Identifying women with suspected ovarian cancer in primary care: derivation and validation of algorithm
Author:
Publisher
BMJ
Subject
General Earth and Planetary Sciences,General Environmental Science,General Engineering
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Underlying cancer risk among patients with fatigue and other vague symptoms: a population-based cohort study in primary care;British Journal of General Practice;2022-10-31
2. Could Ovarian Cancer Prediction Models Improve the Triage of Symptomatic Women in Primary Care? A Modelling Study Using Routinely Collected Data;Cancers;2021-06-09
3. Clinical prediction tools to identify patients at highest risk of myeloma in primary care: a retrospective open cohort study;British Journal of General Practice;2021-04-06
4. Glycomic-Based Biomarkers for Ovarian Cancer: Advances and Challenges;Diagnostics;2021-04-01
5. Chronic acid-suppressant use and risk of Oesophageal cancer: protocol for a longitudinal study using a large population based cohort;2021-02-18
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