Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Guide for Prioritisation of Patients for Referral to Breast Clinics

The Leeds Teaching Hospitals NHS Trust · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
Open Source ↗
breast-cancer
GPs in primary care in England currently refer over 2.17 million patients per year with vague symptoms to the urgent cancer referral pathway. While this catches over 150,000 cancer cases each year, 93% of the referred patients do not have cancer. For breast cancer, GPs refer 343,000 cases per year. Each of these patients are referred to a one stop clinic for diagnosis. The Leeds teaching Hospitals' Trusts' Breast Unit, receives 10,000 per year, with only 5% of patients actually being diagnosed with cancer. The breast cancer pathway involves a triple assessment process, which includes a clinical examination, imaging (mammogram or ultrasound) and possibly a biopsy test. It is a particularly expensive process as it is an imagingintense pathway; this places considerable strain on NHS diagnostic facilities. Small changes will not be enough to solve this problem - a new approach is needed. The purpose of this study is to see if we can develop a blood test that can support doctors in identifying patients for whom the likelihood of having breast cancer is extremely low. This would avoid unnecessary referral for those patients to the one stop clinic. Patients with higher chances of suspected breast cancer would be referred to the one stop clinic in the usual way. Key to the idea of safely "ruling-out" patients is that the test must not miss patients who do have cancer. By measuring a broad range of indicators (markers) in blood, the test will provide a more accurate picture of the underlying biology. The test is also being developed within the NHS, so that it can be adopted quickly into NHS computer systems and laboratories to maximise patient benefit, whilst being held to the NHS's high standards for clinical evidence and value.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1370557
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive