↓ Skip to main content

Cancers of unknown primary diagnosed during hospitalization: a population-based study

Overview of attention for article published in BMC Cancer, January 2017
Altmetric Badge

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
25 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cancers of unknown primary diagnosed during hospitalization: a population-based study
Published in
BMC Cancer, January 2017
DOI 10.1186/s12885-017-3083-1
Pubmed ID
Authors

William Jones, Gwen Allardice, Iona Scott, Karin Oien, David Brewster, David S. Morrison

Abstract

Cancers of Unknown Primary (CUP) are the 3-4(th) most common causes of cancer death and recent clinical guidelines recommend that patients should be directed to a team dedicated to their care. Our aim was to inform the care of patients diagnosed with CUP during hospital admission. Descriptive study using hospital admissions (Scottish Morbidity Record 01) linked to cancer registrations (ICD-10 C77-80) and death records from 1998 to 2011 in West of Scotland, UK (population 2.4 m). Cox proportional hazards models were used to assess effects of baseline variables on survival. Seven thousand five hundred ninety nine patients were diagnosed with CUP over the study period, 54.4% female, 67.4% aged ≥ 70 years, 36.7% from the most deprived socio-economic quintile. 71% of all diagnoses were made during a hospital admission, among which 88.6% were emergency presentations and the majority (56.3%) were admitted to general medicine. Median length of stay was 15 days and median survival after admission 33 days. Non-specific morphology, emergency admission, age over 60 years, male sex and admission to geriatric medicine were all associated with poorer survival in adjusted analysis. Patients with a diagnosis of CUP are usually diagnosed during unplanned hospital admissions and have very poor survival. To ensure that patients with CUP are quickly identified and directed to optimal care, increased surveillance and rapid referral pathways will be required.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 16%
Researcher 3 12%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Student > Ph. D. Student 1 4%
Other 3 12%
Unknown 11 44%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Nursing and Health Professions 4 16%
Biochemistry, Genetics and Molecular Biology 2 8%
Unknown 11 44%