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J Natl Cancer Inst. 2008 October 1; 100(19): 1368–1379.
Published online 2008 October 1. doi:  10.1093/jnci/djn310
PMCID: PMC2556702

Cause-Specific Late Mortality Among 5-Year Survivors of Childhood Cancer: The Childhood Cancer Survivor Study



The proportion of pediatric and adolescent cancer patients surviving 5 years has increased during the past four decades. This growing population of survivors remains at risk for disease- and treatment-associated late mortality.


A total of 20 483 five-year survivors of childhood and adolescent cancer diagnosed between January 1, 1970, and December 31, 1986, and enrolled in the Childhood Cancer Survivor Study (CCSS) were included in a National Death Index search for deaths occurring between January 1, 1979, and December 31, 2002. Treatment information was abstracted from primary medical records. Survival probabilities, standardized mortality ratios (SMRs), and absolute excess risks were calculated for overall and cause-specific deaths. Diagnosis- and sex-specific survival probabilities were estimated by the product-limit method. All statistical tests were two-sided.


Among the CCSS cohort, 2821 (13.8%) 5-year survivors had died by the end of the follow-up period. The cause of death was obtained for 2534 individuals, with 57.5% of deaths attributed to recurrent disease. Estimated probability of survival 30 years from diagnosis was 82%. When compared with the US population, the absolute excess risk of death from any cause was 7.36 deaths per 1000 person-years. The overall SMR was 8.4 (95% confidence interval [CI] = 8.0 to 8.7). Increases in cause-specific mortality were seen for deaths due to subsequent malignancy (SMR = 15.2, 95% CI = 13.9 to 16.6) and cardiac (SMR = 7.0, 95% CI = 5.9 to 8.2), pulmonary (SMR = 8.8, 95% CI = 6.8 to 11.2), and other medical (SMR = 2.6, 95% CI = 2.3 to 3.0) causes. At 20 years of follow-up (25 years after first cancer diagnosis), the death rate due to a subsequent malignancy exceeded that due to all other causes.


Our extended follow-up of 5-year survivors of pediatric and adolescent cancer indicates that excess mortality persists long after diagnosis. Continued observation is needed to further define lifetime risk and to determine the potential contribution of chronic health conditions and modifiable health behaviors.

Context and Caveats

Prior knowledge

The number of survivors of pediatric and adolescent cancers has greatly increased. The additional risks of mortality that these individuals face due to their childhood cancer and its treatment need to be quantified.

Study design

Deaths of 5-year survivors of childhood cancer in the Childhood Cancer Survivor Study were obtained from the National Death Index, and treatment information was from medical records. Standard mortality ratios and absolute excess risks were determined, and diagnosis- and sex-specific survival probabilities were calculated by the product-limit method.


With extended follow-up of the largest cohort of 5-year survivors of childhood and adolescent cancer that has been studied, the authors quantified the temporal trends in the increases in mortality that are due to second malignancy, cardiac disease, pulmonary disease, and other causes. The increases were found to persist long after diagnosis, and this study identified some of the factors (eg, type of original cancer, type of treatment) associated with higher mortality in the survivors.


Continued observation of this and similar cohorts is needed to further define lifetime risks of mortality in 5-year survivors and its associations with chronic health conditions and modifiable behaviors.


The reliance on death certificate information may have entailed some inaccuracy in estimates of mortality due to specific causes.

From the Editors

Advances in cancer therapy during the past four decades have resulted in remarkable increases in survival for most cancers of childhood and adolescence. Population-based statistics show the probability of 5-year survival of cancer in those under the age of 20 in the United States to be 80% (1). As a result, more than 7000 individuals are expected to join the more than 300 000 five-year survivors of childhood cancer in the United States in the next year. These long-term survivors are at risk for life-threatening late effects of their childhood cancer including second malignancies, cardiac and vascular abnormalities, and pulmonary complications (27). Previous studies of childhood cancer survivors (816) have shown excesses in long-term mortality and have defined high-risk groups by demographic and treatment characteristics.

The Childhood Cancer Survivor Study (CCSS) is a retrospectively assembled cohort with subsequent prospective follow-up. At the time the CCSS cohort was constructed, we reported on subsequent mortality ascertained as of December 31, 1996, among the 5-year survivors (13). We now report results of an expanded analysis of mortality based on more than 130 000 additional person-years of observation, during which 800 additional deaths occurred. Our objective was not only to describe temporal patterns in cause-specific mortality but also to investigate factors predictive of increased risk for late mortality.

