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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...
Enregistré dans:
| Publié dans: | Cancers (Basel) |
|---|---|
| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8228892/ https://ncbi.nlm.nih.gov/pubmed/34207611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13122886 |
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