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Value-Based Medicine (VBM) for Lung Cancer

Validation of Predictive Model in Value-based Medicine for Lung Cancer and Analysis of Its Implications for Patient Communication

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06703866
Acronym
VBM
Enrollment
200
Registered
2024-11-25
Start date
2021-01-27
Completion date
2024-12-31
Last updated
2024-11-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Brief summary

This is a prospective observational monocentric trial. The primary endpoint is the validation of predictive models. These predictive models will be used to develop a personalized clinical-functional risk profile for estimating in advance, prior to surgery, the probability for a patient to experience surgical complications, pain, fatigue, dyspnea, as well as issues related to physical function, role, social, and emotional well-being, up to 12 months post-discharge.

Detailed description

The goal of this prospective observational monocentric study is to validate a predictive models in patients with diagnosis of non-small cell lung cancer eligible for surgical lung resection (lobectomy/typical and atypical segmentectomy) with or without neo-adjuvant and adjuvant therapy. Participants will be asked to complete quality of life questionnaires before surgery and then at 30 days, 4 months, 8 months and 12 months post discharge. The informations collected through questionnaires, along with clinical data will be used to validate the predictive models created. These models will then be utilized to develop a personalized clinical-functional risk profile for estimating in advance, prior to surgery, the probability for a patient to experience surgical complications, pain, fatigue, dyspnea, as well as issues related to physical function, role, social, and emotional well-being, up to 12 months post-discharge.

Interventions

OTHERNon Small Cell Lung Cancer (NSCLC)

Application of value based medicine predictive model

Sponsors

European Institute of Oncology
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients aged ≥ 18 years * Patients with diagnosis of non-small cell lung carcinoma * Only patients eligible for surgical lung resection (lobectomy/typical and atypical segmentectomy) with or without neo-adjuvant and adjuvant therapy * Diagnosis of primary non-small cell lung cancer * Signed Informed Consent * Patients must be available for follow-up

Exclusion criteria

* Patients with benign lesion * Patients with recurrence who have already undergone lung surgery * Conditions/pathologies that prevent the ability to give consent

Design outcomes

Primary

MeasureTime frameDescription
Creation of a personalized clinical-functional risk profile12 monthsDevelopement of a personalized clinical-functional risk profile for estimating , prior to surgery, the probability for a patient to experience surgical complications, pain, fatigue, dyspnea, as well as issues related to physical function, role, social, and emotional well-being, up to 12 months post-discharge. The patient will be asked to complete questionnaires (EORTC QLQ-C30 / EORTC QLQ- LC13) on clinical-functional status and quality of life both before and after surgery, at 30 days, 4 months, 8 months and 12 months after discharge. The information acquired with the questionnaires, together with the clinical information acquired during the healthcare services, will be used to validate and refine the predictive models created and will be used to create a personalized clinical-functional risk profile.

Countries

Italy

Contacts

Primary ContactMonica Casiraghi
monica.casiraghi@ieo.it+39 02 57489425

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026