutive EUROCARE studies (-2, -3 and -4). We were also conservative in defining the highest survival in Europe, taking the average of the three highest estimates by age, sex and cancer after the exclusion of Austria and Switzerland. We only weighted the estimates of the mean and highest survival in Europe by the proportion of cases contributed by a given country to the EUROCARE-4 study, and not by the total number of cases diagnosed in that country.

Comparisons of cancer survival in the EUROCARE study between Britain and the rest of Europe have often been criticised as unfair to Britain, either because cancer registries in other countries supposedly create artefactually high survival (for example by failing to follow up adequately those patients with the lowest survival), or because the registries that contribute to EUROCARE are not ‘representative’ of the whole country. These arguments are weak. All cancer registries contributing to EUROCARE meet the international quality criteria for inclusion in the WHO compendium Cancer Incidence in Five Continents (Curado et al, 2007). All data sets in the EUROCARE study are subjected to the same quality control procedures. There is little evidence that cancer registration data are of higher quality in Britain than in most other European countries (Capocaccia et al, 2003).

For some countries, only a small proportion of the population was covered by registries contributing to EUROCARE, and critics have suggested that survival from these registries may not adequately reflect national survival (Moran et al, 2000; Threlfall et al, 2001). The mean European survival estimates used here, however, were weighted only by the numbers of cases actually included in the EUROCARE study, not by the size of the national population: in other words, we made no assumption that survival estimates based on sub-national data sets were representative of the whole country.

Restricting the analyses to countries that have contributed to EUROCARE with national cancer registration coverage would not make the comparison more ‘representative’ of Europe. Only Denmark, Finland, Iceland and Slovenia contributed national data to all three EUROCARE studies considered here, while Austria, Estonia, Ireland, Malta, Norway, Slovakia and Sweden either attained national registration coverage since 1985, or did not contribute national data to all three studies. Apart from the United Kingdom, 9 of the 19 countries in EUROCARE-3 and EUROCARE-4 contributed national data. All five Nordic countries contributed national data, and survival in those countries is generally high, but three of the five eastern European countries, where survival is generally low, also contributed national data (Berrino et al, 2003). Similarly, though survival in France is generally high, and the French data in EUROCARE have covered about 6% of the national population, a large national study covering 14 départements (20% of the population) for patients diagnosed up to 1997 showed very similar survival estimates to those reported in the EUROCARE studies (Grosclaude et al, 2007).

For most cancers, even the highest cancer survival estimates for any English region in the late 1980s were below the mean European survival from EUROCARE-2. Even the survival among the most affluent fifth of all English cancer patients, regardless of their region of residence, was lower than the mean European survival. The highest European survival estimates for patients diagnosed with one of eight major cancers (lung, breast, colon, prostate, bladder, stomach, oesophagus and cervix) during the late 1980s were equal to or higher than the highest survival estimates for patients diagnosed in any of the eight NHS Regions of England, or in Scotland, and higher even than in most of the 95 English Health Authorities, where variation was greater (Romanengo et al, 2002), or in the 15 Scottish Health Boards during the 1990s (Scottish Cancer Intelligence Unit, 2000). It follows that neither the inclusion of sub-national data for England in EUROCARE-2 and -3 nor the increased coverage of other countries in the later EUROCARE studies is likely to have altered the comparative pattern very much.

Nevertheless, we sought to address these criticisms in several ways.

For trends in the number of avoidable deaths compared with the European average, we examined the impact of further restricting the comparison to Denmark, Finland, Iceland and Sweden (Norway only joined from EUROCARE-3), because their cancer registration systems have national coverage and excellent quality (Parkin et al, 1997) and their health systems are broadly similar to that of the United Kingdom. Comparison with the average survival for these four Nordic countries suggested an annual figure of 7465 (7.1%) avoidable cancer deaths in Great Britain within 5 years of diagnosis for patients diagnosed in 1985–1989 (Supplementary Table 1), not massively discrepant with the estimate of 6614 (6.3%) avoidable deaths a year derived by including the data from all the 13 countries considered here.

