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Federico Mattiello
Observed names:
Mattiello, Federico,
Mattiello, Federico <1985>
Institution:
F. Hoffmann-La Roche AG
Observed institutions:
F. Hoffmann-La Roche AG,
BC Cancer Agency,
University of British Columbia,
University of Alberta,
Georgetown University,
Charles University,
Masaryk University,
Georgetown University Medical Center,
Ghent University,
Georgetown Lombardi Comprehensive Cancer Center
show all 10
OpenAlex ID:
A5113874523
A broken promise: microbiome differential abundance methods do not control the false discovery rate
2017
·
Stijn Hawinkel
, Federico Mattiello
, et al.
·
Briefings in Bioinformatics
·
199
Overall Survival Benefit in Patients With Rituximab-Refractory Indolent Non-Hodgkin Lymphoma Who Received Obinutuzumab Plus Bendamustine Induction and Obinutuzumab Maintenance in the GADOLIN Study
2018
·
Bruce D. Cheson
, Neil Chua
, et al.
·
Journal of Clinical Oncology
·
158
Integration of cell of origin into the clinical CNS International Prognostic Index improves CNS relapse prediction in DLBCL
2019
·
Magdalena Klanova
, Laurie H. Sehn
, et al.
·
Blood
·
127
PDF
A web application for sample size and power calculation in case-control microbiome studies
2016
·
Federico Mattiello
, Bie Verbist
, et al.
·
Bioinformatics
·
82
PDF
Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
2021
·
Lale Kostakoglu
, Federico Mattiello
, et al.
·
Haematologica
·
61
PDF
End-of-treatment PET/CT predicts PFS and OS in DLBCL after first-line treatment: results from GOYA
2021
·
Lale Kostakoglu
, Maurizio Martelli
, et al.
·
Blood Advances
·
58
PDF
Follicular Lymphoma Evaluation Index ( FLEX ): A new clinical prognostic model that is superior to existing risk scores for predicting progression‐free survival and early treatment failure after frontline immunochemotherapy
2020
·
Farheen Mir
, Federico Mattiello
, et al.
·
American Journal of Hematology
·
49
PDF
Obinutuzumab plus Bendamustine Followed by Obinutuzumab Maintenance Prolongs Overall Survival Compared with Bendamustine Alone in Patients with Rituximab-Refractory Indolent Non-Hodgkin Lymphoma: Updated Results of the GADOLIN Study
2016
·
Bruce D. Cheson
, Marek Trněný
, et al.
·
Blood
·
37
Treatment dependence of prognostic gene expression signatures in de novo follicular lymphoma
2021
·
Christopher R. Bolen
, Federico Mattiello
, et al.
·
Blood
·
36
PDF
Baseline PET-Derived Metabolic Tumor Volume Metrics Predict Progression-Free and Overall Survival in DLBCL after First-Line Treatment: Results from the Phase 3 GOYA Study
2017
·
Lale Kostakoglu
, Maurizio Martelli
, et al.
·
Blood
·
30
An efficient Bayesian platform trial design for borrowing adaptively from historical control data in lymphoma
2019
·
James Normington
, Jiawen Zhu
, et al.
·
Contemporary Clinical Trials
·
27
Baseline PET-Derived Metabolic Tumor Volume Metrics Did Not Predict Outcomes in Follicular Lymphoma Patients Treated with First-Line Immunochemotherapy and Antibody Maintenance in the Phase III GALLIUM Study
2018
·
Sally F Barrington
, Judith Trotman
, et al.
·
Blood
·
24
Impact of bone marrow biopsy on response assessment in immunochemotherapy-treated lymphoma patients in GALLIUM and GOYA
2020
·
Sarah C. Rutherford
, Michael Herold
, et al.
·
Blood Advances
·
23
A prognostic model integrating PET‐derived metrics and image texture analyses with clinical risk factors from GOYA
2022
·
Lale Kostakoglu
, Federico Dalmasso
, et al.
·
eJHaem
·
20
PDF
PET-CR as a potential surrogate endpoint in untreated DLBCL: meta-analysis and implications for clinical trial design
2022
·
Kristine Broglio
, Lale Kostakoglu
, et al.
·
Leukemia & lymphoma/Leukemia and lymphoma
·
11
Complete Response Status According to RECIL 2017 Criteria Shows High Concordance with Lugano 2014 Criteria and Is Highly Prognostic for Outcome in Previously Untreated Patients with CD20-Positive Diffuse Large B-Cell Lymphoma (DLBCL)
2019
·
Lale Kostakoglu
, Maurizio Martelli
, et al.
·
Blood
·
3
A Novel Prognostic Model That Is Superior to FLIPI-1 and FLIPI-2 and Integrates Clinical and Treatment Factors to Predict Progression-Free Survival and Early Treatment Failure in Patients with Follicular Lymphoma in the GALLIUM Trial
2018
·
Farheen Mir
, Andrew Grigg
, et al.
·
Blood
·
3
A comparison of the prognostic performance of the Lugano 2014 and RECIL 2017 response criteria in patients with NHL from the phase III GOYA and GALLIUM trials
2023
·
Lale Kostakoglu
, Maurizio Martelli
, et al.
·
eJHaem
·
2
Recil 2017 Criteria Demonstrated Similar Prognostic Value and Detected a Comparable Treatment Difference between Obinutuzumab- and Rituximab-Chemotherapy Compared with Cheson 2007 and Lugano 2014 Criteria in Patients with Previously Untreated Advanced-Stage Follicular Lymphoma
2020
·
Lale Kostakoglu
, Andrew Davies
, et al.
·
Blood
·
1
A Prognostic Model Integrating PET-Derived Quantitative Parameters and Image Texture Analyses Using Radiomics in a Large Prospective Phase III Trial, GOYA
2019
·
Lale Kostakoglu
, Paola Berchialla
, et al.
·
Blood
·
1
Bone Marrow Biopsy Impacts Response Assessment in a Minority of Patients with Follicular Lymphoma and Diffuse Large B-Cell Lymphoma Treated with Immunochemotherapy: Results from the Randomized Phase III GALLIUM and GOYA Trials
2018
·
Sarah C. Rutherford
, Michael Herold
, et al.
·
Blood
·
1
Permutation-based stochastic ordering using pairwise comparisons
2015
·
Mattiello, Federico <1985>
·
AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna)
·
1
Patient-Level Meta-Analysis of End-of-Therapy PET-CR as a Surrogate Endpoint for PFS and OS in Patients with Previously Untreated DLBCL: Implications for Clinical Trial Design
2019
·
Donald Berry
, Kristine Broglio
, et al.
·
Blood
A core laboratory approach to large-scale radiomics and machine-learning prediction of DLBCL outcomes after first-line treatment using results from the phase III GOYA study.
2019
·
Stephane Chauvie
, Federico Dalmasso
, et al.
·
Journal of Clinical Oncology
Principal bicorrelation analysis: Unraveling associations between three data sources
2015
·
Federico Mattiello
, Olivier Thas
, et al.
·
Journal of Biopharmaceutical Statistics
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Works count:
28
Citation count:
953
H-index:
14
I10-index:
15
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