Trends in survival of chronic lymphocytic leukemia patients in Germany and the USA in the first decade of the twenty-first century
© Pulte et al. 2016
Received: 1 February 2016
Accepted: 11 March 2016
Published: 22 March 2016
Recent population-based studies in the United States of America (USA) and other countries have shown improvements in survival for patients with chronic lymphocytic leukemia (CLL) diagnosed in the early twenty-first century. Here, we examine the survival for patients diagnosed with CLL in Germany in 1997–2011.
Data were extracted from 12 cancer registries in Germany and compared to the data from the USA. Period analysis was used to estimate 5- and 10-year relative survival (RS).
Five- and 10-year RS estimates in 2009–2011 of 80.2 and 59.5 %, respectively, in Germany and 82.4 and 64.7 %, respectively, in the USA were observed. Overall, 5-year RS increased significantly in Germany and the difference compared to the survival in the USA which slightly decreased between 2003–2005 and 2009–2011. However, age-specific analyses showed persistently higher survival for all ages except for 15–44 in the USA. In general, survival decreased with age, but the age-related disparity was small for patients younger than 75. In both countries, 5-year RS was >80 % for patients less than 75 years of age but <70 % for those age 75+.
Overall, 5-year survival for patients with CLL is good, but 10-year survival is significantly lower, and survival was much lower for those age 75+. Major differences in survival between countries were not observed. Further research into ways to increase survival for older CLL patients are needed to reduce the persistent large age-related survival disparity.
Chronic lymphocytic leukemia (CLL) is a relatively common form of leukemia with a varied prognosis, with some patients having the condition without significant pathology and requiring no treatment for many years while others rapidly require treatment . A number of clinical markers and patient characteristics are used to determine when a patient would need treatment and what type of treatment is offered .
Survival for patients with CLL has been documented to have improved on a population level between the 1980s and early twenty-first century in the United States of America (USA) . Several recent publications have examined survival for patients with CLL in Europe [4–8], including an analysis of survival of patients with hematologic malignancies in Germany , but data on recent changes in survival for patients with CLL by detailed age groups and gender are lacking.
In 2008, a collaborative project between the German Cancer Research Center (DKFZ) and population-based cancer registries throughout Germany was formed in order to provide comprehensive monitoring of cancer survival throughout Germany [9, 10]. In this study, we provide up-to-date and detailed (age and sex specific) relative survival estimates of German CLL patients based on data from 12 population-based cancer registries, covering 28.05 million inhabitants. We compare the results to data obtained from the Surveillance, Epidemiology, and End Results (SEER) database in order to provide an international comparison using a widely accepted database of known high quality .
A detailed description of the cancer registries from which data were obtained has been previously published [9, 10]. Briefly, data extracted from 12 cancer registries throughout Germany were included. The 12 cancer registries together provide data from a base population of 28.05 million people. Patients aged 15 or older diagnosed with a first malignant tumor in 1997–2011 with a follow-up date through December 2011 were initially identified. Patients with the ICD-10 code C91.1 (CLL) were selected for analysis.
In order to compare population level survival for CLL in Germany with survival in the USA, data from the SEER13 database were analyzed . The same inclusion criteria as for patients from the German cancer registries were applied for the same time period. The SEER13 database includes data from 13 regional cancer centers in the USA, covering a total population of about 41.5 million people. Centers are chosen for inclusion based on their high quality and epidemiologically interesting population groups. The SEER population is considered to be similar to the general US population with respect to most sociodemographic characteristics, although it may be more affluent than average and may have slightly higher-than-average survival for some cancers .
Five- and 10-year relative survival estimates for the time period 2009–2011 were calculated using period analysis. Period analysis provides the most up-to-date long-term survival estimates and has been shown to closely predict long-term survival of patients diagnosed in the period of interest (here, 2009–2011) [13, 14]. Age-adjusted survival estimates were derived by computing weighted sums of age-specific survival estimates, using weights according to the International Cancer Survival Standard  (15–44, 45–54, 55–64, 65–74, and 75+). Because survival for patients with CLL may vary by age and gender, survival was examined by major age groups as above and by gender as well.
