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001-es BibID:BIBFORM126277
035-os BibID:(scopus)85201493485
Első szerző:De Brouwer, Edward
Cím:Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study / De Brouwer E., Becker T., Werthen-Brabants L., Dewulf P., Iliadis D., Dekeyser C., Laureys G., Van Wijmeersch B., Popescu V., Dhaene T., Deschrijver D., Waegeman W., De Baets B., Stock M., Horakova D., Patti F., Izquierdo G., Eichau S., Girard M., Prat A., Lugaresi A., Grammond P., Kalincik T., Alroughani R., Grand'Maison F., Skibina O., Terzi M., Lechner-Scott J., Gerlach O., Khoury S. J., Cartechini E., Van Pesch V., Sa M. J., Weinstock-Guttman B., Blanco Y., Ampapa R., Spitaleri D., Solaro C., Maimone D., Soysal A., Iuliano G., Gouider R., Castillo-Trivino T., Sánchez-Menoyo J. L., Laureys G., van der Walt A., Oh J., Aguera-Morales E., Altintas A., Al-Asmi A., de Gans K., Fragoso Y., Csepany T., Hodgkinson S., Deri N., Al-Harbi T., Taylor B., Gray O., Lalive P., Rozsa C., McGuigan C., Kermode A., Sempere A. P., Mihaela S., Simo M., Hardy T., Decoo D., Hughes S., Grigoriadis N., Sas A., Vella N., Moreau Y., Peeters L.
Dátum:2024
ISSN:2767-3170
Megjegyzések:Background Disability progression is a key milestone in the disease evolution of people with multiple sclerosis (PwMS). Prediction models of the probability of disability progression have not yet reached the level of trust needed to be adopted in the clinic. A common benchmark to assess model development in multiple sclerosis is also currently lacking. Methods Data of adult PwMS with a follow-up of at least three years from 146 MS centers, spread over 40 countries and collected by the MSBase consortium was used. With basic inclusion criteria for quality requirements, it represents a total of 15, 240 PwMS. External validation was performed and repeated five times to assess the significance of the results. Transparent Reporting for Individual Prognosis Or Diagnosis (TRIPOD) guidelines were followed. Confirmed disability progression after two years was predicted, with a confirmation window of six months. Only routinely collected variables were used such as the expanded disability status scale, treatment, relapse information, and MS course. To learn the probability of disability progression, state-of-the-art machine learning models were investigated. The discrimination performance of the models is evaluated with the area under the receiver operator curve (ROC-AUC) and under the precision recall curve (AUC-PR), and their calibration via the Brier score and the expected calibration error. All our preprocessing and model code are available at https://gitlab.com/edebrouwer/ms_benchmark, making this task an ideal benchmark for predicting disability progression in MS. Findings Machine learning models achieved a ROC-AUC of 0?71 ? 0?01, an AUC-PR of 0?26 ? 0?02, a Brier score of 0?1 ? 0?01 and an expected calibration error of 0?07 ? 0?04. The history of disability progression was identified as being more predictive for future disability progression than the treatment or relapses history. Conclusions Good discrimination and calibration performance on an external validation set is achieved, using only routinely collected variables. This suggests machine-learning models can reliably inform clinicians about the future occurrence of progression and are mature for a clinical impact study.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Machine learning
disability progression
multiple sclerosis
Megjelenés:PLOS Digital Health. - 3 : 7 (2024), p. 1-25. -
További szerzők:Becker, Thijs Werthen-Brabants, Lorin Dewulf, Pieter Iliadis, Dimitrios Dekeyser, Cathérine Laureys, Guy Wijmeersch, Bart Van Popescu, Veronica Dhaene, Tom Deschrijver, Dirk Waegeman, Willem De Baets, Bernard Stock, Michael J. Horakova, Dana Patti, Francesco Izquierdo, Guillermo Eichau, Sara Girard, Marc Prat, Alexandre Lugaresi, Alessandra Grammond, Pierre Kalincik, Tomas Alroughani, Raed Grand'Maison, Francois Skibina, Olga Terzi, Murat Lechner-Scott, Jeannette Gerlach, Oliver Khoury, Samia J. Cartechini, Elisabetta Pesch, Vincent van Sá, Maria José Weinstock-Guttman, Bianca Blanco, Yolanda Ampapa, Radek Spitaleri, Daniele Solaro, Claudio Maimone, Davide Soysal, Aysun Iuliano, Gerardo Gouider, Riadh Castillo Triviño, Tamara Sanchez-Menoyo, Jose Laureys, Guy (Universitary Hospital Ghent) Walt, Anneke van der Oh, Jiwon Aguera-Morales, Eduardo Altintas, Ayse Al-Asmi, Abdullah de Gans, Koen Fragoso, Yara Csépány Tünde (1956-) (neurológus, pszichiáter) Hodgkinson, Suzanne Deri, Norma Al-Harbi, Talal Taylor, Bruce V. Gray, Orla Lalive, Patrice H. Rózsa Csilla McGuigan, Christopher Kermode, Allan G. Sempere, Perez A. Mihaela, Simu Simó Magdolna Hardy, Todd A. Decoo, Danny Hughes, Stella Grigoriadis, Nikolaos Sas Attila Vella Norbert Moreau, Yves Peeters, Liesbet
