- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT07581379
Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2)
Protocol for an Observational Cohort Study Integrating Real-World Data and Microsimulation to Assess Imaging Surveillance Strategies in Stage I-IIIA NSCLC Patients in OneFlorida+
This observational study evaluates the effectiveness of computed tomography (CT) imaging surveillance after curative-intent treatment for stage I-IIIA non-small cell lung cancer (NSCLC) in a diverse U.S. population.
The main questions are:
How do CT surveillance use and adherence vary by race, ethnicity, and socioeconomic status?
Does semi-annual CT surveillance improve outcomes compared with annual surveillance?
Adults ages 20-90 with stage I-IIIA NSCLC treated between 2012 and 2026 will be identified using OneFlorida+ electronic health records, tumor registry data, claims, and clinical notes. Patients will be followed for up to five years after curative-intent therapy to evaluate surveillance patterns, recurrence, second primary lung cancers, complications, and survival.
Aperçu de l'étude
Statut
Description détaillée
This study, Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2), is an observational cohort study designed to evaluate real-world computed tomography (CT) imaging surveillance strategies following curative-intent treatment for early-stage non-small cell lung cancer (NSCLC). The study uses existing clinical data and does not assign interventions.
The study population includes adults ages 20-90 with pathologically confirmed stage I-IIIA NSCLC who completed curative-intent therapy. Patients treated between 2012 and 2026 will be identified within the OneFlorida+ Clinical Research Consortium and followed for up to five years after treatment to assess surveillance patterns and outcomes.
UF Health serves as the data coordinating site in collaboration with the OneFlorida+ Data Trust. Data sources include structured electronic health records, tumor registry data, selected claims, and unstructured clinical notes. Data extraction and cohort identification are conducted centrally using standardized definitions aligned with the PCORnet Common Data Model.
The primary objectives of the study are to:
- Describe utilization and adherence to guideline-recommended CT surveillance and evaluate determinants of use by race, ethnicity, socioeconomic status, and clinical factors.
- Compare recurrence, second primary lung cancers, complications, and survival among patients undergoing semi-annual versus annual CT surveillance.
- Use observational findings to inform microsimulation models that project long-term outcomes under alternative surveillance strategies.
Clinical natural language processing (NLP) methods are used to classify CT scans as routine surveillance versus symptom-directed diagnostic imaging and to extract recurrence indicators, smoking history, and selected social determinants of health from unstructured clinical notes. NLP outputs are integrated with structured data to improve classification accuracy and completeness.
Quality assurance procedures include automated checks for completeness, range, and internal consistency, validation against source EHR and tumor registry records, and maintenance of a standardized data dictionary defining all variables and coding systems. Standard operating procedures govern cohort assembly, quarterly data refreshes, data management, analysis, and reporting.
The expected cohort size is approximately 1,700 patients, providing sufficient power to evaluate surveillance utilization patterns and outcome differences by surveillance interval. Missing data will be addressed using multiple imputation and sensitivity analyses.
Statistical analyses include descriptive methods, multivariable and mixed-effects regression models, and time-to-event and competing-risk analyses. Results from the observational analyses will be used as inputs for microsimulation modeling to estimate long-term population-level outcomes associated with different CT surveillance strategies.
Type d'étude
Inscription (Réel)
Contacts et emplacements
Lieux d'étude
-
-
Florida
-
Gainesville, Florida, États-Unis, 32610
- University of Florida College of Medicine
-
-
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
- Enfant
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Méthode d'échantillonnage
Population étudiée
La description
Inclusion Criteria:
- Adults diagnosed with primary, pathologically confirmed stage I-IIIA non- small cell lung cancer (NSCLC).
- Received curative-intent therapy, including:
Surgical resection, or Stereotactic body radiation therapy (SBRT), with or without adjuvant therapy.
- Completed curative-intent therapy and survived at least 5 months after therapy initiation.
- Received care within the University of Florida (Gainesville or Jacksonville) health system, and are included in the OneFlorida+ clinical data network.
- Have available:
Structured EHR data (including tumor registry linkage, imaging, procedures, and vital statistics), and Unstructured clinical documents (clinic notes, radiology reports, pathology reports) enable NLP extraction.
- Have ≥1 follow-up encounter in the EHR after treatment completion to allow surveillance assessment.
Exclusion Criteria:
- Histology other than NSCLC, including:
Small-cell lung cancer Carcinoid tumors Rare non-NSCLC primary tumors
- Metastatic disease (stage IV) at diagnosis.
- No curative-intent therapy received (e.g., palliative treatment only).
- Patients with incomplete treatment records prevent the determination of the treatment completion date.
- Patients with no surveillance-relevant follow-up data, including:
No post-treatment clinical notes No radiology/pathology records No linked tumor registry or vital status data
- Patients with recurrence or who die within the first 5 months after starting curative-intent therapy (insufficient window for guideline-defined surveillance).
- Patients with missing identifiers prevent linkage to cancer registries or the death index.
