Estimated incidence of disruptions to event-free survival from non-metastatic cancers in New South Wales, Australia - a population-wide epidemiological study of linked cancer registry and treatment data

被引:0
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作者
Morrell, Stephen [1 ]
Roder, David [2 ]
Currow, David [3 ]
Engel, Alexander [4 ,5 ]
Hovey, Elizabeth [6 ,7 ]
Lewis, Craig R. [6 ,7 ]
Liauw, Winston [7 ,8 ]
Martin, Jarad M. [9 ,10 ,11 ]
Patel, Manish [12 ,13 ]
Thompson, Stephen R. [7 ,14 ]
O'Brien, Tracey [15 ]
机构
[1] Canc Inst NSW, Div Canc Serv & Informat, St Leonards, NSW, Australia
[2] Univ South Australia, Canc Epidemiol & Populat Hlth, Adelaide, SA, Australia
[3] Univ Wollongong, Fac Sci Med & Hlth, Wollongong, NSW, Australia
[4] Univ Sydney, Fac Med & Hlth, Sydney, NSW, Australia
[5] Royal North Shore Hosp, Northern Sydney Canc Ctr, St Leonards, NSW, Australia
[6] Prince Wales Hosp, Dept Med Oncol, Randwick, NSW, Australia
[7] Univ New South Wales, Fac Med & Hlth, Sch Clin Med, Kensington, NSW, Australia
[8] St George Hosp, Peritonect & Liver Canc Unit, Kogarah, NSW, Australia
[9] Univ Newcastle, Sch Med & Publ Hlth, Newcastle, NSW, Australia
[10] Calvary Mater Hosp Newcastle, Dept Radiat Oncol, Newcastle, NSW, Australia
[11] GenesisCare Maitland, Maitland, NSW, Australia
[12] Univ Sydney, Fac Med & Hlth, Western Clin Sch, Sydney, NSW, Australia
[13] Macquarie Univ, Fac Hlth Sci, N Ryde, NSW, Australia
[14] Prince Wales Hosp, Nelune Comprehens Canc Ctr, Randwick, NSW, Australia
[15] Canc Inst NSW, St Leonards, NSW, Australia
来源
FRONTIERS IN ONCOLOGY | 2024年 / 14卷
关键词
cancer; recurrence and other disruptive events; survival; breast; colorectal; lung; prostate; melanoma; ADMINISTRATIVE DATA ALGORITHM; 2ND BREAST-CANCER; DISEASE RECURRENCE; STAGE; WOMEN; RATES; VALIDATION; ASCERTAIN; CLAIMS; RISK;
D O I
10.3389/fonc.2024.1338754
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction Population cancer registries record primary cancer incidence, mortality and survival for whole populations, but not more timely outcomes such as cancer recurrence, secondary cancers or other complications that disrupt event-free survival. Nonetheless, indirect evidence may be inferred from treatment data to provide indicators of recurrence and like events, which can facilitate earlier assessment of care outcomes. The present study aims to infer such evidence by applying algorithms to linked cancer registry and treatment data obtained from hospitals and universal health insurance claims applicable to the New South Wales (NSW) population of Australia.Materials and methods Primary invasive cancers from the NSW Cancer Registry (NSWCR), diagnosed in 2001-2018 with localized or regionalized summary stage, were linked to treatment data for five common Australian cancers: breast, colon/rectum, lung, prostate, and skin (melanomas). Clinicians specializing in each cancer type provided guidance on expected treatment pathways and departures to indicate remission and subsequent recurrence or other disruptive events. A sample survey of patients and clinicians served to test initial population-wide results. Following consequent refinement of the algorithms, estimates of recurrence and like events were generated. Their plausibility was assessed by their correspondence with expected outcomes by tumor type and summary stage at diagnosis and by their associations with cancer survival.Results Kaplan-Meier product limit estimates indicated that 5-year cumulative probabilities of recurrence and other disruptive events were lower, and median times to these events longer, for those staged as localized rather than regionalized. For localized and regionalized cancers respectively, these were: breast - 7% (866 days) and 34% (570 days); colon/rectum - 15% (732 days) and 25% (641 days); lung - 46% (552 days) and 66% (404 days); melanoma - 11% (893 days) and 38% (611 days); and prostate - 14% (742 days) and 39% (478 days). Cases with markers for these events had poorer longer-term survival.Conclusions These population-wide estimates of recurrence and like events are approximations only. Absent more direct measures, they nonetheless may inform service planning by indicating population or treatment sub-groups at increased risk of recurrence and like events sooner than waiting for deaths to occur.
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