Subjects and Methods

Study Population

The CCSS is a multi-institutional study (see Appendix 1) of individuals who survived for 5 or more years after treatment of cancer diagnosed during childhood or adolescence. Eligibility criteria for CCSS are as follows: 1) diagnosis of leukemia, central nervous system (CNS) malignancies (all histologies), Hodgkin disease, non-Hodgkin lymphoma, malignant kidney tumor, neuroblastoma, soft tissue sarcoma, or bone tumor; 2) diagnosis and initial treatment at one of the 26 collaborating CCSS institutions; 3) diagnosis between January 1, 1970, and December 31, 1986; 4) age at diagnosis less than 21 years; and 5) survival 5 years from the date of diagnosis. Details of the study design, methods, and cohort characteristics have been reported previously (17). The CCSS protocol and contact documents were reviewed and approved by the Human Subjects Committee at each participating institution. Written informed consent was received from all participating subjects 18 years of age or older and from a parent or guardian for subjects under the age of 18.

Cancer Treatment Information

Characteristics of the original cancer diagnosis were obtained from the treating institution for all eligible cases. Detailed treatment information, including that pertaining to chemotherapy, radiation therapy, and surgery, was abstracted from the primary medical records. The medical record abstraction form used in data collection is available at

For purposes of analysis, similar chemotherapeutic agents were grouped together. Patient-specific alkylating agent scores were calculated, summing the tertiles of each drug received (18). Anthracycline exposure (per square meter) consisted of the sum of the doxorubicin and daunorubicin doses and three times the idarubicin dose (19). Cumulative exposure to epipodophyllotoxins (per square meter) was the sum of teniposide (VM-26) and etoposide (VP-16). In the analysis of overall mortality and death due to a subsequent malignancy, assessment of radiation-associated risk used a dichotomous yes/no variable for indicating the exposure to radiotherapy; for cardiac-related deaths, exposure (yes/no) to radiotherapy involving the chest or spine was considered; and for pulmonary complications, exposure of the chest area to radiotherapy was used.

Causes of Death

Methods for ascertaining and categorizing deaths within the CCSS cohort have been described previously (13). In brief, individuals eligible for the CCSS cohort whose vital status as of December 31, 2002, was unknown and those who were reported to have died after cohort entry were included in a National Death Index (NDI) search for deaths that occurred between January 1, 1979, and December 31, 2002. For those who died in the United States, cause of death information was provided by the NDI, using the International Classification of Diseases, Ninth Revision (ICD-9), classification (20). For deaths that occurred in 1975 through 1978 (ie, the years not covered by the NDI), copies of the death certificates were requested from all states where such deaths occurred. Death certificate data were not available for individuals who were Canadian residents at the time of death; therefore, these individuals were excluded from the cause-specific morality analysis, although they were included in all other analyses.

Statistical Analysis

Follow-up for this study began on the date 5 years after the original cancer diagnosis and ended on either the date of death or the date of censoring (December 31, 2002). Standardized mortality ratios (SMRs) for 5-year age groups were calculated using the expected number of deaths based on age-, year-, and sex-specific US mortality rates and the corresponding person-years at risk observed (21).

Causes of death were grouped into six categories—recurrence and/or progression of disease, secondary or subsequent cancer (ICD 140–239), cardiac (ICD 390–398, 402, 404, 410–429), pulmonary (ICD 460–519), external causes (accidents, suicide, poisoning, etc; ICD 800–999), and other causes (all other ICD codes). Only deaths with known causes and not due to recurrence of the original cancer were included in the calculation of cause-specific SMRs.

Diagnosis- and sex-specific survival probabilities were estimated by the product-limit method (22), as well as for groups conditioned on their survival of 10, 15, and 20 years to obtain conditional survival probability estimates. To compare survival for the CCSS cohort with the age-comparable US population, an expected number of deaths for each year since diagnosis was calculated based on the US age-, year-, and sex-specific mortality rates, yielding an expected survival probability for each sex. Cumulative incidence curves of cause-specific mortality were estimated by the cumulative incidence method, taking other causes of deaths as competing risks (23).

Multivariable Poisson regression (21) was used to assess the simultaneous impact of multiple factors on the cause-specific SMRs. Adjustment factors included sex, age at diagnosis, year of diagnosis, and years since diagnosis (all categorical variables). Using the logarithm of expected numbers of deaths based on US mortality rates as offsets, we assessed the influence of radiotherapy exposure and dose levels of alkylating agents, anthracyclines, epipodophyllotoxins, and bleomycin, controlling for the adjustment variables above. The same model was fitted to each cause-specific SMR, namely, subsequent cancer mortality, cardiac-related mortality, pulmonary-related mortality, external-cause mortality, and all-other-cause mortality. We also a priori hypothesized interactions of specific treatment exposures for each cause-specific SMR: radiation and alkylating agents, radiation and anthracyclines, radiation and epipodophyllotoxin, and radiation and bleomycin. In each Poisson regression model, we tested the equality of its dispersion parameter to unity; none of our models had evidence for overdispersion.

Absolute excess risk was calculated as an additional metric of the impact of treatment on cause-specific mortality in the CCSS cohort. Absolute excess risk was determined for each cause-specific category by subtracting the expected number of deaths (calculated from the US population) from the observed number of deaths in the cohort, dividing the difference by the person-years of follow-up, and multiplying by one thousand.

Multiple imputations, under the assumption of “missing at random” (24), were applied for missing data on survivors whose medical records information was not available due to refusal, loss to follow-up, or delay in submitting the medical record release form. For each survivor with one or more missing values of medical record variables (there were 7894 survivors with all medical record variables missing and an additional 1334 survivors with some values missing), we identified a group of survivors who matched on the following four variables and replaced the missing values with the values of a randomly sampled survivor in the group. The four matching variables were: original cancer, age at diagnosis (5-year age groups); calendar year of diagnosis (4-year calendar periods); the institution that treated the original cancer; and the vital status. This imputation was repeated 10 times, creating 10 complete datasets without missing values. The analysis of treatment-factor effects, which was the only analysis that used the multiple-imputation data, was conducted 10 times using the 10 datasets, and the results were summarized by the standard method for combining multiple-imputation analyses (25). By repeating the imputation and analysis 10 times, we represented uncertainties of missing values in between-imputation variability.


Overall Mortality

Among this cohort of 20 483 eligible 5-year survivors, a total of 2821 deaths (13.8%) were ascertained (Table 1). Survivors had 8.4 times higher mortality following their 5-year survival after diagnosis compared with the age-, sex-, and year-matched US population (95% confidence interval [CI] = 8.0 to 8.7; P < .001). The SMR was higher for females (SMR = 13.2, 95% CI = 12.5 to 14.0) than males (SMR = 6.7, 95% CI = 6.4 to 7.0) (P < .001). Figure 1 describes the survival of 5-year survivors by sex, in comparison with the age-, sex-, and year-matched US mortality rates. Overall survival probabilities were estimated to be 93.5% (95% CI = 93.1 to 93.8) at 10 years, 88.1% (95% CI = 87.6 to 88.5) at 20 years, and 81.9% (95% CI = 81.1 to 82.7) at 30 years. All-cause 30-year cumulative mortality was 18.1% (95% CI = 17.3 to 18.9) for 5-year survivors, 12.4% (95% CI = 11.6 to 10.3) for 10-year survivors, 9.5% (95% CI = 8.7 to 10.3) for 15-year survivors, and 7.0% (95% CI = 6.3 to 7.8) for 20-year survivors (Figure 2).

Table 1
Life status and standardized mortality ratios in 5-year survivors of the childhood cancer in the Childhood Cancer Survivor Study*
Figure 1
Overall survival according to sex in the Childhood Cancer Survivor Study cohort and expected survival based on age-, year-, and sex-matched US population mortality rates.
Figure 2
Overall conditional cumulative mortality curves, conditioned on survival of 5, 10, 15, and 20 years since the original diagnosis. Separate curves were generated for deaths due to any cause, those due to recurrence, and those not due to recurrence or ...

Survivors diagnosed before 4 years of age had a somewhat higher risk of late mortality (Table 1). Highest SMRs were observed among 5-year survivors of other leukemia (non–acute lymphoblastic leukemia [ALL], non–acute myeloid leukemia [AML]), medulloblastoma or primitive neuroectodermal tumor (PNET), other CNS malignancy (non-astrocytoma), and Ewing sarcoma. The highest mortality rate was observed within the first 5 years of entering the cohort (ie, 5–9 years after diagnosis), when the risk of death due to recurrence and/or progressive disease would be expected to be the greatest. Individuals treated in the most recent years (1982–1986) also showed the highest SMR, when compared with those treated in earlier years. However, after adjustment for time since diagnosis, the mortality rate was slightly elevated in earlier treatment years and was decreased in more recent diagnosis cohorts (relative rates [RRs] relative to 1982–1986 diagnosis: 1970–1973, RR = 1.3 [95% CI = 1.2 to 1.5], P < .001; 1974–1977, RR = 1.2 [95% CI = 1.1 to 1.3], P < .001; and 1978–1981, RR = 1.0 [95% CI = 0.9 to 1.1], P = .54).

Cause-Specific Mortality

Recurrence and/or progressive disease accounted for the majority of deaths (57.5%), with subsequent neoplasms, diseases of the circulatory system, and diseases of the respiratory system accounting for 18.6%, 6.9%, and 2.6% of deaths, respectively (Table 2). Females had a higher proportion of deaths attributed to subsequent malignancy; males had a higher proportion of deaths due to cardiac outcomes.

Table 2
Frequency of deaths by different causes in the Childhood Cancer Survivor Study

The cumulative proportion of deaths due to recurrence or progression was approximately 6.3% (95% CI = 5.9 to 6.6) at 15 years after diagnosis, and it increased to 7.8% (95% CI = 7.3 to 8.2) at 30 years after diagnosis (Figure 3). Cumulative mortality from a subsequent new malignancy increased fairly constantly starting at entry into the cohort to a 30-year mortality of 3.5% (95% CI = 2.9% to 4.2%). Deaths from pulmonary, cardiac, and other causes were relatively low during the 5- to 15-year interval, but increases were observed 15–30 years after diagnosis of the original cancer.

Figure 3
Cumulative mortality due to recurrence of cancer, second malignancy, cardiac disease, pulmonary disease, external causes, and all other causes.

Overall survival differed appreciably according to the original diagnosis. We observed low all-cause cumulative mortality rates in survivors of kidney tumors and neuroblastoma (data not shown), and the nonrecurrence and nonexternal cause cumulative mortality rates were high for individuals diagnosed with Hodgkin disease and Ewing sarcoma.

The overall rate of mortality as a result of recurrence or progressive disease in this cohort was 0.44% per year (95% CI = 0.41 to 0.46) (Table 3). A statistically significant difference in the rate of mortality due to recurrence or progression was seen by sex, age at diagnosis, years since diagnosis, and diagnosis. As anticipated, the rate of death due to recurrence or progression was highest in the 5- to 10-year period after diagnosis, at 0.99% per year (95% CI = 0.93 to 1.06), and this rate decreased dramatically to 0.10% per year (95% CI = 0.06 to 0.16) in the period 25–29 years after diagnosis. At 30–34 years after diagnosis, recurrence was the smallest contributor to mortality. Rates of deaths for other causes increased from time of diagnosis. Starting at 20–24 years of follow-up, the death rate due to second malignancy exceeded the death rate from recurrence.

Table 3
Yearly mortality rates (%) by cause of death among 5-year survivors of childhood cancer in the Childhood Cancer Survivor Study*

Females had higher SMRs than males in each cause-specific category except for deaths due to external causes (Table 4). Rates of death due to subsequent new malignancies were statistically significantly elevated in all diagnostic groups relative to the general population. Rates were not statistically significantly elevated for deaths due to all external causes; rates were also not elevated for specific external causes, such as motor vehicle accidents (SMR = 1.0, 95% CI = 0.8 to 1.3), other accidents (SMR = 1.3, 95% CI = 1.0 to 1.8), or suicide (SMR = 1.0, 95% CI = 0.7 to 1.4) (in table).

Table 4
Cause-specific standardized mortality ratios and 95% confidence intervals, excluding deaths due to recurrence*

To investigate independent risk factors of late mortality, multivariable Poisson regression analyses of cause-specific SMRs were performed for causes of deaths not due to recurrence (Table 5). Several independent risk factors for death from a subsequent new malignancy, including female sex, exposure to radiation therapy, high exposure to alkylating agents, and the inclusion in the top tertile for epipodophyllotoxin exposure, mirrored those associated with the risk of developing a subsequent new malignancy (3). Age less than 5 years at initial cancer diagnosis and follow-up of less than 20 years were also associated with a higher rate of death due to subsequent new malignancy. Statistically significant risk factors for death due to cardiac causes were the same as those found in studies of the cardiotoxic effects of treatment, including cardiac radiation and cumulative exposure to anthracyclines (26). Female sex, age 5–9 years at cancer diagnosis, follow-up of 5–9 years from diagnosis, and exposure to radiation therapy were associated with a statistically significant increase in SMRs for other causes of death (ie, those not due to recurrence, external causes, new malignancy, or cardiac or pulmonary disease). Epipodophyllotoxin exposure was associated with an increased SMR for pulmonary-related mortality. Tests for interaction between specific treatment exposures—radiation and alkylating agents, radiation and anthracyclines, radiation and epipodophyllotoxin, and radiation and bleomycin—did not attain statistical significance.

Table 5
Relative rate of mortality due to subsequent malignancy, cardiac disease, pulmonary disease, and other causes excluding recurrence and external causes*

Absolute Excess Risk

In the CCSS cohort, the absolute excess risk of all-cause mortality among 5-year survivors of childhood cancer was 7.36 deaths per 1000 person-years. Excluding recurrences, the absolute excess risk of death due to subsequent new malignancy, cardiac causes, and pulmonary causes was 1.30, 0.36, and 0.18 deaths per 1000 person-years, respectively. Additional absolute excess risk estimates are available in Appendix 2.


Five-year survival is often heralded as a landmark event for individuals with cancer, and it is a good indicator of success in the therapy of the original disease. Unfortunately, 5-year survivors may continue to face elevated morbidity and mortality risks as a result of the original cancer and related therapy. The CCSS is the largest cohort of long-term survivors of childhood and adolescent cancer that has been studied, and between 16 and 32 years of follow-up dating from the cancer diagnosis has been achieved for each survivor. The overall SMR for this cohort has decreased from 10.8 in the last report (13), which covered 10–26 years of follow-up, to 8.4 in this report. This decrease in SMR does not necessarily mean that the mortality rate has declined: As the cohort ages, the expected number of deaths based on the US general population, the denominator of the SMR, increases. The overall absolute excess risk of mortality for this cohort is 7.36, representing an additional seven deaths per 1000 individuals who have been followed for 1 year. We also found a change in the proportion of cause-specific deaths since the last report, with the proportion of deaths due to recurrence decreasing and the treatment-related deaths increasing.

With the benefit of increased follow-up, we were able to conduct a number of death-specific analyses that were not possible in our previous analysis. In that analysis, individuals diagnosed with leukemia, CNS tumors, and bone tumors had the highest overall SMRs (13). In the current analysis, we observed that survivors within specific diagnostic groups of medulloblastoma or PNET, Ewing sarcoma, and leukemias other than ALL and AML had the highest SMRs. We demonstrated that the relative rate of mortality after surviving 15 years after diagnosis decreases, but continues to remain approximately five times higher than what would be expected based on data from the US general population. The relative contribution of recurrence, late medical effects, and external causes to the mortality rate changes by a statistically significant extent over time (Table 3). By 20 years of follow-up, the death rate due to second malignancy exceeds the death rate from recurrence. By 30 years, recurrence is the smallest contributor to mortality.

There have been only a limited number of studies evaluating late mortality among childhood cancer survivors (916). In all previous studies and the present one, relative mortality rates were highest 5–9 years after diagnosis and then decreased with time. Furthermore, in all studies with information on cause of death, increased mortality rates were found to be due largely to recurrence of the primary disease, with estimates of the proportion of deaths due to recurrence ranging from 61% to 75%, depending on the era of treatment and the distribution of initial cancer diagnoses. In our extended follow-up of childhood cancer survivors, we found that recurrence accounted for 57.5% of deaths.

There were sex-specific differences in frequencies of deaths due to various causes. Males had a higher rate of death due to recurrences, indicating that treatment had not achieved a cure within the first 5 years for some males. Females demonstrated consistently higher SMRs for non–recurrence and non–external related mortality than males. This is consistent with a large body of literature that suggests that, compared with males, females are at increased risk for numerous adverse long-term outcomes: obesity; poor cardiac outcomes, including the development of congestive heart failure; and other second malignancies, including breast cancer (27). Except for deaths due to subsequent cancers, however, the actual number of deaths was higher in males than in females. SMRs represent multiplicative differences of mortality rates in the cohort of interest relative to a reference population. Therefore, if the reference rates are lower in females, an SMR may be higher in female survivors, even though the actual rate of death in the cohort in females is lower than that in males.

Previous literature has suggested that mortality among 5-year survivors of childhood cancer was higher in earlier treatment eras (pre-1970) than in more recent times (1970 to present), in which multimodal therapy became available (810,12). Little information, however, is available on changes in mortality within the modern treatment era. This analysis shows that the rate of death remained rather stable over the treatment era from 1970 to 1986. Furthermore, the rate of death due to recurrence did not change to a statistically significant extent with the year of diagnosis, suggesting that, although 5-year survival has improved, better salvage therapy is needed for patients who are alive and experience recurrence after the 5-year mark. We also found that the adjusted cause-specific SMRs showed slightly decreasing trends over year of diagnosis for subsequent new malignancy and cardiac and pulmonary deaths, indicating possible improvement in modern therapy that would decrease death due to late effects.

When considering the results of this analysis, it is important to note that our ascertainment of the cause of death relied primarily on death certificate information, which previous studies (28,29) have shown to be of imperfect reliability and accuracy, the most common mistakes being failure to list the immediate and underlying cause of death in the correct order on the death certificate. Thus, it must be recognized that some degree of misclassification is inherent in our data. Another limitation of our analysis is the lack of treatment information on a subset of this cohort, for whom we were not able to obtain medical record abstraction permission.

In conclusion, children and adolescents diagnosed with cancer continue to be at elevated risk for death due to recurrence of the primary disease, and as a result of late effects of therapy. Questions that need to be addressed are whether there are other external factors that influence increased mortality rates, for example, the possible effects of early screening for late effects and the importance of genetics in overall survival. Through ongoing surveillance of these survivors, we will be able to clarify the magnitude and components of this elevated risk and ascertain additional emerging patterns of late-occurring mortality.


National Institutes of Health (U24 CA55727 to L.L.R.).

Supplementary Material

[JNCI Podcast]

Appendix 1

The Childhood Cancer Survivor Study (CCSS) is a collaborative, multi-institutional project, funded as a resource by the National Cancer Institute, of individuals who survived 5 or more years after diagnosis of childhood cancer.

CCSS is a retrospectively ascertained cohort of 20 346 childhood cancer survivors diagnosed before age 21 between 1970 and 1986 and approximately 4000 siblings of survivors, who serve as a control group. The cohort was assembled through the efforts of 26 participating clinical research centers in the United States and Canada. The study is currently funded by a U24 resource grant (National Cancer Institute grant No. U24 CA55727) awarded to St Jude Children's Research Hospital. Currently, we are in the process of expanding the cohort to include an additional 14 000 childhood cancer survivors diagnosed before age 21 between 1987 and 1999. For information on how to access and utilize the CCSS resource, visit

CCSS institutions and investigators
St Jude Children's Research Hospital, Memphis, TNLeslie L. Robison, PhD#, Melissa Hudson, MD*, Greg Armstrong, MD
Children's Health Care, Minneapolis, MNJoanna Perkins, MD*, Maura O’Leary, MD
Children's Hospital and Medical Center, Seattle, WADebra Friedman, MD, MPH*, Thomas Pendergrass, MD
Children's Hospital, Denver, COBrian Greffe, MD*, Lorrie Odom, MD
Children's Hospital, Los Angeles, CAKathy Ruccione, RN, MPH*
Children's Hospital, Oklahoma City, OKJohn Mulvihill, MD
Children's Hospital of Philadelphia, Philadelphia, PAJill Ginsberg, MD*, Anna Meadows, MD
Children's Hospital of Pittsburgh, Pittsburgh, PAJean Tersak, MD*, A. Kim Ritchey, MD, Julie Blatt, MD
Children's National Medical Center, Washington, DCGregory Reaman, MD*, Roger Packer, MD
Cincinnati Children's Hospital Medical Center, Cincinnati, OHStella Davies, MD, PhD
City of Hope, Los Angeles, CASmita Bhatia, MD*
Columbus Children's Hospital, Columbus, OHAmanda Termuhlen, MD*, Frederick Ruymann, MD, Stephen Qualman,     MD, Sue Hammond, MD
Dana-Farber Cancer Institute, Boston, MALisa Diller, MD*, Holcombe Grier, MD, Frederick Li, MD§
Emory University, Atlanta, GALillian Meacham, MD*, Ann Mertens, PhD
Fred Hutchinson Cancer Research Center, Seattle, WAWendy Leisenring, ScD*, John Potter, MD, PhD
Hospital for Sick Children, Toronto, Ontario, CanadaMark Greenberg, MBChB*, Paul C. Nathan, MD*
International Epidemiology Institute, Rockville, MDJohn Boice, ScD
Mayo Clinic, Rochester, MNVilmarie Rodriguez, MD*, W. Anthony Smithson, MD, Gerald Gilchrist, MD
Memorial Sloan-Kettering Cancer Center, New YorkCharles Sklar, MD*, Kevin Oeffinger, MD
National Cancer Institute, Bethesda, MDBarry Anderson, MD, Peter Inskip, ScD
Riley Hospital for Children, Indianapolis, INTerry A. Vik, MD*, Robert Weetman, MD
Roswell Park Cancer Institute, Buffalo, NYDaniel M. Green, MD*
St Louis Children's Hospital, MORobert Hayashi, MD*, Teresa Vietti, MD
Stanford University School of Medicine, Stanford, CANeyssa Marina, MD*, Sarah S. Donaldson, MD, Michael P. Link, MD
Texas Children's Center, Houston, TXZoann Dreyer, MD*
University of Alabama, Birmingham, ALKimberly Whelan, MD, MSPH*, Jane Sande, MD, Roger Berkow, MD
University of Alberta, Edmonton, Alberta, CanadaYutaka Yasui, PhD
University of California–Los Angeles, Los Angeles, CALonnie Zeltzer, MD*
University of California–San Francisco, San Francisco, CARobert Goldsby, MD*, Arthur Ablin, MD
University of Michigan, Ann Arbor, MIRaymond Hutchinson, MD*
University of Minnesota, Minneapolis, MNJoseph Neglia, MD, MPH*
University of Southern California, Los Angeles, CADennis Deapen, PhD
University of Washington, Seattle, WANorman Breslow, PhD
University of Texas–Southwestern Medical Center at Dallas, TXDan Bowers, MD*, Gail Tomlinson, MD, George R. Buchanan, MD
University of Texas–M.D. Anderson Cancer Center, Houston, TXLouise Strong, MD*, Marilyn Stovall, MPH, PhD,
*Institutional principal investigator.
Former institutional principal investigator.
Member CCSS Steering Committee.
§Former member CCSS Steering Committee.

Appendix 2. Absolute Excess Risks per 1000 Person-years for Childhood Cancer Survivor Study Cohort, Compared With the US Population

Subsequent malignancyCardiacPulmonaryOther causesExternal causes
All cases1.300.360.180.370.00
    Acute lymphoblastic leukemia0.900.
    Acute myeloid leukemia0.830.210.500.450.50
    Other leukemia1.370.210.640.000.00
    Medulloblastoma, PNET1.580.
    Other CNS tumors0.950.000.270.940.70
    Hodgkin disease3.011.210.330.610.00
    Non-Hodgkin lymphoma1.340.430.210.300.00
    Kidney tumors0.830.330.050.270.00
    Soft tissue sarcoma1.340.210.070.470.00
    Ewing sarcoma2.090.850.090.870.00
    Other bone tumors0.420.
Years since original diagnosis

CNS = central nervous system; PNET = primitive neuroectodermal tumor.


The National Institutes of Health played no role in the design of the study; the collection, analysis, and interpretation of the data; the decision to submit the manuscript for publication; or the writing of the manuscript.


1. Ries LAG, Melbert D, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2004. Bethesda, MD: National Cancer Institute.;
2. Oeffinger KC, Mertens AC, Sklar CA, et al. Chronic health conditions in adult survivors of childhood cancer. N Engl J Med. 2006;355((15)):1572–1582. [PubMed]
3. Neglia JP, Friedman DL, Yasui Y, et al. Second malignant neoplasms in five-year survivors of childhood cancer: Childhood Cancer Survivor Study. J Natl Cancer Inst. 2001;93((8)):618–629. [PubMed]
4. Adams MJ, Lipshultz SE, Schwartz C, et al. Radiation-associated cardiovascular disease: manifestations and management. Semin Radiat Oncol. 2003;13((3)):346–356. [PubMed]
5. Hudson MM, Rai SN, Nunez C, et al. Noninvasive evaluation of late anthracycline cardiac toxicity in childhood cancer survivors. J Clin Oncol. 2007;25(24):3635–3643. [PubMed]
6. Bowers D, Liu Y, Leisenring W, et al. Late-occurring stroke among long-term survivors of childhood leukemia and brain tumors: a report from the Childhood Cancer Survivor Study. J Clin Oncol. 2006;24(33):5277–5282. [PubMed]
7. Mertens AC, Yasui Y, Liu Y, et al. Pulmonary complications in survivors of childhood and adolescent cancer: a report from the Childhood Cancer Survivor Study. Cancer. 2002;95((11)):2431–2441. [PubMed]
8. Li FP, Myers MH, Heise HW, et al. The course of five-year survivors of cancer in childhood. Pediatrics. 1978;93((2)):185–187. [PubMed]
9. Hawkins MM, Kingston JE, Wilson LMK. Late deaths after treatment for childhood cancer. Arch Dis Child. 1990;65((12)):1356–1363. [PMC free article] [PubMed]
10. Nicholson HS, Fears TR, Byrne J. Death during adulthood in survivors of childhood and adolescent cancer. Cancer. 1994;73((12)):3094–3102. [PubMed]
11. Robertson CM, Hawkins MM, Kingston JE. Late deaths and survival after childhood cancer: implications for cure. BMJ. 1994;309((6948)):162–166. [PMC free article] [PubMed]
12. Hudson MM, Jones D, Boyett J, et al. Late mortality of long-term survivors of childhood cancer. J Clin Oncol. 1997;15((6)):2205–2213. [PubMed]
13. Mertens AC, Yasui Y, Neglia J, et al. Late mortality experience in five-year survivors of childhood and adolescent cancer: the Childhood Cancer Survivor Study. J Clin Oncol. 2001;19((13)):3163–3172. [PubMed]
14. Moller TR, Garwicz SA, Barlow L, et al. Decreasing late mortality among five-year survivors of cancer in childhood and adolescence: a population-based study in the Nordic countries. J Clin Oncol. 2001;19:3173–3181. [PubMed]
15. Cardous-Ubbink MC, Heinen RC, Langeveld NE, et al. Long-term cause-specific mortality among five-year survivors of childhood cancer. Pediatr Blood Cancer. 2004;42(7):563–573. [PubMed]
16. Green DM, Zevon MA, Reese PA, et al. Factors that influence the further survival of patients who survive for five years after the diagnosis of cancer in childhood or adolescence. Med Pediatr Oncol. 1994;22((10)):91–96. [PubMed]
17. Robison LL, Mertens AC, Boice JD, et al. Study design and cohort characteristics of the Childhood Cancer Survivor Study: a multi-institutional collaborative project. Med Pediatr Oncol. 2002;38((4)):229–239. [PubMed]
18. Tucker MA, D’Angio GJ, Boice JD, et al. Bone sarcomas linked to radiotherapy and chemotherapy in children. N Engl J Med. 1987;317:588–593. [PubMed]
19. Pai VB, Nahata MC. Cardiotoxicity of chemotherapeutic agents: incidence, treatment and prevention. Drug Saf. 2000;22(4):263–302. [PubMed]
20. World Health Organization. Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death, Based on the Recommendations of the Ninth Revision Conference, 1975. Geneva, Switzerland: World Health Organization; 1977.
21. Breslow NE, Day NE. Statistical Methods in Cancer Research. Volume II—The Design and Analysis of Cohort Studies (IARC Scientific Publications No. 82) Lyon, France: International Agency for Research on Cancer; 1987. [PubMed]
22. Clayton D, Hills M. Statistical Models in Epidemiology. New York: Oxford University Press; 1993.
23. Gooley TA, Leisenring W, Crowley J, et al. Estimation of failure probabilities in the presence of competing risks: new representations of old estimates. Stat Med. 1999;18(6):695–706. [PubMed]
24. Little RJA, Rubin DB. Statistical Analysis With Missing Data. 2nd ed. New York: John Wiley; 2002.
25. Rubin DB, Little RJA. Statistical Analysis With Missing Data. New York: John Wiley and Sons; 1987.
26. Shankar SM, Marina N, Hudson MM, et al. Monitoring for cardiovascular disease in survivors of childhood cancer: report from the Cardiovascular Disease Task Force of the Children's Oncology Group. Pediatrics. 2008;121((2)):e387–e396. [PubMed]
27. Armstrong GT, Sklar CA, Hudson MM, et al. Long-term health status among survivors of childhood cancer: does sex matter? J Clin Oncol. 2007;25((28)):4477–4489. [PubMed]
28. Messite J, Stellman SD. Accuracy of death certificate completion: the need for formalized physician training. JAMA. 1996;275((10)):794–796. [PubMed]
29. Sehdev AES, Hutchins GM. Problems with proper completion and accuracy of the cause of death statement. Arch Intern Med. 2001;161((2)):277–284. [PubMed]

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