‘New way’ of using standard blood test ‘could help spot cancer sooner’

Key Takeaways:

• New algorithm tailors platelet count interpretation by age and sex.
• Early detection could flag 10,000 patients annually before cancer diagnosis.
• Royal Devon University Healthcare NHS Foundation Trust pioneers implementation.
• High platelet counts can indicate cancers like lung and bowel cancer.
• Pilot program set for two years with potential NHS-wide rollout.

Revolutionizing Early Cancer Detection Through Blood Tests

A groundbreaking algorithm developed by scientists at the University of Exeter promises to enhance the way general practitioners (GPs) detect early warning signs of cancer. By interpreting standard blood tests in a more nuanced manner, this innovation could lead to earlier diagnoses and improved patient outcomes.

The Significance of Platelet Counts in Cancer Detection

High platelet counts in blood tests can sometimes indicate the presence of certain types of cancer, including lung and bowel cancers. Platelets, the tiny blood cells that help form clots to stop bleeding, vary in levels depending on a person’s age and sex. Despite this, current medical practices do not typically consider these variations when assessing platelet counts for potential cancer risks.

Limitations of Current Interpretations

“General practitioners know that a raised platelet count can be an early sign of cancer,” explains Professor Sarah Bailey, associate professor of primary care diagnostics at the University of Exeter. “This study will give them more information about when this should be taken as a warning sign and how to act on it.”

By overlooking age and sex differences, existing interpretations may miss critical indicators in some patients while causing unnecessary alarm in others. The new algorithm aims to address these shortcomings by providing a more tailored analysis of platelet levels.

The Development of a Tailored Algorithm

The research conducted by Professor Bailey and her team focuses on refining the clinical utility of platelet counts. By adjusting for age and sex, the algorithm provides GPs with enhanced insights into which elevated platelet counts warrant further investigation.

“This study paves the way for more tailored interpretation alongside practical advice for GPs about next steps,” Professor Bailey adds. “We’re delighted to see it in action in Devon already, and we hope to see it rolled out even further, to benefit patients and potentially save lives.”

Implementation at the Royal Devon University Healthcare NHS Foundation Trust

The Royal Devon University Healthcare NHS Foundation Trust (RDUH) is the first to incorporate this algorithm into routine blood analysis. Annually, the RDUH team conducts around 500,000 blood tests that include platelet readings. Initially, the new analysis will be piloted across five practices in Devon.

Professor Tim McDonald, clinical director for pathology at RDUH, highlights the simplicity and potential impact of the implementation: “This research really is a win-win for improving cancer diagnosis. It’s actually very simple for us to add to the routine tests we’re already conducting, and we hope it will mean that GPs can catch cancer in some patients earlier, which we know leads to the best outcomes.”

Projected Impact and Future Expansion

The research team estimates that using the algorithm could flag around 500 patients with raised platelet counts each year within the pilot group, potentially identifying cancer in approximately 20 individuals earlier than current methods would allow. If adopted across the National Health Service (NHS), experts believe the system could flag 10,000 patients annually who have elevated platelet levels before a cancer diagnosis.

The initial pilot is set to run for two years and includes plans for staged expansion into specific regions. Recognition of this early warning sign through the new algorithm could lead to earlier diagnoses nationwide and significantly better patient outcomes.

Conclusion

By integrating age and sex variations into the interpretation of standard blood tests, the new algorithm represents a significant advancement in primary care diagnostics. Its implementation could transform cancer detection practices, enabling GPs to identify potential cases earlier and improve survival rates. The pioneering work of the University of Exeter and the RDUH sets the stage for a potentially life-saving tool in the fight against cancer.