In order to minimize the effect of possible differences in the risk of non-CLL-related death on the comparisons, relative survival was calculated. Relative survival was calculated as the ratio of actual survival to expected survival. Expected survival was estimated according to the Ederer II method  using life tables stratified by age, sex, and calendar year obtained from the Federal Statistical Office for Germany and from life tables stratified by age, sex, race, and calendar year for the USA available from the Center for Disease Control and Prevention (CDC) . Differences in 5- and 10-year relative survival between patients in Germany and the USA were tested for statistical significance, overall and by single age groups, using model-based period analysis . In model-based analyses, numbers of deaths were modelled as a function of period of follow-up, age group, and country by Poisson regression with the logarithm of the person-months at risk as offset.
To assess recent trends in survival, 5-year age-standardized relative survival was additionally estimated for the time periods 2003–2005, 2006–2008, and 2009–2011 using modelled period analysis, and trends over time were tested for statistical significance by modelled period analysis. All calculations were carried out using SAS software (version 9.2, SAS, Carey, NC, USA), using macros developed for period and modelled period analysis [18, 19]. Statistical significance was defined by p values of <0.05.
Number of cases and characteristics in Germany and the USA for the period 1997–2011
Source population in 2011 (million)
Median age at diagnosis
Microscopically confirmed (%)
Trend analysis of 5-year-period relative survival for age-group-specific and age-adjusted CLL in Germany and the USA
For patients in the USA, overall age-adjusted 5-year survival estimates were 80.7 % in 2003–2005 and 82.4 % in 2009–2011 (p = 0.1). Analysis by gender likewise showed higher survival among women than among men, with slight, statistically not significant increases in survival over time for both men and women (Table 2). When age-specific analysis was performed, a strong, statistically significant increase in survival was observed for ages 45–54, with an increase of 7.8 % units between 2003–2005 and 2009–2011 (p = 0.0004). In the other age groups, much more subtle, statistically not significant increases were observed.
Five- and 10-year-period relative survival for patients with CLL in 2009–2011
5-year RS (SE) Germany
5-year RS (SE) USA
10-year RS (SE) Germany
10-year RS (SE) USA
Because CLL is not curable but has a long disease course with a high percentage of 5-year survivors, 10-year survival was also calculated. Ten-year relative survival for the years 2009–2011 was 59.5 % for Germany and 64.7 % for the USA (Table 3). Age-specific analysis showed lower 10-year survival for Germany at all ages except for age 15–44, with the largest differences being observed for ages 45–54 and 55–64 (−10.2 and −6.9 % units, respectively) (Table 3). Analysis by gender showed a significantly lower survival for men in Germany at 57.4 versus 63.0 % in the USA (p = 0.0001) and a slightly smaller, not statistically significant difference for women with survival estimates of 63.6 and 67.9 %, respectively, in Germany and the USA. When gender- and age-specific analyses were performed, survival was lower in Germany for each age group and both genders with the exception of men age 15–44. The largest differences were for men at age 55–64 at −11.0 % units (p = 0.005) and men and women age 45–54 at −10.6 % units for both (p = 0.04 for men, p = 0.05 for women).
Overall, 5-year relative survival has reached levels of greater than 75 % or higher in CLL patients in Germany and the USA. Survival estimates varied relatively little between the two countries, although a statistically significant difference was observed for men and for all patients age 45–54 concerning 10-year relative survival. Although survival decreases with age, the decrease is not as abrupt as that seen in some other hematologic malignancies, with survival estimates for ages 45–54 being fairly similar to those for ages 15–44. Five-year relative survival increased only slightly in the calendar periods examined. Ten-year survival was lower than 5-year survival, probably indicating ongoing mortality due to CLL, although due to the nature of the analysis, 10-year survival estimates included older data than 5-year survival estimates. Women had a higher survival estimate in both countries, consistent with prior studies which have shown longer survival and better response to therapy in women .
CLL is a heterogeneous disease with variable presentation. Appropriate therapy can include observation, chemotherapy, chemoimmunotherapy, or hematopoietic stem cell transplant, depending on disease and patient characteristics. Survival for patients with CLL has been documented to have increased since the late twentieth century in most population-based studies [3, 21, 22], although others have found no major difference in survival during similar time periods . Our current data suggest that there continues to be incremental improvement in survival for patients with CLL, which was most pronounced among patients age 45–54 in the period studied. Interestingly, the increase in survival for patients age 45–54 between 2003–2005 and 2009–2011 made this population’s relative survival more similar to that of the next younger age group.