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001-es BibID:BIBFORM132945
035-os BibID:(scopus)85217750289 (wos)001434985500001
Első szerző:D'hondt, Robbe
Cím:Explainable time-to-progression predictions in multiple sclerosis / D'hondt Robbe, Dedja Klest, Aerts Sofie, Van Wijmeersch Bart, Kalincik Tomas, Reddel Stephen, Havrdova Eva Kubala, Lugaresi Alessandra, Weinstock-Guttman Bianca, Mrabet Saloua, Lalive Patrice, Kermode Allan G., Ozakbas Serkan, Patti Francesco, Prat Alexandre, Tomassini Valentina, Roos Izanne, Alroughani Raed, Gerlach Oliver, Khoury Samia J., van Pesch Vincent, Sá Maria José, Prevost Julie, Spitaleri Daniele, McCombe Pamela, Solaro Claudio, van der Walt Anneke, Butzkueven Helmut, Laureys Guy, Sánchez-Menoyo José Luis, de Gans Koen, Al-Asmi Abdullah, Deri Norma, Csepany Tunde, Al-Harbi Talal, Carroll William M., Rozsa Csilla, Singhal Bhim, Hardy Todd A., Ramanathan Sudarshini, Peeters Liesbet, Vens Celine, MSBase Study Group
Dátum:2025
ISSN:0169-2607
Megjegyzések:Background: Prognostic machine learning research in multiple sclerosis has been mainly focusing on black-box models predicting whether a patients' disability will progress in a fixed number of years. However, as this is a binary yes/no question, it cannot take individual disease severity into account. Therefore, in this work we propose to model the time to disease progression instead. Additionally, we use explainable machine learning techniques to make the model outputs more interpretable. Methods: A preprocessed subset of 29,201 patients of the international data registry MSBase was used. Disability was assessed in terms of the Expanded Disability Status Scale (EDSS). We predict the time to significant and confirmed disability progression using random survival forests, a machine learning model for survival analysis. Performance is evaluated on a time-dependent area under the receiver operating characteristic and the precision-recall curves. Importantly, predictions are then explained using SHAP and Bellatrex, two explainability toolboxes, and lead to both global (population-wide) as well as local (patient visit-specific) insights. Results: On the task of predicting progression in 2 years, the random survival forest achieves state-of-the-art performance, comparable to previous work employing a random forest. However, here the random survival forest has the added advantage of being able to predict progression over a longer time horizon, with AUROC >60% for the first 10 years after baseline. Explainability techniques further validated the model by extracting clinically valid insights from the predictions made by the model. For example, a clear decline in the per-visit probability of progression is observed in more recent years since 2012, likely reflecting globally increasing use of more effective MS therapies. Conclusion: The binary classification models found in the literature can be extended to a time-to-event setting without loss of performance, thus allowing a more comprehensive prediction of patient prognosis. Furthermore, explainability techniques proved to be key to reach a better understanding of the model and increase validation of its behaviour.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Disability progression
Explainable artificial intelligence
Longitudinal data
Multiple sclerosis
Survival analysis
Megjelenés:Computer Methods And Programs In Biomedicine. - 263 (2025), p. 1-23. -
További szerzők:Dedja, Klest Aerts, Sofie Wijmeersch, Bart Van Kalincik, Tomas Reddel, Stephen Havrdova, Eva Lugaresi, Alessandra Weinstock-Guttman, Bianca Mrabet, Saloua Lalive, Patrice H. Kermode, Allan G. Ozakbas, Serkan Patti, Francesco Prat, Alexandre Tomassini, Valentina Roos, Izanne Alroughani, Raed Gerlach, Oliver Khoury, Samia J. Pesch, Vincent van Sá, Maria José Prevost, Julie Spitaleri, Daniele McCombe, Pamela Solaro, Claudio Walt, Anneke van der Butzkueven, Helmut Laureys, Guy (Universitary Hospital Ghent) Sanchez-Menoyo, Jose de Gans, Koen Al-Asmi, Abdullah Deri, Norma Csépány Tünde (1956-) (neurológus, pszichiáter) Al-Harbi, Talal Carroll, William M. Rózsa Csilla Singhal, Bhim Hardy, Todd A. Ramanathan, Sudarshini Peeters, Liesbet Vens, Celine MSBase Study Group
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3.

