Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

We provide an updated assessment of the power of the Cherenkov Telescope Array (CTA) to search for thermally produced dark matter at the TeV scale, via the associated gamma-ray signal from pair-annihilating dark matter particles in the region around the Galactic centre. We find that CTA will open a new window of discovery potential, significantly extending the range of robustly testable models given a standard cuspy profile of the dark matter density distribution. Importantly, even for a cored profile, the projected sensitivity of CTA will be sufficient to probe various well-motivated models of thermally produced dark matter at the TeV scale. This is due to CTA's unprecedented sensitivity, angular and energy resolutions, and the planned observational strategy. The survey of the inner Galaxy will cover a much larger region than corresponding previous observational campaigns with imaging atmospheric Cherenkov telescopes. CTA will map with unprecedented precision the large-scale diffuse emission in high-energy gamma rays, constituting a background for dark matter searches for which we adopt state-of-the-art models based on current data. Throughout our analysis, we use up-to-date event reconstruction Monte Carlo tools developed by the CTA consortium, and pay special attention to quantifying the level of instrumental systematic uncertainties, as well as background template systematic errors, required to probe thermally produced dark matter at these energies

Identifying patients with a history of ovarian cancer for referral for genetic counselling : non-randomised comparison of two case-finding strategies in primary care

BACKGROUND: Recent guidelines recommend genetic counselling and DNA testing (GCT) for patients with ovarian cancer and survivors of ovarian cancer. Finding survivors of ovarian cancer is challenging. Detecting and referring them for GCT via primary care, to allow proper screening recommendations for patients and their family, may be a solution. AIM: To compare the effectiveness and acceptance of two pilot strategies directed at case finding women with a history of ovarian cancer for referral for GCT by their GP. DESIGN AND SETTING: Non-randomised comparison of the pilot implementation of two case-finding strategies for women with a history of ovarian cancer in Dutch primary care from May 2016 to April 2017. METHOD: Strategy A (unsupported) asked GPs to identify and refer eligible patients with a history of ovarian cancer. Strategy B (ICT-supported) provided GPs with information and communication technology (ICT) support to identify patients with a history of ovarian cancer electronically. The effectiveness of each strategy was assessed as the proportion of patients who were approached, referred for GCT, and seen by the clinical geneticist. Acceptance of each strategy was assessed by the intervention uptake of GP practices and GP and patient questionnaires. RESULTS: Nineteen out of 30 (63%) patients identified with a history of ovarian cancer were deemed eligible for referral for strategy A, and 39 out of 94 (41%) for strategy B. For each strategy, eight patients were referred and five (63%) were seen for GCT. The intervention uptake by GP practices was 31% (11 out of 36) for strategy A and 46% (21 out of 46) for strategy B. GPs considered 'relevance' and 'workability' as facilitators across both strategies whereas, for strategy B, technical barriers hindered implementation. CONCLUSION: The effectiveness and acceptance of both strategies for case finding of survivors of ovarian cancer in primary care for GCT is promising, but larger studies are required before wide-scale implementation is warranted