Literature DB >> 23548729

Unstaged cancer in a population-based registry: prevalence, predictors and patient prognosis.

Jason Gurney1, Diana Sarfati, James Stanley, Elizabeth Dennett, Carol Johnson, Jonathan Koea, Andrew Simpson, Rodney Studd.   

Abstract

PURPOSE: Information on cancer stage at diagnosis is critical for population studies investigating cancer care and outcomes. Few studies have examined the factors which impact (1) staging or (2) outcomes for patients who are registered as having unknown stage. This study investigated (1) the prevalence of unknown stage at diagnosis on the New Zealand Cancer Registry (NZCR); (2) explored factors which predict unknown stage; (3) described receipt of surgery and (4) survival outcomes for patients with unknown stage.
METHODS: Patients diagnosed with the most prevalent 18 cancers between 2006 and 2008 (N=41,489) were identified from the NZCR, with additional data obtained from mortality and hospitalisation databases. Logistic and Cox regression were used to investigate predictors of unknown stage and patient outcomes.
RESULTS: (1) Three distinct groups of cancers were found based on proportion of patients with unknown stage (low=up to 33% unknown stage; moderate=33-64%; high=65%+). (2) Increasing age was a significant predictor of unknown stage (adjusted odds ratios [ORs]: 1.18-1.24 per 5-year increase across groups). Patients with substantive comorbidity were more likely to have unknown stage but only for those cancers with a low (OR=2.65 [2.28-3.09]) or moderate (OR=1.17 [1.03-1.33]) proportion of patients with unknown stage. (3) Patients with unknown stage were significantly less likely to have received definitive surgery than those with local or regional disease across investigated cancers. (4) Patients with unknown stage had 28-day and 1-year survival which was intermediate between regional and distant disease. DISCUSSION: We found that stage completeness differs widely by cancer site. In many cases, the proportion of unknown stage on a population-based register can be explained by patient, service and/or cancer related factors.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23548729     DOI: 10.1016/j.canep.2013.03.005

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  6 in total

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5.  Cancer staging in individuals with a severe psychiatric illness: a cross-sectional study using population-based cancer registry data.

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6.  Disparities in the Diagnosis and Treatment of Gastric Cancer in Relation to Disabilities.

Authors:  Hyoung Woo Kim; Dong Wook Shin; Kyoung Eun Yeob; In Young Cho; So Young Kim; Seon Mee Park; Jong Heon Park; Jong Hyock Park; Ichiro Kawachi
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  6 in total

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