001-es BibID:BIBFORM103011
035-os BibID:(Scopus)85102090793 (Wos)000656637200025
Első szerző:Kalincik, Tomas
Cím:Effect of Disease-Modifying Therapy on Disability in Relapsing-Remitting Multiple Sclerosis Over 15 Years / Kalincik Tomas, Diouf Ibrahima, Sharmin Sifat, Malpas Charles, Spelman Tim, Horakova Dana, Havrdova Eva Kubala, Trojano Maria, Izquierdo Guillermo, Lugaresi Alessandra, Prat Alexandre, Girard Marc, Duquette Pierre, Grammond Pierre, Jokubaitis Vilija, van der Walt Anneke, Grand'Maison Francois, Sola Patrizia, Ferraro Diana, Shaygannejad Vahid, Alroughani Raed, Hupperts Raymond, Terzi Murat, Boz Cavit, Lechner-Scott Jeannette, Pucci Eugenio, Van Pesch Vincent, Granella Franco, Bergamaschi Roberto, Spitaleri Daniele, Slee Mark, Vucic Steve, Ampapa Radek, McCombe Pamela, Ramo-Tello Cristina, Prevost Julie, Olascoaga Javier, Cristiano Edgardo, Barnett Michael, Saladino Maria Laura, Sanchez-Menoyo Jose Luis, Hodgkinson Suzanne, Rozsa Csilla, Hughes Stella, Moore Fraser, Shaw Cameron, Butler Ernest, Skibina Olga, Gray Orla, Kermode Allan, Csepany Tunde, Singhal Bhim, Shuey Neil, Piroska Imre, Taylor Bruce, Simo Magdolna, Sirbu Carmen-Adella, Sas Attila, Butzkueven Helmut, MSBase Study Group
Dátum:2021
ISSN:0028-3878 1526-632X
Megjegyzések:Objective To test the hypothesis that immunotherapy prevents long-term disability in relapsing-remitting multiple sclerosis (MS), we modeled disability outcomes in 14,717 patients. Methods We studied patients from MSBase followed for ?1 year, with ?3 visits, ?1 visit per year, and exposed to MS therapy, and a subset of patients with ?15-year follow-up. Marginal structural models were used to compare the cumulative hazards of 12-month confirmed increase and decrease in disability, Expanded Disability Status Scale (EDSS) step 6, and the incidence of relapses between treated and untreated periods. Marginal structural models were continuously readjusted for patient age, sex, pregnancy, date, disease course, time from first symptom, prior relapse history, disability, and MRI activity. Results A total of 14,717 patients were studied. During the treated periods, patients were less likely to experience relapses (hazard ratio 0.60, 95% confidence interval [CI] 0.43?0.82, p = 0.0016), worsening of disability (0.56, 0.38?0.82, p = 0.0026), and progress to EDSS step 6 (0.33, 0.19?0.59, p = 0.00019). Among 1,085 patients with ?15-year follow-up, the treated patients were less likely to experience relapses (0.59, 0.50?0.70, p = 10?9) and worsening of disability (0.81, 0.67?0.99, p = 0.043). Conclusion Continued treatment with MS immunotherapies reduces disability accrual by 19%?44% (95% CI 1%?62%), the risk of need of a walking aid by 67% (95% CI 41%?81%), and the frequency of relapses by 40?41% (95% CI 18%?57%) over 15 years. This study provides evidence that disease-modifying therapies are effective in improving disability outcomes in relapsing-remitting MS over the long term. Classification of Evidence This study provides Class IV evidence that, for patients with relapsing-remitting MS, long-term exposure to immunotherapy prevents neurologic disability.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Neurology. - 96 : 5 (2021), p. e783-e797. -