- Individuals whose imaging cannot be classified as surveillance vs. diagnostic due to the absence of relevant structured or unstructured data.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
Cohortes et interventions
Groupe / Cohorte |
|---|
|
Target population includes confirmed stage I-IIIA NSCLC patients within the OneFlorida+ Consortium
|
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Guideline Adherence to Chest CT Surveillance
Délai: Up to 5 years after treatment completion
|
Proportion of patients who complete guideline-recommended post-treatment chest CT surveillance within prespecified rolling surveillance windows.
Guideline adherence will be defined using ±1-month and ±2-month allowable windows around each recommended surveillance time point.
Semi-annual surveillance (Years 0-2) will be assessed at recommended months 6, 12, 18, and 24, with adherence defined as completing a CT within months 5-7 or 4-8, 11-13 or 10-14, 17-19 or 16-20, and 23-25 or 22-26, respectively.
Annual surveillance (Years 3-5) will be assessed at recommended months 36, 48, and 60, with adherence defined as completing a CT within months 35-37 or 34-38, 47-49 or 46-50, and 59-61 or 58-62, respectively.
Patients will be censored at recurrence, death, loss to follow-up, or end of study.
|
Up to 5 years after treatment completion
|
|
Annual Rates of Guideline-Concordant Surveillance CT Imaging during post-treatment Years 1-5.
Délai: Year-specific rates are assessed annually for up to 5 years post-treatment.
|
Surveillance begins at completion of curative-intent therapy (surgery or SBRT ± adjuvant therapy), and only routine surveillance scans are included.
In Years 1-2, surveillance is guideline-concordant if CTs are completed within rolling 4-8-month intervals following either treatment completion or the prior surveillance CT.
In Years 3-5, surveillance is guideline-concordant if CTs occur within rolling 10-14-month intervals from the prior CT.
Patients are censored at recurrence, death, loss to follow-up, or end of study period.
|
Year-specific rates are assessed annually for up to 5 years post-treatment.
|
|
Time to First Recurrence
Délai: Up to 5 years post-treatment.
|
Time from completion of curative-intent therapy to the first documented cancer recurrence (local, regional, or distant).
Recurrence will be identified using structured electronic health records (EHR) recurrence fields, validated recurrence-detection algorithms, cancer registry linkage, and natural language processing (NLP) based extraction from radiology reports and clinical notes.
Patients will be censored at death without recurrence, loss to follow-up, or completion of 5-year follow-up.
|
Up to 5 years post-treatment.
|
|
Time to Second Primary Lung Cancer (SPLC)
Délai: Up to 5 years or end of follow up
|
Time from completion of curative-intent therapy to diagnosis of a metachronous second primary lung cancer (SPLC).
SPLC will be defined using standard criteria, including AJCC TNM staging, histologic distinction from the index tumor, cancer registry confirmation, and pathology report verification.
Among patients who develop SPLC, we will evaluate stage at SPLC diagnosis, histologic subtype (including bronchioloalveolar carcinoma), and receipt of adjuvant therapy.
Patients will be censored at death without SPLC, recurrence without SPLC, or completion of follow-up.
This outcome will be analyzed as a time-to-event measure consistent with other survival endpoints.
|
Up to 5 years or end of follow up
|
|
All-cause mortality
Délai: Up to 5 years post-treatment (or longest available follow-up).
|
Time from completion of curative intent treatment to death from any cause.
Vital status will be ascertained through institutional cancer registries, the National Death Index, and state death certificate data.
|
Up to 5 years post-treatment (or longest available follow-up).
|
|
Lung Cancer-Specific Mortality
Délai: Up to 5 years following treatment completion.
|
Time from completion of curative-intent treatment to death attributed specifically to lung cancer, analyzed under a competing-risk framework in which non-lung cancer deaths are treated as competing events.
Cause of death will be determined using institutional cancer registry data and National Death Index linkage.
|
Up to 5 years following treatment completion.
|
|
Mode of Recurrence Detection
Délai: Assessed at the time of recurrence, up to 5 years following treatment completion.
|
Classification of recurrence mode at the time of first recurrence. Recurrences will be categorized as:
Detection mode will be determined using electronic health record (EHR) documentation and natural language processing (NLP) extraction from radiology reports and clinical notes. Timing of recurrence (time to event) will be evaluated separately; early vs. later surveillance detection will be described, but has no clinical implications if timing windows shift. |
Assessed at the time of recurrence, up to 5 years following treatment completion.
|
|
Type of SPLC Detection
Délai: At SPLC diagnosis (≤5 years following treatment completion).
|
Classification of metachronous second primary lung cancer (SPLC) as either: Surveillance-detected: Identified during routine surveillance CT imaging in asymptomatic patients. Symptom-detected: Identified after new or worsening symptoms prompted diagnostic evaluation. Detection mode will be determined using EHR documentation and NLP extraction from radiology reports and clinical notes. |
At SPLC diagnosis (≤5 years following treatment completion).
