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| Name | Class |
|---|---|
| Head and Neck Cancer International Group (HNCIG) | UNKNOWN |
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This will be an international, multicenter, retrospective, observational, and data-driven study using secondary data captured in EHRs. The extraction of the data captured in the EHRs will be performed with SAVANA's EHRead®, an innovative data-driven system based on Natural Language Processing (NLP) and machine learning. For all patients, the Index Date is defined as the timepoint within the study period when they fulfill ALL inclusion criteria and no exclusion criteria. Follow-up comprises the period between Index Date and the last EHR available within the study period. Additional variable-specific time windows may be considered to optimize data collection.
The present study aims to describe the clinical characteristics of patients with HNSCC in a real-world setting by analyzing readily available information in the Electronic Health Records (EHRs). This study will gain a deep insight of the clinical characteristics and real-world outcomes of patients with all stages (early, locally advanced, and metastatic) of HNSCC. It will focus on developing two predictive models to apply in the clinical setting, one for electing patients with high-risk of recurrence after radical treatment, and the second one for selecting recurrent or metastatic patients who could benefit from immunotherapy.
To achieve the proposed study objectives we will use SAVANA´s EHRead® (11-15), a technology that applies Natural Language Processing (NLP) (16) and machine learning to extract, organize, and analyze the unstructured clinical information jotted down by health professionals in patients' EHRs.
Primary objectives
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with all stages of HNSCC (Full analysis set) | To describe median OS by primary tumor location (oral cavity, oropharynx, larynx, and hypopharynx) in HNSCC patients after stratification for prognostic factors, including tumor stage and treatment. |
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| Patients with early and locally advanced stages | To describe clinical characteristics and treatments and to compare OS in locally advanced HNSCC patients |
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| Patients with recurrent or metastatic disease | To describe the epidemiologic and clinical characteristics, and treatment and the impact of introducing immunotherapy in recurrent or metastatic HNSCC |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention - Just description and predictive models | Other | All the groups will be descriptive, there is not intervention, as it is an Observational study applying artificial Intelligence (RWE). |
| Measure | Description | Time Frame |
|---|---|---|
| Predictive model based on dynamic risk stratification (DRS) for the risk of recurrence or disease progression | To develop a predictive model based on dynamic risk stratification (DRS) for the risk of recurrence or disease progression following a primary curative treatment in HNSCC patients with early and locally advanced disease. | From 1st Jan 2021 |
| Predictive model based on dynamic risk stratification (DRS) aimed at identifying patients' features | To develop a predictive model based on dynamic risk stratification (DRS) aimed at identifying patients' features that predict long-term survival after immunotherapy in recurrent and metastatic HNSCC patients | From 1st Jan 2021 |
| Measure | Description | Time Frame |
|---|---|---|
| In all patients with all stages of HNSCC (full analysis set, FAS): | To describe median OS by primary tumor location (oral cavity, oropharynx, larynx, and hypopharynx) in HNSCC patients after stratification for prognostic factors, including tumor stage and treatment. | From 1st Jan 2021 |
| In patients with early and locally advanced stages of the disease (including all patients treated with curative intent): |
| Measure | Description | Time Frame |
|---|---|---|
| Exploratory objective | To describe the demographics, clinical characteristics, and treatment of patients with nasopharynx, paranasal sinus, and salivary gland tumors. | From 1st Jan 2021 |
Inclusion Criteria:
Exclusion Criteria:
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The Full Analysis Set (FAS) will comprise all adult patients with all stages of HNSCC. For completion of secondary objectives, two different subgroups based on stage of the disease will be considered. Treatment approaches will be analyzed in different cohorts of patients within each subgroup.
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| Name | Affiliation | Role |
|---|---|---|
| John Almeida | University Health Network and Mount Sinai Hospital | Study Chair |
| Sujith Baliaga | Ohio State University | Study Chair |
| David Casadevall | Medsavana S.L | Study Chair |
| Melvin Chua | National Cancer Centre, Singapore | Study Chair |
| Andreas Dietz | University Hospital of Leipzig | Study Chair |
| Robert Ferris | UPMC Hillman Cancer Center | Study Chair |
| Raul Giglio | Hopital Ángel H. Roffo de Buenos Aires | Study Chair |
| Chris Holsinger | Stanford University | Study Chair |
| Kate Hutcheson | M.D. Anderson Cancer Center | Study Chair |
| Husham Menhanna | Institute of Head and Neck Studies and Education (InHANSE) |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Savan Research S.L | Madrid | Madrid | 28013 | Spain |
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| ID | Term |
|---|---|
| D006258 | Head and Neck Neoplasms |
| D000077195 | Squamous Cell Carcinoma of Head and Neck |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
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| From 1st Jan 2021 |
| In patients with recurrent or metastatic disease: |
HNSCC:
| From 1st Jan 2021 |
| Study Chair |
| Pablo Parente | Hospital HM Rosaleda | Study Chair |
| Sandro Porceddu | Queensland Institute of Medical Research (QIMR) | Study Chair |
| Miren Taberna | Medsavana S.L | Principal Investigator |
| Christian Simon | CHUV Lausanne | Study Chair |
| D009375 |
| Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |