0000000000544562
AUTHOR
Jean Iwaz
Unbiased estimates of long-term net survival of hematological malignancy patients detailed by major subtypes in France.
Long-term population-based survival data detailed by cancer subtype are important to measure the overall outcomes of malignancy managements. We provide net survival estimates at 1, 3, 5 and 10-year postdiagnosis on 37,549 hematological malignancy (HM) patients whose ages were >15 years, diagnosed between 1989 and 2004 and actively followed until 2008 by French population-based cancer registries. These are, to our knowledge, the first unbiased estimates of 10-year net survival in HMs detailed by subtypes. HMs were classified according to the International Classification of Diseases-Oncology 3. Net survival was estimated with the unbiased Pohar-Perme method. The results are reported by sex an…
Trends in excess mortality in follicular lymphoma at a population level
Background Since the 1990s and since the development of humanised monoclonal antibodies in 1998, the treatment of non-Hodgkin lymphoma has undergone profound changes. Follicular lymphoma (FL) was the first to benefit from this treatment, and several clinical trials have shown a significant improvement in overall survival, but little information is available at a population level. Objective Our objective was to estimate changes in FL-specific mortality at a population level, with an appropriate methodology. Methods Two French retrospective population-based studies on FL were conducted, one from 1995 to 2004, in 1477 patients, and one from 1995 to 2010, in 451 patients. Trends in excess morta…
Time-to-cure and cure proportion in solid cancers in France. A population based study.
In cancer care, the cure proportion (P) and time-to-cure (TTC) are important indicators for practitioners, patients, and healthcare policy makers. The recent definition of TTC as the time at which the probability of belonging to the cured group reaches 95% was used for the first time.The data stem from the common database of French cancer registries including 335,358 solid tumours diagnosed between 1995 and 2009 at 27 sites. P and TTC were estimated through a flexible parametric net survival cure model for each cancer site, sex, and age at diagnosis with acceptable assumption of cure (excess mortality rate ≤0.05).TTC was ≤5 years and P was80% for skin melanoma and thyroid and testis cancers…
Cancer net survival on registry data: use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods
Net survival, the survival which might occur if cancer was the only cause of death, is a major epidemiological indicator required for international or temporal comparisons. Recent findings have shown that all classical methods used for routine estimation of net survival from cancer-registry data, sometimes called "relative-survival methods," provide biased estimates. Meanwhile, an unbiased estimator, the Pohar-Perme estimator (PPE), was recently proposed. Using real data, we investigated the magnitude of the errors made by four "relative-survival" methods (Ederer I, Hakulinen, Ederer II and a univariable regression model) vs. PPE as reference and examined the influence of time of follow-up,…