Changes in survival in CLL may be due to better understanding of prognosis, leading to more appropriate therapy, or changes in therapy. Classic prognostic factors in CLL include clinical factors such as Rai stage, age, gender, and comorbid conditions as well as laboratory factors such as lymphocyte doubling time . Additional major prognostic indicators include CD38 expression, presence or absence of mutation in the variable heavy immunoglobin (IgVH), and specific cytogenetic abnormalities . Both CD38 expression and IgVH mutation status were reported as important clinical markers in 1999 [26, 27]. ZAP70 expression has been used as an easier-to-measure proxy for IgVH mutational status . Specific chromosomal abnormalities associated with poor outcomes have been reported since 2000 as well . Other markers of poor prognosis have been proposed [30–32], and thus further refinement of prognostic stratification may be expected to continue.
In terms of treatment, several changes have occurred in the early twenty-first century. Starting in about the year 2000, several clinical trials demonstrated better response and progression-free survival for high risk patients treated with fludarabine versus alkylating agents [33, 34]. Although the monoclonal antibody rituximab is not an effective therapy for CLL as monotherapy, its introduction into combination chemotherapy regimens along with fludarabine and possibly an alkylating agent has led to improved survival for younger and fit patients (though it may be too toxic for older or less fit patients) . Bendamustine is a highly active agent in CLL as well, with response rates approaching 90 % in clinical trials . It has been used for longer in Germany than in the USA but has become one frequently used option in both countries. A trial directly comparing bendamustine and rituximab versus fludarabine, an alkylating agent, and rituximab was recently completed , and initial results suggest fludarabine, cyclophosphamide, and rituximab (FCR) may be superior for fit patients without p17-, but not in older patients or those with more comorbidities. Other agents and combinations of these agents with fludarabine, rituximab, or other agents have increased the options for treating patients with CLL as well . Very recent clinical trials of newer agents such as idelalisib and ibrutinib have shown dramatic improvements in survival in patients with CLL in those trials [38, 39], but the results of these new treatment options will not be evident on the population level for some time. However, data from clinical trials suggest that these and similar agents may substantially alter the natural history of the disease . In addition, they are well tolerated and can be given to patients with poor performance status who make up a large proportion of CLL patients. Thus, current survival expectations for patients with CLL may be underestimated by our study due to changes in treatment that have occurred in the last 3 years and are therefore not yet available in the population level databases. Finally, stem cell transplant is an option for fit patients with poor prognosis disease and otherwise good clinical status . Stem cell transplantation offers the only potential for cure in patients with CLL but is used only in a minority of cases because of the risk of early mortality and morbidity due to the treatment and the relatively low risk nature of many CLL clones.
Strengths of our study include the use of large databases with survival information from a number of regions in each country sampled, allowing for evaluation of survival and subgroup analysis of this relatively rare leukemia and decreasing the risk that survival differences between individual areas in each country will unduly influence the impression of survival in that country overall. Use of population level data provides a more accurate understanding of how probable it is for a patient with a given disease in the general population to survive in contrast to data provided by clinical trials which tend to present the best-case scenario with respect to survival (i.e., only patients with good performance status and few or no comorbidities are generally eligible for clinical trial participation) and may not be realistic for the general population . Additionally, the use of period analysis and modelled period analysis provides the most up-to-date estimates of possible survival [14, 18].
In interpreting our results, several limitations should also be considered. First, despite the large databases, the relative rarity of CLL limits our ability to detect minor differences in survival, especially for younger patients in whom the condition is rarer. Second, in the absence of a national death index in Germany, most cancer registries rely on record linkage with vital statistics from the state that they cover and may miss deaths among patients who move out of the state. Nevertheless, previous validation studies have suggested potential overestimation of survival due to deaths missed by migration to be very small . In the USA, deaths are derived from the National Death Index, and therefore this is less of a problem, though the possibility of missing deaths because patients move out of the country is a potential concern. Third, information on treatment, particularly chemotherapy, and disease biology are very limited or absent in both databases, and therefore we cannot definitely establish the extent to which treatment and differences in disease biology (i.e., frequency of heavy chain rearrangement or chromosomal abnormalities) affect observed differences in survival or changes in survival over time. Fourth, there is some evidence that survival estimates from the SEER database may be higher than survival in the US population in general , so some caution is necessary when comparing survival in the two countries. Fifth, registry samples in Germany have changed over time, i.e., some registries started later, and therefore the underlying population is not entirely consistent throughout the study period. Sixth, changes in the diagnostic criteria of CLL made in 2008 requiring a B-cell count of greater than 5000  may have subtly changed the population diagnosed, resulting in later diagnosis of CLL and therefore a shorter “patient career” for patients diagnosed after that time, potentially obscuring some increases in survival in the later time period. However, any changes due to this issue would be present in both countries.
