Publications by authors named "G Baietto"
Article Synopsis
- The study evaluated frailty in patients scheduled for elective thoracic surgery, noting that while frailty is linked to poor surgical outcomes, the best assessment method is still unclear.
- Using several frailty assessment tools, it was found that 53% of the 94 patients were prefrail or frail, with the Fried frailty phenotype being the most accurate predictor of postoperative complications.
- The study concluded that recognizing frailty and related factors, like depression and muscle health, could help surgeons improve patient outcomes, suggesting further research on interventions for frail patients undergoing surgery.
Pleural mesothelioma is an aggressive disease with diffuse nature, low median survival, and prolonged latency presenting difficulty in prognosis, diagnosis, and treatment. Here, we review all these aspects to underline the progress being made in its investigation and to emphasize how much work remains to be carried out to improve prognosis and treatment.
View Article and Find Full Text PDFLung cancer is still the leading cause of cancer-related death worldwide. Interest is growing towards early detection and advances in liquid biopsy to isolate circulating tumor cells (CTCs). This pilot study aimed to detect epithelial CTCs in the peripheral blood of early-stage non-small cell lung cancer (NSCLC) patients.
View Article and Find Full Text PDFBackground: Despite the use of robotics becoming increasingly popular among thoracic surgeons worldwide, there remains debate over the best robotic approach for lung resections. In this paper, we delineated the main port placement strategies and discussed their advantages and disadvantages.
Methods: A PubMed literature review was performed using key phrases such as "robotic lobectomy technique", "RATS lobectomy", and "port placement robotic lobectomy".
The aim of this study was to assess the impact of BMI on perioperative outcomes in patients undergoing VATS lobectomy or segmentectomy. Data from 5088 patients undergoing VATS lobectomy or segmentectomy, included in the VATS Group Italian Registry, were collected. BMI (kg/m) was categorized according to the WHO classes: underweight, normal, overweight, obese.
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