The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Trends in Cancer Incidence, Survival and Mortality
Abstract
Time trends in cancer risk have often been summarised by the observation that mortality from cancers associated with tobacco is increasing rapidly, while mortality from all other cancers is either stable or falling slightly, this slight decline being dominated by the decrease in mortality from stomach cancer. Until recently, and with some variation between the sexes, this simple summary of cancer mortality trends would have been broadly correct for a number of developed countries, and it remains useful in dismissing claims of an impending and unexplained epidemic of cancer, but it does not apply to all countries, and in some there have recently been striking changes in the trends in mortality from cancers associated with tobacco. Cancer mortality has been widely accepted as the most important measure of progress against cancer, since it reflects the impact of cancer on people, and has been considered less subject to distortion than incidence or survival, although this is open to question. Cancer mortality also reflects trends in incidence and survival to a greater or lesser extent. There has been controversy, however, over how cancer mortality trends should be interpreted, as well as over which measures should be used to assess progress in cancer control. An overall summary of trends in mortality from all cancers combined is of limited value in assessing progress against cancer, in any case. Increases in a common lethal cancer may numerically dominate overall mortality trends, perhaps concealing declines in less common or less lethal cancers, while opposite trends in cancers of the lung and stomach, for example, might lead to an overall impression that little has changed. Further, up to a third of cancer patients will not die of cancer, and cancer mortality statistics do not reflect their experience at all. Cancer mortality trends only indirectly reflect trends in the number of people who are diagnosed with cancer in a given year, and those who do die of cancer in a given year may have been diagnosed more than 3 years previously, even though many die earlier: this blurs the responsiveness of routine cancer mortality statistics as a measure of recent progress, and alternative measures have been proposed. Trends in competing risks of death, especially at higher ages, may also complicate the interpretation of cancer mortality trends. The chance of developing cancer, and in that event, the chances of surviving it, are of direct interest to individuals.(ABSTRACT TRUNCATED AT 400 WORDS)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cancer Incidence in Five Continents
(1966) · doi:10.1007/978-3-642-85849-9 · Cited by 5,936
Cited by
Cancer burden in the year 2000. The global picture
Parkin, D. M., Bray, F. I., & Devesa, S. S. (2001) · European Journal of Cancer · doi:10.1016/s0959-8049(01)00267-2 · Cited by 2,169
Epidemiology of ovarian cancer: a review
Brett M., R., Brett M., R., Jennifer B., P., Thomas A., S., Jennifer B., P., & Thomas A., S. (2017) · Cancer Biology & Medicine · doi:10.20892/j.issn.2095-3941.2016.0084 · Cited by 1,524
Cancer survival in five continents: a worldwide population-based study (CONCORD)
Coleman, M. P., Quaresma, M., Berrino, F., Lutz, J.-M., De Angelis, R., Capocaccia, R., Baili, P., Rachet, B., Gatta, G., Hakulinen, T., et al. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70179-7 · Cited by 1,002
Self-citationGroves, F. D., Linet, M. S., Travis, L. B., & Devesa, S. S. (2000) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/92.15.1240 · Cited by 526
Phyto-oestrogens: where are we now?
Bingham, S. A., Atkinson, C., Liggins, J., Bluck, L., & Coward, A. (1998) · British Journal of Nutrition · doi:10.1079/bjn19980068 · Cited by 393
Metadata
- Authors
- Estève, J., & Coleman, M.
- Venue
- Husband and Reznek's Imaging in Oncology, Third Edition
- Publisher
- CRC Press
- Published
- 2009-12-23
- Issue
- 121
- Pages
- 1-15
- OpenAlex
- W118757060
- Cited by
- 761
- References
- 1
- FWCI
- 68.31
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Trends in Cancer Incidence, Survival and Mortality. https://app.cochat.ai/papers/10.3109/9780415874984-2
- The paper
- Estève, J., & Coleman, M. (2009). Trends in Cancer Incidence, Survival and Mortality. Husband and Reznek's Imaging in Oncology, Third Edition. https://doi.org/10.3109/9780415874984-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.