Finally, several of the newer German registries are still in the build-up phase and the proportion of cases identified by DCO is still relatively high in some of these registries, especially at earlier time points. Exclusion of these DCO cases in the analysis may have led to some overestimation of survival in Germany. As a result, the survival gap between the USA and Germany may have been underestimated to some extent [43, 44].
In summary, high 5-year relative survival for patients with CLL in Germany and the USA are meanwhile observed on the population level, exceeding 90 % in patients age 54 or younger and over 75 % overall. Ongoing increases in survival were observed overall for Germany and in the USA in the first decade of the twenty-first century. Further research into ways to increase survival for older CLL patients are needed to reduce the persistent large age-related survival disparity.
Members of the GEKID Cancer Survival Working Group: Karla Geiss, Martin Meyer (Cancer Registry of Bavaria), Andrea Eberle, Sabine Luttmann (Cancer Registry of Bremen), Roland Stabenow (Cancer Registry of Berlin and the New Federal States), Stefan Hentschel, Alice Nennecke (Hamburg Cancer Registry), Joachim Kieschke, Eunice Sirri (Cancer Registry of Lower Saxony), Bernd Holleczek (Saarland Cancer Registry), Katharina Emrich (Cancer Registry of Rhineland-Palatinate), Hiltraud Kajüter, Volkmar Mattauch (Cancer Registry of North Rhine-Westphalia), Alexander Katalinic (Cancer Registry of Schleswig-Holstein), Benjamin Barnes, Klaus Kraywinkel (Robert Koch Institute, Berlin), Hermann Brenner, Felipe Castro, Lina Jansen, Agne Krilavicuite (German Cancer research Center).
This work was supported in part by a grant from the German Cancer Aid (Deutsche Krebshilfe, no. 108257) and a visiting scientist grant from the German Cancer Research Center to DP.
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- Hallek M, Cheson BD, Catovsky D, et al. Guidelines for the diagnosis and treatment of chronic lymhocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines. Blood. 2008;111(12):5446–56.View ArticlePubMedPubMed CentralGoogle Scholar
- Ghia P, Hallek M. Management of chronic lymphocytic leukemia. Haematologica. 2014;99(6):956–72.View ArticleGoogle Scholar
- Brenner H, Gondos A, Pulte D. Trends in long-term survival of patients with chronic lymphocytic leukemia from the 1980s to the early 21st century. Blood. 2008;111(10):4916–21.View ArticlePubMedGoogle Scholar
- Marcos-Gragera R, Allemani C, Tereanu C, et al. Survival of European patients diagnosed with lymphoid neoplasms in 2000–2002: results of the HAEMACARE project. Haematologica. 2011;96(5):720–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Monnereau A, Troussard X, Belot A, et al. Unbiased estimates of long-term net survival of hematological malignancy patients detailed by major subtypes in France. Int J Cancer. 2013;132(10):2378–87.View ArticlePubMedGoogle Scholar
- van den Broek EC, Kater AP, van de Schans SA. Chronic lymphocytic leukaemia in the Netherlands: trends in incidence, treatment and survival, 1989–2008. Eur J Cancer. 2012;48(6):889–95.View ArticlePubMedGoogle Scholar
- Nennecke A, Wienecke A, Kraywinkel K. Leukemia incidence and survival in Germany according to current standardized categories. Bundesgesundheitsbl. 2013;57:93–102.View ArticleGoogle Scholar
- De Angelis R, Minicozzi P, Sant M, et al. Survival variations by country and age for lymphoid and myeloid malignancies in Europe 2000–2007: results of EUROCARE-5 population-based study. Eur J Cancer. 2015;15(5):2254–68.View ArticleGoogle Scholar
- Hiripi E, Gondos A, Emrich K, et al. Survival from common and rare cancers in Germany in the early 21st century. Ann Oncol. 2012;23(2):472–9.View ArticlePubMedGoogle Scholar
- Jansen L, Castro FA, Gondos A, et al. Recent cancer survival in Germany: an analysis of common and less common cancers. Int J Cancer. 2015;136(11):2649–58.View ArticlePubMedGoogle Scholar
- Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) Research data (1973–2011), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2014, based on the November 2013 submission.
