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. One group said: “These were not just ‘missed opportunities’ to stop a serial sex offender – they were decisions made by police forces to take no action against him and in doing so, to allow him to continue to target women.”as police say they are now investigating whether it was a
. Friends of the teen said she had been “bullied for years” and tormented at school because she was transgender.things, it is patients in deprived areas who are more likely to miss out when it comes to accessing HRT. An analysis of NHS prescriptions for HRT in England in the year up to June 2022 found that GP practices based in the least deprived parts of the country spent triple the amount on HRT per patient compared to those in the most deprived areas,.
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HRT postcode lottery leaves women in most deprived areas struggling to access treatmentWomen living in the most deprived parts of England are far less likely to be prescribed hormone replacement therapy to help them deal with the symptoms of the menopause 🔴 luciemheath reports:
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Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman - Journal of General Internal MedicineBackground Breast cancer risk models guide screening and chemoprevention decisions, but the extent and effect of variability among models, particularly at the individual level, is uncertain. Objective To quantify the accuracy and disagreement between commonly used risk models in categorizing individual women as average vs. high risk for developing invasive breast cancer. Design Comparison of three risk prediction models: Breast Cancer Risk Assessment Tool (BCRAT), Breast Cancer Surveillance Consortium (BCSC) model, and International Breast Intervention Study (IBIS) model. Subjects Women 40 to 74 years of age presenting for screening mammography at a multisite health system between 2011 and 2015, with 5-year follow-up for cancer outcome. Main Measures Comparison of model discrimination and calibration at the population level and inter-model agreement for 5-year breast cancer risk at the individual level using two cutoffs (≥ 1.67% and ≥ 3.0%). Key Results A total of 31,115 women were included. When using the ≥ 1.67% threshold, more than 21% of women were classified as high risk for developing breast cancer in the next 5 years by one model, but average risk by another model. When using the ≥ 3.0% threshold, more than 5% of women had disagreements in risk severity between models. Almost half of the women (46.6%) were classified as high risk by at least one of the three models (e.g., if all three models were applied) for the threshold of ≥ 1.67%, and 11.1% were classified as high risk for ≥ 3.0%. All three models had similar accuracy at the population level. Conclusions Breast cancer risk estimates for individual women vary substantially, depending on which risk assessment model is used. The choice of cutoff used to define high risk can lead to adverse effects for screening, preventive care, and quality of life for misidentified individuals. Clinicians need to be aware of the high false-positive and false-negative rates and variation between models when talking with pati
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Premier League reject attempts by Tottenham to sign retired star after 'shock bid'Tottenham have failed in their attempts to sign former Man United goalkeeper Ben Foster to cover for injured captain Hugo Lloris, according to reports.
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Super Bowl viewers in awe of American sign language interpreter Justina MilesRihanna’s American Sign Language interpreter stole the show during Sunday night’s Super Bowl as she jammed out to the popstar’s tracks while translating for the deaf community.
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