További szerzők:Diouf, Ibrahima Sharmin, Sifat Malpas, Charles Spelman, Tim Horakova, Dana Havrdova, Eva Trojano, Maria Izquierdo, Guillermo Lugaresi, Alessandra Prat, Alexandre Girard, Marc Duquette, Pierre Grammond, Pierre Jokubaitis, Vilija Walt, Anneke van der Grand'Maison, Francois Sola, Patrizia Ferraro, Diana Shaygannejad, Vahid Alroughani, Raed Hupperts, Raymond Terzi, Murat Boz, Cavit Lechner-Scott, Jeannette Pucci, Eugenio Pesch, Vincent van Granella, Franco Bergamaschi, Roberto Spitaleri, Daniele Slee, Mark Vucic, Steve Ampapa, Radek McCombe, Pamela Ramo-Tello, Cristina Prevost, Julie Olascoaga, Javier Cristiano, Edgardo Barnett, Michael Saladino, Maria Laura Sanchez-Menoyo, Jose Hodgkinson, Suzanne Rózsa Csilla Hughes, Stella Moore, Fraser Shaw, Cameron Butler, Ernest Skibina, Olga Gray, Orla Kermode, Allan G. Csépány Tünde (1956-) (neurológus, pszichiáter) Singhal, Bhim Shuey, Neil Piroska Imre Taylor, Bruce V. Simó Magdolna Sirbu, Carmen-Adella Sas Attila Butzkueven, Helmut MSBase Study Group
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4.

001-es BibID:BIBFORM083272
Első szerző:Kalincik, Tomas
Cím:Immunotherapy prevents long-term disability in relapsing multiple sclerosis over 15 years / Tomas Kalincik, Sifat Sharmin, Charles Malpas, Tim Spelman, Dana Horakova, Eva Kubala Havrdova, Maria Trojano, Guillermo Izquierdo, Alessandra Lugaresi, Alexandre Prat, Marc Girard, Pierre Duquette, Pierre Grammond, Vilija Jokubaitis, Anneke van der Walt, Francois Grand'Maison, Patrizia Sola, Diana Ferraro, Vahid Shaygannejad, Raed Alroughani, Raymond Hupperts, Murat Terzi, Cavit Boz, Jeannette Lechner-Scott, Eugenio Pucci, Vincent Van Pesch, Franco Granella, Roberto Bergamaschi, Daniele Spitaleri, Mark Slee, Steve Vucic, Radek Ampapa, Pamela McCombe, Cristina Ramo-Tello, Julie Prevost, Javier Olascoaga, Edgardo Cristiano, Michael Barnett, Maria Laura Saladino, Jose Luis Sanchez-Menoyo, Suzanne Hodgkinson, Csilla Rozsa, Stella Hughes, Fraser Moore, Cameron Shaw, Ernest Butler, Olga Skibina, Orla Gray, Allan Kermode, Tunde Csepany, Bhim Singhal, Neil Shuey, Imre Piroska, Bruce Taylor, Magdolna Simo, Carmen-Adella Sirbu, Attila Sas, Helmut Butzkueven, MSBase Study group
Dátum:2019
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:bioRxiv. - 2019 (2019), p. 1-41. -
További szerzők:Sharmin, Sifat Malpas, Charles Spelman, Tim Horakova, Dana Havrdova, Eva Trojano, Maria Izquierdo, Guillermo Lugaresi, Alessandra Prat, Alexandre Girard, Marc Duquette, Pierre Grammond, Pierre Jokubaitis, Vilija Walt, Anneke van der Grand'Maison, Francois Sola, Patrizia Ferraro, Diana Shaygannejad, Vahid Alroughani, Raed Hupperts, Raymond Terzi, Murat Boz, Cavit Lechner-Scott, Jeannette Pucci, Eugenio Pesch, Vincent van Granella, Franco Bergamaschi, Roberto Spitaleri, Daniele Slee, Mark Vucic, Steve Ampapa, Radek McCombe, Pamela Ramo-Tello, Cristina Prevost, Julie Olascoaga, Javier Cristiano, Edgardo Barnett, Michael Saladino, Maria Laura Sanchez-Menoyo, Jose Hodgkinson, Suzanne Rózsa Csilla Hughes, Stella Moore, Fraser Shaw, Cameron Butler, Ernest Skibina, Olga Gray, Orla Kermode, Allan G. Csépány Tünde (1956-) (neurológus, pszichiáter) Singhal, Bhim Shuey, Neil Piroska Imre Taylor, Bruce V. Simó Magdolna Sirbu, Carmen-Adella Sas Attila Butzkueven, Helmut MSBase Study Group
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5.

