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Robotic Assisted Major Lung Resection in Elderly Patients (ELDERLY)

S

Scientific Institute San Raffaele

Status

Enrolling

Conditions

Lung Cancer

Study type

Observational

Funder types

Other

Identifiers

NCT06496386
CET 234-2024

Details and patient eligibility

About

The study is a retrospective observational study. The study is designed to be multicentric and it will analyze medical records from selected patients that underwent major lung resection using DaVinci surgical platform performed in the participating centers.

There are no risks for the patients, as this is a retrospective data collection.

Full description

The investigators will recruit all patients who underwent major lung resection (segmentectomy, lobectomy, bilobectomy, or pneumonectomy using a robotic system) from May 2015 to December 2022.

Patients are divided into two groups: older than 80 years (case- very elderly patients) and younger than 80 years (control- elderly).

the aim: Minimally invasive techniques such as robot-assisted thoracoscopic surgery (RATS) can potentially reduce surgical trauma and therefore prove particularly beneficial for elderly patients.

Enrollment

386 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age >18 years at the moment of surgery
  • Suspected or confirmed diagnosis of lung cancer
  • The patient can be candidate in terms of cardiac, kidney, liver and respiratory function the primary pathology is under control or controllable
  • Absence of extrapulmonary metastases that are not controlled or controllable
  • All procedures included use of DaVinci robot system

Exclusion criteria

  • Age < 18 years at the moment of surgery
  • Patients who cannot undergo surgery, as they do not meet the conditions outlined above

Trial design

386 participants in 2 patient groups

very elderly patients
Description:
patients older than 80 years
elderly patients
Description:
patients younger than 80 years

Trial contacts and locations

2

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Central trial contact

Pierluigi Novellis, MD

Data sourced from clinicaltrials.gov

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