The estimates of avoidable cancer mortality do depend on the comparability of survival estimates between Britain and the rest of Europe. Avoidable mortality estimates could thus be biased, to the extent that artefacts (e.g. differences between Britain and other countries in diagnostic criteria and investigations, quality of cancer registration data and follow-up, and lead-time bias for cancers subject to mass screening) contribute to the international differences in survival (Berrino et al, 1995a, 1997; Coleman, 1999). However, survival in Britain for melanoma of the skin and cancers of the cervix and uterus has often been as high or higher than the European average, and for testicular cancer, as good as the best. Survival for patients aged 15–44 years in Britain is generally as high as the European mean survival, and differences in survival for children are small (Šteliarová-Foucher et al, 2004). Since the differences in survival are not systematic, as one might expect if they were entirely attributable to artefacts of data collection or analysis, this provides some evidence against those who simply assert that the EUROCARE findings are incredible (Cookson, 2000; Wilkinson, 2009).

To assess trends in avoidable mortality compared with ‘the best in Europe’, as envisaged by the NHS Cancer Plan (Department of Health, 2000) and the Cancer Reform Strategy (Department of Health, 2007), we were conservative. First, we excluded data from two countries that most often had the highest survival in Europe (Switzerland and Austria). Then, for each cancer, age group and sex, we used a weighted average of the relative survival in the three countries with the highest age-standardised survival for that cancer, to avoid undue influence of the most extreme survival observed in Europe on the estimates of avoidable mortality.

We could also have assumed that both incidence and survival in regional cancer registries contributing to EUROCARE were indeed ‘representative’ of the entire country. That would have produced higher values for the European mean survival, by giving greater weight to data from large countries with low population coverage, such as Germany, which often had higher survival than the European mean survival as we actually defined it. Estimates of avoidable mortality in Britain would have been higher if we had done this.

National ‘representativeness’ should not arise: this is not an international contest between rival national teams. Some registries with national coverage report lower survival than in Britain, and others higher, but it is irrational to dismiss population-based survival estimates for the purpose of comparison solely because they are regional rather than national (Coleman et al, 2003). The central issue is whether the estimates of cancer survival in a given country (or a region of a country) that are higher than in Britain can be considered reliable, and whether artefact and/or bias can explain all the differences. If several large populations have attained a level of cancer survival that Britain would wish to emulate, then we need to quantify and explain that difference in terms that help policymakers reduce it. Here, we compared survival in Britain with data from both regional and national registries in 13 European countries. Restricting the comparison to countries with 100% population coverage by registration (or just the Nordic countries) alters the estimate of avoidable mortality, but does not abolish it.

Assuming that survival in Britain was 2–3% higher for each cancer than actually reported in EUROCARE also reduces the estimates of avoidable mortality, but the annual numbers of avoidable deaths are still considerable (Supplementary Tables 2–3). The possible range of avoidable cancer mortality in Britain is highly unlikely to include zero.

Our estimates of the annual number of avoidable cancer deaths are certainly large, whether assessed against the mean or the highest European survival, but they are well below the previous estimates (10 000 and 25 000 deaths a year, respectively), which were acknowledged as crude (Sikora, 1999), and are clearly not plausible.

Prostate cancer contributed a large proportion of the avoidable deaths in each period. If we exclude prostate cancer, the number of avoidable premature deaths a year assessed against the European mean becomes 5800–6000 (5.7–5.8%), compared with 6600–7500 a year using all the data (6.3–6.7%). Assessed against the highest European survival, avoidable premature deaths excluding prostate cancer fell steadily from 11 400 a year (11.4%) to 9800 deaths a year (9.7%). In proportionate terms, this trend is similar to the full estimate: from about 12 800 (12.2%) to 11 400 (10.6%). The rise and fall of avoidable deaths from prostate cancer may reflect the fact that PSA testing became widespread in Britain some 5 years later than in most of the comparator countries (except Denmark), and that the survival deficit between Britain and other European countries for men diagnosed with prostate cancer in the early 1990s had narrowed by the late 1990s.

