| Title |
Predicting the cancer burden in Catalonia between 2015 and 2025: the challenge of cancer management in the elderly
|
|---|---|
| Published in |
Clinical and Translational Oncology, October 2017
|
| DOI | 10.1007/s12094-017-1764-5 |
| Pubmed ID | |
| Authors |
R. Clèries, A. Ameijide, R. Marcos-Gragera, L. Pareja, M. Carulla, M.-L. Vilardell, L. Esteban, M. Buxó, J.-A. Espinàs, A. Puigdefàbregas, J. Ribes, A. Izquierdo, J. Galceran, J. M. Borrás |
| Abstract |
Developing effective cancer control programmes requires information on the future cancer burden in an ageing population. In our study we predicted the burden of cancer in Catalonia from 2015 to 2025. Bayesian age-period-cohort models were used to predict the burden of cancer from 2015 to 2025 using incidence data from the Girona and Tarragona cancer registries and cancer mortality data from the Catalan mortality registry. Using the Bashir-Estève method, we divided the net change in the number of cases between 2015 and 2025 into changes due to population size (S), cancer risk (R) and age (A) distribution. By 2025, there will be 21,743 new cancer cases in men (40% aged > 74 years) and 17,268 in women (37% aged > 74 years). More than 40% of the new cases will be diagnosed among population aged 74 and older in prostate, colorectal, lung, bladder, pancreatic and stomach cancers in men, and in colorectal, pancreatic and bladder cancers and leukaemia in women. During 2015-2025, the number of new diagnoses will increase by 5.5% in men (A + R + S = 18.1% - 13.3% + 0.7% = 5.5%) and 11.9% in women (A + R + S = 12.4% - 1.1% + 0.6% = 11.9%). Overall cancer mortality rates will continue to decrease during 2015-2025. Lung cancer will be the most lethal cancer among men (N = 2705) and women (N = 1174). The increase in the number of cancer cases in Catalonia from 2015 to 2025 will mostly affect the elderly, prompting the need for increased collaboration between geriatricians and oncologists. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 10 | 16% |
| Researcher | 10 | 16% |
| Student > Master | 7 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Other | 13 | 20% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 25% |
| Nursing and Health Professions | 8 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Mathematics | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 21 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2018.
All research outputs
#14,956,881
of 23,006,268 outputs
Outputs from Clinical and Translational Oncology
#645
of 1,319 outputs
Outputs of similar age
#192,006
of 324,848 outputs
Outputs of similar age from Clinical and Translational Oncology
#22
of 38 outputs
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