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Emergency cancer diagnosis in Paris: A cross-sectional study using AP-HP data
Matthew E Barclay1, Ariel Cohen2, Sonia Priou3
1Epidemiology of Cancer Healthcare and Outcomes, Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Diagnosing cancer via emergency hospital admission is common in France, impacting patient survival negatively. Reducing emergency cancer diagnoses may improve patient outcomes and warrants public health initiatives.
Area of Science:
- Oncology
- Public Health
- Health Services Research
Background:
- Emergency presentation is linked to poorer cancer outcomes globally.
- Evidence on emergency cancer diagnosis in France is limited.
- Understanding emergency presentation is crucial for improving cancer care pathways.
Purpose of the Study:
- To determine the frequency of emergency presentation for major cancers in France.
- To investigate the association between emergency presentation and survival.
- To identify risk factors for emergency cancer diagnosis.
Main Methods:
- Retrospective analysis of 25,845 cancer patients at Assistance Publique Hôpitaux de Paris (AP-HP) from January 2019 to June 2022.
- Categorization of patients into emergency and non-emergency presentation groups.
- Statistical analysis to assess survival differences and risk factors, adjusting for metastatic status.
Main Results:
- 15.3% of cancer diagnoses were emergency presentations, with higher rates for pancreatic (23%) and colon (20%) cancers.
- Emergency presenters had higher rates of metastatic disease, less surgery (except colon cancer), and increased 1-year mortality.
- Emergency presentation was strongly associated with worse survival (HR 2.67), independent of metastatic status.
- Increased age and specific cancer types (lung, pancreatic) were linked to higher emergency presentation risk.
Conclusions:
- Emergency presentation is a significant route to cancer diagnosis in the Paris region.
- Prompt presentation and diagnosis initiatives are needed to improve cancer survival.
- Routine datasets can identify patients presenting via emergency routes, facilitating targeted interventions.
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