Evaluation of the Learning Curve Threshold in Robot-Assisted Lung Cancer Surgery: A Nationwide Population-Based Study
2024

Learning Curve in Robot-Assisted Lung Cancer Surgery

Sample size: 3707 publication 10 minutes Evidence: moderate

Author Information

Author(s): Pierre-Benoit Pages, Jonathan Cottenet, Leslie Madelaine, Florian Dhérissard, Halim Abou-Hanna, Alain Bernard, Catherine Quantin

Primary Institution: CHU Dijon Bourgogne

Hypothesis

Does the threshold of 25 procedures guarantee quality care in robot-assisted lung cancer surgery?

Conclusion

A hospital needs to perform between 94 and 174 procedures to significantly reduce postoperative complications and ensure patient safety.

Supporting Evidence

  • The study found that 833 out of 3707 patients had Clavien–Dindo classification > II, indicating significant complications.
  • Eight out of 28 hospitals reached the learning curve threshold, performing between 94 and 174 procedures.
  • Severe complications were significantly more frequent in hospitals that did not validate the learning curve threshold.

Takeaway

To be good at robot surgery for lung cancer, hospitals need to do a lot more than just 25 surgeries; they should do at least 94 to 174 to keep patients safe.

Methodology

The study analyzed data from the French medico-administrative database for patients undergoing robot-assisted lung cancer surgery from 2019 to 2022, focusing on postoperative complications using the Clavien–Dindo classification.

Potential Biases

Potential bias due to the use of administrative data and the inability to track individual surgeon performance.

Limitations

The study lacks certain variables like TNM stage and FEV1, and it evaluates the surgical team rather than individual surgeons.

Participant Demographics

Patients included were those undergoing robot-assisted surgery for lung cancer, with a mean age of approximately 67 years and a mix of comorbidities.

Statistical Information

P-Value

0.028

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/cancers16244221

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