001-es BibID:BIBFORM135460
035-os BibID:(Scopus)105002792941 (WoS)001470351300001
Első szerző:Müller, Jannis
Cím:Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple Sclerosis / Jannis Müller, Sifat Sharmin, Johannes Lorscheider, Serkan Ozakbas, Rana Karabudak, Dana Horakova, Bianca Weinstock-Guttman, Vahid Shaygannejad, Masoud Etemadifar, Raed Alroughani, Francesco Patti, Sara Eichau, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Allan G. Kermode, Maria Pia Amato, Recai Turkoglu, Ayse Altintas, Katherine Buzzard, Aysun Soysal, Anneke van der Walt, Helmut Butzkueven, Yolanda Blanco, Oliver Gerlach, Samia J. Khoury, Michael Barnett, Nevin John, Jeannette Lechner-Scott, Matteo Foschi, Andrea Surcinelli, Vincent van Pesch, Julie Prevost, Maria Jose Sa, Davide Maimone, Marie D'hooghe, Stella Hughes, Suzanne Hodgkinson, Chris McGuigan, Elisabetta Cartechini, Bruce Taylor, Daniele Spitaleri, Mark Slee, Pamela McCombe, Bassem Yamout, Pascal Benkert, Jens Kuhle, Ludwig Kappos, Izanne Roos, Tomas Kalincik, PGCertBiostat, MSBase Study Group
Dátum:2025
Megjegyzések:Importance: Progression independent of relapse activity (PIRA) is a significant contributor to long-term disability accumulation in relapsing-remitting multiple sclerosis (MS). Prior studies have used varying PIRA definitions, hampering the comparability of study results. Objective: To compare various definitions of PIRA. Design, setting, and participants: This cohort study involved a retrospective analysis of prospectively collected data from the MSBase registry from July 2004 to July 2023. The participants were patients with MS from 186 centers across 43 countries who had clinically definite relapsing-remitting MS, a complete minimal dataset, and 3 or more documented Expanded Disability Status Scale (EDSS) assessments. Exposure: Three-hundred sixty definitions of PIRA as combinations of the following criteria: baseline disability (fixed baseline with re-baselining after PIRA, or plus re-baselining after relapses, or plus re-baselining after improvements), minimum confirmation period (6, 12, or 24 months), confirmation magnitude (EDSS score at/above worsening score or at/above threshold compared with baseline), freedom from relapse at EDSS score worsening (90 days prior, 90 days prior and 30 days after, 180 days prior and after, since previous EDSS assessment, or since baseline), and freedom from relapse at confirmation (30 days prior, 90 days prior, 30 days before and after, or between worsening and confirmation). Main outcome and measure: For each definition, we quantified PIRA incidence and persistence (ie, absence of a 3-month confirmed EDSS improvement over ?5 years). Results: Among 87 239 patients with MS, 33 303 patients fulfilled the inclusion criteria; 24 152 (72.5%) were female and 9151 (27.5%) were male. At the first visits, the mean (SD) age was 36.4 (10.9) years; 28 052 patients (84.2%) had relapsing-remitting MS, and the median (IQR) EDSS score was 2.0 (1.0-3.0). Participants had a mean (SD) 15.1 (11.9) visits over 8.9 (5.2) years. PIRA incidence ranged from 0.141 to 0.658 events per decade and persistence from 0.753 to 0.919, depending on the definition. In particular, the baseline and confirmation period influenced PIRA detection. The following definition yielded balanced incidence and persistence: a significant disability worsening compared with a baseline (reset after each PIRA event, relapse, and EDSS score improvement), in absence of relapses since the last EDSS assessment, confirmed with EDSS scores (not preceded by relapses within 30 days) that remained above the worsening threshold for at least 12 months. Conclusion and relevance: Incidence and persistence of PIRA are determined by the definition used. The proposed standardized definition aims to enhance comparability among studies.