- Mariotto A, Capocaccia R, Verdecchia A, et al. Projecting SEER cancer survival rates to the US: an ecological regression approach. Cancer Causes Control. 2002;13:101–11.View ArticlePubMedGoogle Scholar
- Brenner H, Gefeller O, Hakulinen T. Period analysis for up-to-date cancer survival data: theory, empirical evaluation, computational realization and applications. Eur J Cancer. 2004;40:326–35.View ArticlePubMedGoogle Scholar
- Brenner H, Hakulinen T. Up-to-date long-term survival curves of patients with cancer by period analysis. J Clin Oncol. 2002;20:826–32.View ArticlePubMedGoogle Scholar
- Corazziari I, Quinn M, Capocaccia R. Standard cancer patient population for age standardizing survival ratios. Eur J Cancer. 2004;40:2307–16.View ArticlePubMedGoogle Scholar
- Ederer F, Heise H. Instructions to IBM 650 programmers in processing survival computations. Bethesda: National Cancer Institute; 1959.Google Scholar
- Center for Disease Control and Prevention Publications and Information Products Life Tables http://www.cdc.gov/nchs/products/life_tables.htm.
- Brenner H, Hakulinen T. Up-to-date and precise estimates of cancer patient survival: model-based period analysis. Am J Epidemiol. 2006;164(7):689–96.View ArticlePubMedGoogle Scholar
- Brenner H, Gefeller O, Hakulinen T. A computer program for period analysis of cancer patients survival. Eur J Cancer. 2002;38:690–5.View ArticlePubMedGoogle Scholar
- Catovsky D, Wade R, Else M. The clinical significance of patients’ sex in chronic lymphocytic leukemia. Haematologica. 2014;99(6):1088–94.View ArticlePubMedPubMed CentralGoogle Scholar
- Kristinsson SY, Dickman PW, Wilson WH, Caporaso N, Björkholm M, Landgren O. Improved survival in chronic lymphocytic leukemia in the past decade: a population-based study including 11,179 patients diagnosed between 1973–2003 in Sweden. Haematologica. 2009;94(9):1259–65.View ArticlePubMedPubMed CentralGoogle Scholar
- Abrisqueta P, Pereira A, Rozman C, et al. Improving survival in patients with chronic lymphocytic leukemia (1980–2008): the Hospital Clínic of Barcelona experience. Blood. 2009;114(10):2044–50.View ArticlePubMedGoogle Scholar
- Shvidel L, Braester A, Bairey O, et al. Survival trends among 1325 patients with chronic lymphocytic leukemia seen over the past 40 years in Israel. Am J Hematol. 2011;86(12):985–92.View ArticlePubMedGoogle Scholar
- Nabhan C, Rosen S. Chronic lymphocytic leukemia: a clinical review. JAMA. 2014;312(21):2665–76.View ArticleGoogle Scholar
- Montserrat E. New prognostic markers in CLL. Hematology Am Soc Hematol Educ Program. 2006:279–84.Google Scholar
- Hamblin TJ, Davis Z, Gardiner A, Oscier DG, Stevenson FK. UnmutatedIgV(H) genes are associated with a more aggressive form of chronic lymphocytic leukemia. Blood. 1999;94:848–54.Google Scholar
- Damle RN, Wasil T, Fais F, et al. IgVH gene mutation status and CD38 expression as novel prognostic indicators in chronic lymhocytic leukemia. Blood. 1999;94:1840–7.PubMedGoogle Scholar
- Rosenwald A, ALizadeh AA, Widhopf G, et al. Relation of gene expression phenotype to immunoglobin mutation genotype in B cell chronic lymphocytic leukemia. J Exp Med. 2001;194:1639–47.View ArticlePubMedPubMed CentralGoogle Scholar
- Doehner H, Stilgenbauer S, Benner A, et al. Genomic aberrations and survival in chronic lymphocytic leukemia. N Engl J Med. 2000;343(26):1910–6.View ArticleGoogle Scholar
