The swallowing and speech after transoral robotic surgery-does the site impact the outcome?

Transoral robotic surgery (TORS) has been introduced to head and neck surgery as a minimally invasive techqniques to improve the functional outcomes of patients. Compare the functional outcome for swallowing and speech in each site of TORS within the head and neck. Retrospective cohort study for patients who underwent TORS within the head and neck unit.

Transoral robotic tongue base mucosectomy for head and neck cancer of unknown primary: six-year outcome experience.

Background And Objective: Head and neck carcinoma of unknown primary is a diagnostic dilemma. The clinical and imaging workup remains ineffective in two-thirds of patients. Transoral robotic surgery has shown an advantage in the primary detection over the previous standard panendoscopy.

Revision Transoral Robotic Surgery for Early Stage HPV Positive Oropharyngeal Squamous Cell Carcinoma, it's Timing and Margins: Past and Present- a Prospective Single Centre Observational Study.

To review cohort of patients with HPV positive early stage oropharyngeal cancer that underwent revision trans oral robotic surgery for positive or close margin for evidence of residual disease, its impact on survival and discussion about clear margin. This is a prospective observational study. Our TORS revision rate was 20.

Morbidity and Mortality Following Transoral Robotic Surgery, a Prospective Single Centre Study.

To review complications including mortality after transoral robotic surgery (TORS) for both benign and malignant pathologies. This is a prospective observational study. Postoperative haemorrhage (8.

Quantifying the impact of environment factors on the risk of medical responders' stress-related absenteeism.

Medical emergency response staff are exposed to incidents which may involve high-acuity patients or some intractable or traumatic situations. Previous studies on emergency response staff stress-related absence have focused on perceived factors and their impacts on absence leave. To date, analytical models on absenteeism risk prediction use past absenteeism to predict risk of future absenteeism.