|
|
Model-Projected Long-Term Survival Under Alternative Surveillance Strategies
Délai: At 5 years, 10 years, and over the model-projected lifetime horizon after the index surveillance decision
|
Microsimulation-projected overall and lung cancer-specific survival under semi-annual versus annual CT surveillance schedules. The model will be calibrated using recurrence, SPLC, and mortality data from Aims 1-2 and extrapolated to national incidence patterns using SEER data. Measure Description: Difference in projected survival outcomes between semi-annual and annual surveillance strategies, reported as:
Model estimates will be derived from a calibrated Markov microsimulation model informed by Aims 1-2 and extrapolated using SEER incidence. |
At 5 years, 10 years, and over the model-projected lifetime horizon after the index surveillance decision
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
CT Surveillance Pattern Classification (0-5 Years)
Délai: 0-5 years post treatment
|
Patients will be categorized into one of four mutually exclusive surveillance patterns based on completed post-treatment surveillance CT imaging from 0-5 years following curative intent therapy:
|
0-5 years post treatment
|
|
CT Surveillance Utilization Rate
Délai: Up to 5 years post treatment
|
Intensity of surveillance CT use, measured as scans per person time and/or completion of guideline-recommended surveillance intervals
|
Up to 5 years post treatment
|
|
False Positive Surveillance CT Results
Délai: Up to 5 years
|
Surveillance CT scans that trigger additional diagnostic evaluation (biopsy, PET CT, or repeat imaging) without a lung cancer diagnosis (recurrence or SPLC) within 6 months of the index scan.
Results will be classified as true positive, false positive, true negative, or false negative using cancer registry data and EHR documentation
|
Up to 5 years
|
|
Downstream Diagnostic Procedures After Surveillance CT
Délai: Up to 5 years following treatment completion
|
Frequency and type of diagnostic procedures, both invasive and non-invasive, performed following surveillance CT imaging, including transthoracic biopsy, transbronchial biopsy, bronchoscopy, and PET-CT.
|
Up to 5 years following treatment completion
|
|
Procedure Related Complications
Délai: Up to 5 years following treatment completion
|
Complications occurring within 7 days and 30 days of invasive diagnostic procedures (transthoracic, transbronchial, or surgical biopsies), including:
|
Up to 5 years following treatment completion
|
|
Recurrence Site / Pattern (Registry Based)
Délai: At recurrence (≤5 years)
|
Classification of recurrence site as local, regional, or distant, based on cancer registry definitions.
|
At recurrence (≤5 years)
|
|
Receipt of Treatment Following Recurrence or SPLC
Délai: At recurrence or SPLC diagnosis (≤5 years)
|
Time to treatment initiation following recurrence or SPLC diagnosis, and classification of treatment modality, including surgery, SBRT, targeted therapy, and immune checkpoint inhibitor therapy.
|
At recurrence or SPLC diagnosis (≤5 years)
|
Autres mesures de résultats
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Model Projected Recurrence/SPLC Detection Timing and Mode
Délai: From the index surveillance decision through the model-projected lifetime horizon (5 years, 10 years)
|
Model estimated timing of recurrence and SPLC detectability and symptom onset, and projected proportion detected through surveillance imaging versus symptom-prompted evaluation under alternative surveillance strategies. Measure Description: Projected distributions of:
|
From the index surveillance decision through the model-projected lifetime horizon (5 years, 10 years)
|
|
Model Projected Population Impact Under Varying Surveillance Uptake
Délai: Over the model-projected lifetime horizon after the index surveillance decision (5 years, 10 years)
|
Sensitivity analyses evaluating population-level outcomes under varying surveillance uptake levels (e.g., 50%, 70%, 90% adherence), including projected lung cancer deaths averted, earlier detection, false positive CTs, and downstream diagnostic complications. Measure Description: Projected population impacts under alternative surveillance schedules and uptake levels, including:
|
Over the model-projected lifetime horizon after the index surveillance decision (5 years, 10 years)
|
Collaborateurs et enquêteurs
Parrainer
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Réel)
Achèvement primaire (Estimé)
Achèvement de l'étude (Estimé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
- Processus pathologiques
- Tumeurs par site
- Tumeurs
- Maladies des voies respiratoires
- Maladies pulmonaires
- Tumeurs des voies respiratoires
- Tumeurs thoraciques
- Carcinome bronchique
- Tumeurs bronchiques
- Conditions pathologiques, signes et symptômes
- Tumeurs pulmonaires
- Maladie
- Carcinome pulmonaire non à petites cellules
Autres numéros d'identification d'étude
- IRB202300782
- R01CA284646 (Subvention/contrat des NIH des États-Unis)
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Étudie un produit d'appareil réglementé par la FDA américaine
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .
Essais cliniques sur Tumeurs pulmonaires
-
Taichung Veterans General HospitalComplétéCardiotoxicité | Cancer du poumon non à petites cellules (MeSH Term: Carcinoma, Non-Small-Cell Lung) | Effets secondaires liés aux médicaments et réactions indésirables (Terme MeSH) | Inhibiteur de la tyrosine kinase d'EGFRTaïwan
-
Fondazione del Piemonte per l'OncologiaRecrutementCancer du sein | Cancer des ovaires | Cancer colorectal | Mélanome (cancer de la peau) | Cancer du poumon non à petites cellules (MeSH Term: Carcinoma, Non-Small-Cell Lung)Italie