1,721,111 research outputs found
Editorial: Near-infrared fluorescence guided surgery: State of the evidence from a health technology assessment perspective
Full text linkIn this Research Topic for the Frontiers in Surgery Journal (Table 1), we present state-of-the-art on the clinical and patient-reported outcomes and organizational consequences of future improvements in fluorescence-guided surgery
Surgery or stereotactic ablative radiation therapy: How will be treated operable patients with early stage not small cell lung cancer in the next future?
No full textLung cancer stage distribution from before COVID-19 through 18 months of the pandemic: the experience of a large-volume oncological referral centre
Full text linksponsorship: This work was partially supported by the Italian Ministry of Health with Ricerca Corrente and 5x1000 funds. (Italian Ministry of Health)status: Publishe
Commentary: Nothing but a toothbrush for beginning the reduction of the postoperative costs in thoracic surgery
Full text linkCommentary on a RCT discussing postoperative procedures in thoracic surgery and their cost
Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?
No full text: Validation of predictive risk models for prolonged air leak (PAL) is essential to understand if they can help to reduce its incidence and complications. This study aimed to evaluate both the clinical and statistical performances of 4 existing models. We selected 4 predictive PAL risk models based on their scientific relevance. We referred to these models as Chicago, Bordeaux, Leeds and Pittsburgh model, respectively, according to the affiliation place of the first author. These predicting risk models were retrospectively applied to patients recorded on the second edition of the Italian Video-Assisted Thoracoscopic Surgery Group registry. Predictions for each patient were calculated based on the logistic regression coefficient values provided in the original manuscripts. All models were tested for their overall performance, discrimination, and calibration. We recalibrated the original models with the re-estimation of the model intercept and slope. We used curve decision analysis to describe and compare the clinical effects of the studied risk models. Better statistical metrics characterize the models developed on larger populations (Chicago and Bordeaux models). However, no model has a valid benefit for threshold probability greater than 0.30. The Net benefit of the most performing model (Bordeaux model) at the threshold probability of 0.11 is 23 of 1000 patients, burdened by 333 false positive cases. One of 1000 is the Net benefit at the threshold probability of 0.3. The use of PAL scores based on preoperative predictive factors cannot be currently used in a clinical setting because of a high false positive rate and low positive predictive value
Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?
No full textValidation of predictive risk models for prolonged air leak (PAL) is essential to understand if they can help to reduce its incidence and complications. This study aimed to evaluate both the clinical and statistical performances of 4 existing models. We selected 4 predictive PAL risk models based on their scientific relevance. We referred to these models as Chicago, Bordeaux, Leeds and Pittsburgh model, respectively, according to the affiliation place of the first author. These predicting risk models were retrospectively applied to patients recorded on the second edition of the Italian Video-Assisted Thoracoscopic Surgery Group registry. Predictions for each patient were calculated based on the logistic regression coefficient values provided in the original manuscripts. All models were tested for their overall performance, discrimination, and calibration. We recalibrated the original models with the re-estimation of the model intercept and slope. We used curve decision analysis to describe and compare the clinical effects of the studied risk models. Better statistical metrics characterize the models developed on larger populations (Chicago and Bordeaux models). However, no model has a valid benefit for threshold probability greater than 0.30. The Net benefit of the most performing model (Bordeaux model) at the threshold probability of 0.11 is 23 of 1000 patients, burdened by 333 false positive cases. One of 1000 is the Net benefit at the threshold probability of 0.3. The use of PAL scores based on preoperative predictive factors cannot be currently used in a clinical setting because of a high false positive rate and low positive predictive value
Work in progress report of a multicentre retrospective observational study to evaluate the association between the airflows and the intrapleural pressures digitally recorded after video-assisted lobectomy
No full text : OBJECTIVES: Digital chest drainage systems allow real-time and continuous monitoring and recording of air leak flow rate and intrapleural pressure (IPP) from the immediate postoperative period to the chest drainage removal. A multicentre retrospective observational analysis of consecutive patients undergoing pulmonary lobectomy for lung cancer was performed to evaluate the association between the airflow and IPP digitally recorded during the immediate postoperative period after video-assisted thoracic surgery (VATS) lobectomy for lung cancer. Here, we present a work in progress report. METHODS: All patients treated with VATS lobectomies for lung cancer were included. Multiple airflow measurements and minimum and maximum IPP through the chest tubes were digitally monitored and recorded using microelectronic mechanical sensor technology. The PALs were defined as an air leak lasting >5 days from the conclusion of the surgical procedure. The cessation of air leaks was defined as an airflow <10 ml/min during 6 consecutive hours. RESULTS: This analysis comprised 76 patients who underwent VATS lobectomy for lung cancer. Nineteen patients (25%) showed prolonged air leaks (PAL) (≥5 days). The operative time was higher in the PAL group (mean difference = 44 min) without a statistically significant difference. Before the 7th postoperative hours, there were no statistically significant differences in IPPs. CONCLUSIONS: Patients with PAL showed less negative IPP in the first 24 postoperative hours. Therefore, the 7th—24th postoperative hours were critical in PAL prediction since the mechanism for PAL seems to develop after the 7th postoperative hour
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