The estimates of avoidable deaths cover an arbitrary interval of 5 years since diagnosis because 5-year survival data were readily available. If survival differences persist beyond 5 years after diagnosis, the numbers of avoidable deaths will continue to increase with time since diagnosis, and our figures will under-estimate the total avoidable mortality. Conversely, if differences in relative survival decline with time since diagnosis, our figures will over-estimate the total avoidable mortality. Ideally, the number of avoidable deaths would be calculated for each cancer at a time since diagnosis when the survivors have no further excess mortality relative to the general population: the point of ‘cure’ (De Angelis et al, 1999). The point of cure varies between cancers, however, and for some cancers it is difficult to identify. Systematic estimates of the proportion of cancer patients cured in Europe have only recently become available: these are limited to patients diagnosed during the period 1995–1999 (Francisci et al, 2009).

These analyses suggest that for adult cancer patients diagnosed in Britain during 1995–1999, some 6.5% (6968) of the 105 157 cancer-related deaths that occurred each year within 5 years of diagnosis would have been avoided if cancer survival had been equivalent to the mean European level, and 10.6% (11 424) of the deaths if survival had been equivalent to the highest survival in Europe. Trends in avoidable cancer mortality in Britain by comparison with the European mean survival have been fairly steady over the 15 years 1985–1999, reflecting the fact that survival in Britain has often been rising in parallel with the European mean survival (Verdecchia et al, 2009). Trends in avoidable mortality compared with the highest European survival are more favourable, however, reflecting a small but steady improvement in Britain towards the highest levels of cancer survival in Europe.

We have previously estimated that about 2500 deaths a year would have been avoided among adults diagnosed with 1 of 47 cancers in England and Wales during 1986–1990 if socio-economic inequalities in 5-year relative survival had not existed (Coleman et al, 2001). There were some differences from the study reported here in method, geographic coverage, calendar period and the cancers included, but those results suggest that socio-economic differences in survival in Britain may represent up to half the avoidable premature mortality compared with the mean survival in Europe.

The results reported here relate to cancer patients in Britain who were all diagnosed before 2000, when the first national cancer plan was introduced. The results will need updating to examine any impact on avoidable mortality of the national cancer plans in England (Department of Health, 2000), Scotland (Scottish Executive Health Department, 2001) and Wales (Cancer Services Co-ordinating Group, 2006).

Conflict of interest

The authors declare no conflict of interest.

Acknowledgments

We thank Dr Roberta De Angelis and Dr Riccardo Capocaccia, (Istituto Superiore di Sanità, Rome, Italy), for help in checking Table 1 and providing additional data, respectively. We thank Sara Hiom (Cancer Research UK) for expert editorial advice. Dr Stockton was partially funded by the Children with Leukaemia Jane Davidson and Paul O’Gorman Scholarship at the London School of Hygiene and Tropical Medicine.

Appendix

For each cancer, we first calculate a weight for each age, sex and country, wijm, as the number of patients, n, of that age and sex in that country, divided by the total number of cases (all countries):

graphic file with name 6605401e1.jpg

where i indexes age, j sex and m country.

If there were no cases (and thus no survival estimate) in a given age–sex group, we assumed that there was one case, for the purposes of calculation of the weight, and that survival was equal to that in the adjacent age group. This enabled calculation of a full set of weights, but gave virtually zero weight to the imputed survival for that age–sex group in the weighted European average. This approach ensured that for a given cancer, the sum of the weights in a given calendar period was always unity. The weights from the EUROCARE-4 data were applied to the data for each calendar period. For bone cancer, however, the youngest age group was 20–44 years for the first two studies, but 15–44 years in EUROCARE-4, so the EUROCARE-3 weights were applied to both EUROCARE-2 and -3 data.

For a given cancer, the European mean (or highest) relative survival, RSE, in each age and sex group, is then the weighted sum across countries of the age-sex-specific relative survival estimates:

graphic file with name 6605401e2.jpg

where m=13 countries for the mean European survival and 3 for the highest European survival.

Then, for each cancer and each calendar period of diagnosis (1985–1989, 1990–1994, 1995–1999) and each country (England, Scotland, Wales), the number of avoidable deaths within 5 years of diagnosis in each age group and sex is calculated as the product of the number of cases, the expected survival and the difference between the mean (or highest) 5-year relative survival for each age and sex group in Europe and the corresponding relative survival in England, Scotland, Wales. This product is summed over age, sex and country in Great Britain for each 5-year period, and divided by 5 to present an annual number of avoidable deaths:

graphic file with name 6605401e3.jpg

where, for each age group i and each sex j:

NC is the number of cases diagnosed in country C (England, Scotland or Wales) during the 5-year periods 1985–1989, 1990–1994 or 1995–1999. For 1985–1989, the number of cases for Wales was assumed to be 6% of the number for England, and survival in Wales was assumed to be the same as in England; ESC is the expected survival for country C (England, Scotland or Wales); RSE is the mean or highest relative survival, as defined (see text), in EUROCARE-2 (1985–1989), EUROCARE-3 (1990–1994) or EUROCARE-4 (1995–1999); RSC is the relative survival for country C (England, Scotland or Wales).

Footnotes

Supplementary Information accompanies the paper on British Journal of Cancer website (http://www.nature.com/bjc)

