Robotic Surgery Is Safer and Improves Patient Recovery Time

3 min read

Robot-assisted surgery used to perform bladder cancer removal enables patients to recover far more quickly and spend significantly (20 per cent) less time in hospital, concludes a first-of-its kind clinical trial led by scientists at UCL and the University of Sheffield.

The study, published in JAMA and funded by The Urology Foundation with a grant from the Champniss Foundation, also found robotic surgery reduced the chance of readmission by half (52 percent), and revealed a “striking” four-fold (77 percent) reduction in prevalence of blood clots (deep vein thrombus & pulmonary emboli) – a significant cause of health decline and morbidity – when compared to patients who had open surgery.

Patients’ physical activity – assessed by daily steps tracked on a wearable smart sensor – stamina and quality of life also increased.

Unlike open surgery, where a surgeon works directly on a patient and involves large incisions in the skin and muscle, robot-assisted surgery allows surgeons to guide minimally invasive instruments remotely using a console and aided by 3D view. It is currently only available in a small number of UK hospitals.

Researchers say the findings provide the strongest evidence so far of the patient benefit of robot-assisted surgery and are now urging National Institute of Clinical Excellence (NICE) to make it available as a clinical option across the UK for all major abdominal surgeries including colorectal, gastro-intestinal, and gynecological.

Co-Chief Investigator, Professor John Kelly, Professor of Uro-Oncology at UCL’s Division of Surgery & Interventional Science and consultant surgeon at University College London Hospitals, said: “Despite robot-assisted surgery becoming more widely available, there has been no significant clinical evaluation of its overall benefit to patients’ recovery.

“In this study we wanted to establish if robot-assisted surgery, when compared to open surgery, reduced time spent in hospital, reduced readmissions, and led to better levels of fitness and quality of life; on all counts this was shown.

“An unexpected finding was the striking reduction in blood clots in patients receiving robotic surgery; this indicates a safe surgery with patients benefiting from far fewer complications, early mobilisation and a quicker return to normal life.”

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Co-Chief Investigator Professor James Catto, Professor of Urological Surgery at the Department of Oncology and Metabolism, University of Sheffield, said: “This is an important finding. Time in hospital is reduced and recovery is faster when using this advanced surgery.

“Ultimately, this will reduce bed pressures on the NHS and allow patients to return home more quickly. We see fewer complications from the improved mobility and less time spent in bed.

“The study also points to future trends in healthcare. Soon, we may be able to monitor recovery after discharge, to find those developing problems. It is possible that tracking walking levels would highlight those who need a district nurse visit or perhaps a check-up sooner in the hospital.”

“Previous trials of robotic surgery have focused on longer term outcomes. They have shown similar cancer cure rates and similar levels of long term recovery after surgery. None have looked at differences in the immediate days and weeks after surgery.”

Open surgery remains the NICE “gold standard” recommendation for highly complex surgeries, though the research team hope this could change.

Professor Kelly added: “In light of the positive findings, the perception of open surgery as the gold standard for major surgeries is now being challenged for the first time.

“We hope that all eligible patients needing major abdominal operations can now be offered the option of having robotic surgery.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.