- Chuang HY, Rassenti L, Salcedo M, et al. Subnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progression. Blood. 2012;120(13):2639–49.View ArticlePubMedPubMed CentralGoogle Scholar
- Pulte D, Furman RR, Broekman MJ, et al. CD39 expression on T lymphocytes correlates with severity of disease in patients with chronic lymphocytic leukemia. Clin Lymphoma Myeloma Leuk. 2011;11(4):367–72.View ArticlePubMedPubMed CentralGoogle Scholar
- Nwabo Kamdje AH, Bassi G, Pacelli L, et al. Role of stromal cell-mediated Notch signalling in CLL resistance to chemotherapy. Blood Cancer J. 2012;2(5):e73.View ArticlePubMedGoogle Scholar
- Rai KR, Peterson BL, Applebaum FR, et al. Fludarabine compared with chlorambucil as primary therapy for chronic lymphocytic leukemia. N Engl J Med. 2000;343(24):1750–7.View ArticlePubMedGoogle Scholar
- Zhu Q, Tan DC, Samuel M, Chan ES, Linn YC. Fludarabine in comparison to alkylator-based regimen as induction therapy for chronic lymphocytic leukemia. Leuk Lymphoma. 2004;45(11):2239–45.View ArticlePubMedGoogle Scholar
- Hallek M, Fischer K, Fingerle-Rowson G, et al. Addition of rituximab to fludarabine and cyclophosphamide in patients with chronic lymphocytic leukaemia: a randomised, open-label, phase 3 trial. Lancet. 2010;376(9747):1164–74.View ArticlePubMedGoogle Scholar
- Fischer K, Cramer P, Busch R, et al. Bendamustine in combination with rituximab for previously untreated patients with chronic lymphocytic leukemia. J Clin Oncol. 2012;30(26):3209–16.View ArticlePubMedGoogle Scholar
- Eichhorst B, Fink AM, Busch R, et al. Frontline chemoimmunotherapy with fludarabine, cyclophosphamide, and rituximab (FCR) shows superior efficacy in comparison to bendamustine and rituximab (BR) in previously untreated and physically fit patients with advanced chronic lymphocytic leukemia: final analysis of an international, randomized study of the German CLL Study Group. Blood. 2014;124(21):19.Google Scholar
- Furman RR, Sharman JP, Coutre SE, et al. Idelalisib and rituximab in relapsed chronic lymphocytic leukemia. N Engl J Med. 2014;370(11):997–1007.View ArticlePubMedPubMed CentralGoogle Scholar
- Byrd JC, Brown JR, Barrientos JC, et al. Ibrutinib versus ofatumumab in previously treated chronic lymphoid leukemia. N Engl J Med. 2014;371(3):213–23.View ArticlePubMedPubMed CentralGoogle Scholar
- Rai KR. Therapeutic potential of new B cell-targeted agents in the treatment of elderly and unfit patients with chronic lymphocytic leukemia. J Hematol Oncol. 2015;8:85.View ArticlePubMedPubMed CentralGoogle Scholar
- Gribben JG, Zahrieh D, Stephans K, et al. Autologous and allogeneic stem cell transplantations for poor-risk chronic lymphocytic leukemia. Blood. 2005;106(13):4389–96.View ArticlePubMedPubMed CentralGoogle Scholar
- Pulte D, Gondos A, Redaniel MT, Brenner H. Survival of patients with chronic myelocytic leukemia: comparisons of estimates from clinical trial settings and population-based cancer registries. Oncologist. 2011;16(5):663–71.View ArticlePubMedPubMed CentralGoogle Scholar
- Brenner H, Holleczek B. Deriving valid population-based cancer survival estimates in the presence of nonnegligible proportions of cancers notified by death certificate only. Cancer Epidemiol Biomarkers Prev. 2011;20(12):2480–6.View ArticlePubMedGoogle Scholar
- Berrino F, Esteve J, Coleman MP. Basic issues in estimating and comparing the survival of cancer patients. IARC Sci Publ. 1995;132:1–14.Google Scholar