Supplementary Material

Supplementary Tables 1–3

References

  1. Berkson J, Gage RP (1950) Calculation of survival rates for cancer. Proc Staff Meet Mayo Clinic 25: 270–286 [PubMed] [Google Scholar]
  2. Berrino F, Capocaccia R, Coleman MP, Estève J, Gatta G, Hakulinen T, Micheli A, Sant M, Verdecchia A (eds) (2003) EUROCARE-3: the survival of cancer patients diagnosed in Europe during 1990–1994. Ann Oncol 14(Suppl 5): 1–15512488285 [Google Scholar]
  3. Berrino F, Capocaccia R, Estève J, Gatta G, Hakulinen T, Micheli A, Sant M, Verdecchia A, EUROCARE Working Group (1999a) Survival of Cancer Patients in Europe: the EUROCARE-2 Study (CDROM). International Agency for Research on Cancer (WHO): Lyon [Google Scholar]
  4. Berrino F, Capocaccia R, Estève J, Gatta G, Hakulinen T, Micheli M, Sant M, Verdecchia A (eds) (1999b) Survival of Cancer Patients in Europe: the EUROCARE-2 Study (IARC Scientific Publications No. 151). International Agency for Research on Cancer: Lyon [Google Scholar]
  5. Berrino F, De Angelis R, Sant M, Rosso S, Lasota MB, Coebergh JWW, Santaquilani M, EUROCARE Working Group (2007) Survival for eight major cancers and all cancers combined for European adults diagnosed in 1995–1999: results of the EUROCARE-4 study. Lancet Oncol 8: 773–783 [DOI] [PubMed] [Google Scholar]
  6. Berrino F, Estève J, Coleman MP (1995a) Basic issues in the estimation and comparison of cancer patient survival. In Survival of Cancer Patients in Europe: the EUROCARE Study (IARC Scientific Publications No. 132), Berrino F, Sant M, Verdecchia A, Capocaccia R, Hakulinen T, Estève J (eds), pp 1–14. International Agency for Research on Cancer (WHO): Lyon [Google Scholar]
  7. Berrino F, Micheli A, Sant M, Capocaccia R (1997) Interpreting survival differences and trends. Tumori 83: 9–16 [DOI] [PubMed] [Google Scholar]
  8. Berrino F, Sant M, Verdecchia A, Capocaccia R, Hakulinen T, Estève J (eds) (1995b) Survival of Cancer Patients in Europe: the EUROCARE Study (IARC Scientific Publications No. 132). International Agency for Research on Cancer: Lyon [Google Scholar]
  9. Cancer Services Co-ordinating Group (2006) Designed to Tackle Cancer in Wales: A Welsh Assembly Government Policy Statement. Welsh Assembly Government: Cardiff [Google Scholar]
  10. Capocaccia R, Gatta G, Roazzi P, Carrani E, Santaquilani M, De Angelis R, Tavilla A, EUROCARE Working Group (2003) The EUROCARE-3 database: methodology of data collection, standardisation, quality control and statistical analysis. Ann Oncol 14(Suppl 5): 14–27 [DOI] [PubMed] [Google Scholar]
  11. Carrani E, Roazzi P, Capocaccia R (1999) Organization and use of the EUROCARE-2 compact disk. In Survival of Cancer Patients in Europe: the EUROCARE-2 Study (IARC Scientific Publications No. 151), Berrino F, Capocaccia R, Estève J, Gatta G, Hakulinen T, Micheli M, Sant M, Verdecchia A (eds), pp 569–572. International Agency for Research on Cancer: Lyon [Google Scholar]
  12. Coleman MP (1999) Why the variation in breast cancer survival in Europe? Breast Cancer Res 1(Suppl 1): 22–26; http://breast-cancer-research.com/vol1no1/07oct99/editorial/3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Coleman MP, Babb P, Damiecki P, Grosclaude PC, Honjo S, Jones J, Knerer G, Pitard A, Quinn MJ, Sloggett A, De Stavola BL (1999) Cancer Survival Trends in England and Wales 1971–1995: Deprivation and NHS Region (Studies on Medical and Population Subjects No. 61). The Stationery Office: London [Google Scholar]
  14. Coleman MP, Babb P, Quinn MJ, Sloggett A, De Stavola BL (2001) Socio-economic inequalities in cancer survival in England and Wales. Cancer 91: 208–216 [DOI] [PubMed] [Google Scholar]
  15. Coleman MP, Gatta G, Verdecchia A, Estève J, Sant M, Storm HH, Allemani C, Ciccolallo L, Santaquilani M, Berrino F, EUROCARE Working Group (2003) EUROCARE-3 summary: cancer survival in Europe at the end of the 20th century. Ann Oncol 14(Suppl 5): 128–149 [DOI] [PubMed] [Google Scholar]
  16. Cookson JB (2000) Cancer survival. Lancet 356: 1611. [DOI] [PubMed] [Google Scholar]
  17. Curado MP, Edwards BK, Shin HR, Storm HH, Ferlay J, Heanue M, Boyle P (eds) (2007) Cancer Incidence in Five Continents. Vol. IX. IARC Scientific Publications No. 160. IARC: Lyon [Google Scholar]
  18. De Angelis R, Capocaccia R, Hakulinen T, Soderman B, Verdecchia A (1999) Mixture models for cancer survival analysis: application to population-based data with covariates. Stat Med 18: 441–454 [DOI] [PubMed] [Google Scholar]
  19. Department of Health (1999) Challenging Cancer. Department of Health: London [Google Scholar]
