Abstract
Background: We aimed to investigate the effect of comorbidity on cervical cancer survival for Australian women, and whether it contributed to the excess mortality of Indigenous Australian women compared to non‐Indigenous women.
Method: Cervical cancer cases diagnosed 2003–2012 in six
Australian states/territories (covering 96% of the Australian female
population) were linked to hospital inpatient records for the identification of
comorbidity data. The weighted Charlson comorbidity index was calculated and
categorised as a score 0 (no comorbidity), 1 or 2+. Kaplan Meier 5‐year
cause‐specific survival probabilities were calculated by Indigenous status and
comorbidity level. Flexible parametric survival models were used to model
excess mortality by comorbidity score, for Indigenous and non‐Indigenous women.
The effect of comorbidity on cancer stage at diagnosis was also investigated
for a sub‐group of women from NSW, for whom staging data was available.
Results: 4,467 Australian women (4.4% Indigenous) with cervical cancer
were included. Indigenous women were younger and had more comorbidity at
diagnosis (score ≥1 24% vs. 10%, respectively). Indigenous women had lower
survival than non‐Indigenous women (60% vs. 77%). After adjustment for study
factors, increased comorbidity was clearly associated with increased mortality
for non‐Indigenous women, but not for Indigenous women. Stratified analysis
showed that the survival disparity between Indigenous women and non‐Indigenous
women was contained to those without comorbidity (HR 2.5, 95%CI 1.9‐3.4).
Indigenous and non‐Indigenous women with comorbidity had similar survival.
Conclusion: The difference in survival for Indigenous and non‐Indigenous
women without comorbidity warrants further investigation and may reflect
differences in how health services engage these women.
Original language | English |
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Article number | 92 |
Pages (from-to) | 92-93 |
Number of pages | 2 |
Journal | Asia-Pacific Journal of Clinical Oncology |
Volume | 13 |
Issue number | S4 |
DOIs | |
Publication status | Published - 1 Nov 2017 |