OBJECTIVE: To assess the impact of socio-economic status (SES) on cancer survival in the state of New South Wales (NSW), Australia. METHODS: Patients diagnosed with one of 13 major cancers during 1992-2000 in NSW were followed-up to the end of 2001. The effect of SES on survival was estimated for each individual cancer and all 13 cancers combined using multivariable modeling. The numbers of lives that could be extended if all people had the same level of excess risk of death due to cancer as patients in the highest SES areas were also estimated. RESULTS: There were highly statistically significant variations in survival across SES groups for four cancers: stomach, liver, lung, and breast and all 13 cancers combined. Variation remained highly significant after adjusting for disease stage. Patients in lower SES areas had 10-20% higher excess risk than those in the highest SES areas. In total, there were 3,346 lives potentially extendable beyond 5 years; the highest number was for lung cancer (756). CONCLUSION: The significantly worse survival in lower SES areas from cancers of the stomach, liver, lung, and breast may be due to poorer access to high-quality cancer care. Estimates of the number of lives potentially extendable by improving cancer survival in lower SES areas suggest that priority should be given to improving lung cancer care in lower SES areas in NSW, Australia.
We present a compiled list of 1217 star formation rate (SFR)
Estimates for 802 galaxies within 11 Mpc from us, derived from the H-alpha
Imaging surveys and GALEX far-ultraviolet survey. We briefly discuss some basic
Scaling relations between SFR and luminosity, morphology, HI-mass, surface
Self-consistent proton-neutron quasiparticle random phase approximation based
on the spherical nonlinear point-coupling relativistic Hartree-Bogoliubov
theory is established and used to investigate the $\beta^+$/EC-decay half-lives
of neutron-deficient Ar, Ca, Ti, Fe, Ni, Zn, Cd, and Sn isotopes. T...
Focus this short review, specifically discussing various computational and
Mathematical models of different portions of the metastatic process, including:
The emergence of the metastatic phenotype, the timing and size distribution of
Metastases, the factors that influence the dormancy of mic...
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