  20. Department of Health (2000) The NHS Cancer Plan. Department of Health: London [Google Scholar]
  21. Department of Health (2007) Cancer Reform Strategy. Department of Health: London [Google Scholar]
  22. Estève J, Benhamou E, Croasdale M, Raymond L (1990) Relative survival and the estimation of net survival: elements for further discussion. Stat Med 9: 529–538 [DOI] [PubMed] [Google Scholar]
  23. Estève J, Benhamou E, Raymond L (1994) Statistical Methods in Cancer Research, Vol. IV. Descriptive Epidemiology (IARC Scientific Publications No. 128). International Agency for Research on Cancer: Lyon [PubMed] [Google Scholar]
  24. Francisci S, Capocaccia R, Grande E, Santaquilani M, Simonetti A, Allemani C, Gatta G, Sant M, Zigon G, Bray F, Janssen-Heijnen MLG, EUROCARE-4 Working Group (2009) The cure of cancer: a European perspective. Eur J Cancer 45: 1067–1079 [DOI] [PubMed] [Google Scholar]
  25. Grosclaude PC, Bossard N, Remontet L, Belot A, Arveux P, Bouvier A-M, Launoy G, Maynadié M, Velten M, Faivre J, Estève J (eds) (2007) Survie des patients atteints de cancer en France: étude des registres du réseau FRANCIM [French Cancer Registry Network], pp 1–406. Springer: Lyon [Google Scholar]
  26. Kelly R (2002) Cancer deaths. Commons Hansard [Parliamentary Record] 11 March: c703W–c704W
  27. Micheli A, De Angelis G, Giorgi Rossi A, Capocaccia R (1999) General mortality and the survival of cancer patients in Europe. In Survival of Cancer Patients in Europe: the EUROCARE-2 Study (IARC Scientific Publications No. 151), Berrino F, Capocaccia R, Estève J, Gatta G, Hakulinen T, Micheli A, Sant M, Verdecchia A (eds), pp 63–71. International Agency for Research on Cancer: Lyon [Google Scholar]
  28. Moran T, Collins S, Gibbs A, Woodman CBJ (2000) Survival of patients with colon cancer in Europe: a cautionary tale. Colorect Dis 2: 190–192 [DOI] [PubMed] [Google Scholar]
  29. Parkin DM, Whelan SL, Ferlay J, Raymond L, Young JL (eds) (1997) Cancer Incidence in Five Continents, Vol. VII (IARC Scientific Publications No. 143). International Agency for Research on Cancer: Lyon [Google Scholar]
  30. Richards MA, Stockton DL, Babb P, Coleman MP (2000) How many deaths have been avoided through improvements in cancer survival? Br Med J 320: 895–898 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Roazzi P, Capocaccia R, Santaquilani M, Carrani E, EUROCARE Working Group (2003) Electronic availability of EUROCARE-3 data: a tool for further analysis. Ann Oncol 14(Suppl 5): 150–155 [DOI] [PubMed] [Google Scholar]
  32. Romanengo M, Cooper N, Robinson C, Malalgoda M, Quinn MJ, Coleman MP (2002) Cancer survival in the health authorities of England, 1993–2000. Health Stat Q 13: 95–103 [Google Scholar]
  33. Sant M, Aareleid T, Berrino F, Bielska Lasota M, Carli P-M, Faivre J, Grosclaude PC, Hédelin G, Matsuda T, Møller H, Moller T, Verdecchia A, Capocaccia R, Gatta G, Micheli A, Santaquilani M, Roazzi P, Lisi D, EUROCARE Working Group (2003) EUROCARE-3: survival of cancer patients diagnosed 1990–1994 – results and commentary. Ann Oncol 14(Suppl 5): 61–118 [DOI] [PubMed] [Google Scholar]
  34. Scottish Cancer Intelligence Unit (2000) Trends in Cancer Survival in Scotland 1971–1995. Information and Statistics Division: Edinburgh [Google Scholar]
  35. Scottish Executive Health Department (2001) Cancer in Scotland: Action for Change. Scottish Executive Health Department: Edinburgh [Google Scholar]
  36. Sikora K (1999) Cancer survival in Britain: is poorer than that of her comparable European neighbours. Br Med J 319: 461–462 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Šteliarová-Foucher E, Stiller CA, Kaatsch P, Berrino F, Coebergh JWW, Lacour B, Parkin DM (2004) Geographical patterns and time trends of cancer incidence and survival among children and adolescents in Europe since the 1970s (the ACCIS project): an epidemiological study. Lancet 364: 2097–2105 [DOI] [PubMed] [Google Scholar]
  38. Threlfall AG, Collins S, Woodman CBJ (2001) ‘Avoided deaths’ may not be useful for predicting mortality reductions from cancer. Br Med J 321: 1470. [PubMed] [Google Scholar]
  39. Verdecchia A, Guzzanti S, Francisci S, De Angelis R, Bray F, Allemani C, Tavilla A, Santaquilani M, Sant M, EUROCARE Working Group (2009) Survival trends in European cancer patients diagnosed from 1988 to 1999. Eur J Cancer 45: 1042–1066 [DOI] [PubMed] [Google Scholar]
  40. Wilkinson E (2009) Questions remain over validity of EUROCARE data. Lancet 374: 964–965 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Tables 1–3

Articles from British Journal of Cancer are provided here courtesy of Cancer Research UK

RESOURCES