Catherine Rae, awaiting a life-saving ovarian cancer operation, was told there were no guarantees when she would get it on the NHS but she will now go into hospital next week
A cancer patient who was left in limbo waiting for a lifesaving operation on the NHS has been given a date for surgery after the Record contacted her health board.
Catherine was diagnosed with ovarian cancer in October 2022 and she started chemotherapy. She was told she would have three rounds and if everything looked good afterwards she would have an operation. “We were told by her surgeon the cancer was in her ovaries as well as the lining which covers her ovaries, her gallbladder, spleen and the surface of the lining of her bowel. Depending on what they find when they operate they may have to remove them all. You can live without these but if it spreads to major organs while waiting for the operation they’ll say they can’t perform the surgery and she will be left.
The couple believed that if the NHS could not carry out her surgery it should pick up the tab for her to have it done privately. They wrote to Health Secretary Humza Yousaf but were told it could take 20 days for a reply. And more recent figures showed around one in every five people had paid for surgery. Yesterday we told of Harvey Martin, nine who is in agony because of a curvature of his spine which should have been operated on last year.
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Nomogram prediction for the risk of venous thromboembolism in patients with lung cancer - Cancer Cell InternationalObjective The aim of this study was to establish a nomogram graph model to accurately predict the venous thromboembolism (VTE) risk probability in the general population with lung cancer. Methods Based on data from patients with lung cancer in Chongqing University Cancer Hospital of China, the independent risk factors of VTE were identified by the logistic univariable and multivariable analysis and were integrated to construct a nomogram, which was validated internally. The predictive effectiveness of the nomogram was evaluated by the receiver operating characteristic curve (ROC) and calibration curve. Results A total of 3398 lung cancer patients were included for analysis. The nomogram incorporated eleven independent VTE risk factors including karnofsky performance scale (KPS), stage of cancer, varicosity, chronic obstructive pulmonary disease (COPD), central venous catheter (CVC), albumin, prothrombin time (PT), leukocyte counts, epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), dexamethasone, and bevacizumab. The C-index of the nomogram model was 0.843 and 0.791 in the training and validation cohort, respectively, demonstrating good discriminative power. The calibration plots of the nomogram revealed excellent agreement between the predicted and actual probabilities. Conclusions We established and validated a novel nomogram for predicting the risk of VTE in patients with lung cancer. The nomogram model could precisely estimate the VTE risk of individual lung cancer patients and identify high-risk patients who are in need of a specific anticoagulation treatment strategy.
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