Publications by authors named "Alex Gentry-Maharaj"

Article Synopsis
  • - The ROCkeTS study aimed to find the best diagnostic test for ovarian cancer in symptomatic postmenopausal women by comparing multiple risk-prediction models in a real-world setting.
  • - Researchers recruited women aged 16-90 with non-specific symptoms and abnormal test results from 23 UK hospitals, excluding those with certain conditions like normal CA125 levels or other cancers.
  • - The study involved various diagnostic models and tests, including CA125 levels and ultrasound assessments, to evaluate their effectiveness in predicting ovarian cancer risk among the participants.
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Objective: Symptom-triggered testing for ovarian cancer was introduced to the UK whereby symptomatic women undergo an ultrasound scan and serum CA125, and are referred to hospital within 2 weeks if these are abnormal. The potential value of symptom-triggered testing in the detection of early-stage disease or low tumor burden remains unclear in women with high grade serous ovarian cancer. In this descriptive study, we report on the International Federation of Gynecology and Obstetrics (FIGO) stage, disease distribution, and complete cytoreduction rates in women presenting via the fast-track pathway and who were diagnosed with high grade serous ovarian cancer.

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Objective: To investigate psychological correlates in women referred with suspected ovarian cancer via the fast-track pathway, explore how anxiety and distress levels change at 12 months post-testing, and report cancer conversion rates by age and referral pathway.

Design: Single-arm prospective cohort study.

Setting: Multicentre.

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Early detection of ovarian cancer through screening may have impact on mortality from the disease. Approaches based on CA125 cut-off have not been effective. Longitudinal algorithms such as the Risk of Ovarian Cancer Algorithm (ROCA) to interpret CA125 have been shown to have higher sensitivity and specificity than a single cut-off.

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