Cargando…
Could Ovarian Cancer Prediction Models Improve the Triage of Symptomatic Women in Primary Care? A Modelling Study Using Routinely Collected Data
SIMPLE SUMMARY: Earlier detection of ovarian cancer has the potential to improve patient outcomes, including survival. However, determining which women presenting in primary care to refer for specialist assessment and investigation is a clinical dilemma. In this study, we used routinely collected En...
Autores principales: | Funston, Garth, Abel, Gary, Crosbie, Emma J., Hamilton, Willie, Walter, Fiona M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228892/ https://www.ncbi.nlm.nih.gov/pubmed/34207611 http://dx.doi.org/10.3390/cancers13122886 |
Ejemplares similares
-
Identifying Ovarian Cancer in Symptomatic Women: A Systematic Review of Clinical Tools
por: Funston, Garth, et al.
Publicado: (2020) -
The diagnostic performance of CA125 for the detection of ovarian and non-ovarian cancer in primary care: A population-based cohort study
por: Funston, Garth, et al.
Publicado: (2020) -
Detecting ovarian cancer in primary care: can we do better?
por: Funston, Garth, et al.
Publicado: (2022) -
Variation in the initial assessment and investigation for ovarian cancer in symptomatic women: a systematic review of international guidelines
por: Funston, Garth, et al.
Publicado: (2019) -
CA125 test result, test-to-diagnosis interval, and stage in ovarian cancer at diagnosis: a retrospective cohort study using electronic health records
por: Funston, Garth, et al.
Publicado: (2021)