Document Type

Article

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Disciplines

Analytical, Diagnostic and Therapeutic Techniques and Equipment | Applied Mathematics | Numerical Analysis and Computation | Other Mathematics

CIT Disciplines

Bioinformatics; 3. MEDICAL AND HEALTH SCIENCES; Epidemiology; Applied mathematics; 1.1 MATHMATICS; Statistics

Publication Details

BMC Palliative Care

Abstract

Analysing linked, routinely collected data may be useful to identify characteristics of patients with suspected lung cancer who could benefit from early assessment for palliative care. The aim of this study was to compare characteristics of newly diagnosed lung cancer patients dying within 30 days of diagnosis (short term survivors) with those surviving more than 30 days. To identify indicators for early palliative care assessment we distinguished between characteristics available at diagnosis (age, gender, smoking status, marital status, comorbid disease, admission type, tumour stage and histology) from those available post diagnosis. A second aim was to examine the association between receiving any tumour-directed treatment, place of death and survival time.

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