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:JAMA Neurology. - 82 : 6 (2025), p. 614-625. -
További szerzők:Sharmin, Sifat Lorscheider, Johannes Ozakbas, Serkan Karabudak, Rana Horakova, Dana Weinstock-Guttman, Bianca Shaygannejad, Vahid Etemadifar, Masoud Alroughani, Raed Patti, Francesco Eichau, Sara Prat, Alexandre Lugaresi, Alessandra Tomassini, Valentina Kermode, Allan G. Amato, Maria Pia Turkoglu, Recai Altintas, Ayse Buzzard, Katherine Soysal, Aysun Walt, Anneke van der Butzkueven, Helmut Blanco, Yolanda Gerlach, Oliver Khoury, Samia J. Barnett, Michael John, Nevin Lechner-Scott, Jeannette Foschi, Matteo Surcinelli, Andrea Pesch, Vincent van Prevost, Julie Sa, Maria Jose Maimone, Davide D'hooghe, Marie Hughes, Stella Hodgkinson, Suzanne McGuigan, Christopher Cartechini, Elisabetta Taylor, Bruce V. Spitaleri, Daniele Slee, Mark McCombe, Pamela Yamout, Bassem Benkert, Pascal Kuhle, Jens Kappos, Ludwig Roos, Izanne Kalincik, Tomas Csépány Tünde (1956-) (neurológus, pszichiáter) MSBase Study Group PGCertBiostat
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6.

001-es BibID:BIBFORM132947
035-os BibID:(scopus)105011413182 (wos)001536298500003
Első szerző:Pirmani, Ashkan
Cím:Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data / Pirmani Ashkan, De Brouwer Edward, Arany Ádám, Oldenhof Martijn, Passemiers Antoine, Faes Axel, Kalincik Tomas, Ozakbas Serkan, Gouider Riadh, Willekens Barbara, Horakova Dana, Havrdova Eva Kubala, Patti Francesco, Prat Alexandre, Lugaresi Alessandra, Tomassini Valentina, Grammond Pierre, Cartechini Elisabetta, Roos Izanne, Boz Cavit, Alroughani Raed, Amato Maria Pia, Buzzard Katherine, Lechner-Scott Jeannette, Guimaraes Joana, Solaro Claudio, Gerlach Oliver, Soysal Aysun, Kuhle Jens, Sanchez-Menoyo Jose Luis, Spitaleri Daniele, Csepany Tunde, Van Wijmeersch Bart, Ampapa Radek, Prevost Julie, Khoury Samia J., Van Pesch Vincent, John Nevin, Maimone Davide, Weinstock-Guttman Bianca, Laureys Guy, McCombe Pamela, Blanco Yolanda, Altintas Ayse, Al-Asmi Abdullah, Garber Justin, Van der Walt Anneke, Butzkueven Helmut, de Gans Koen, Rozsa Csilla, Taylor Bruce, Al-Harbi Talal, Sas Attila, Rajda Cecilia, Gray Orla, Decoo Danny, Carroll William M., Kermode Allan G., Fabis-Pedrini Marzena, Mason Deborah, Perez-Sempere Angel, Simu Mihaela, Shuey Neil, Singhal Bhim, Cauchi Marija, Hardy Todd A., Ramanathan Sudarshini, Lalive Patrice, Sirbu Carmen-Adella, Hughes Stella, Castillo Trivino Tamara, Peeters Liesbet M., Moreau Yves
Dátum:2025
ISSN:2398-6352
Megjegyzések:Early prediction of disability progression in multiple sclerosis (MS) remains challenging despite its critical importance for therapeutic decision-making. We present the first systematic evaluation of personalized federated learning (PFL) for 2-year MS disability progression prediction, leveraging multi-center real-world data from over 26,000 patients. While conventional federated learning (FL) enables privacy-aware collaborative modeling, it remains vulnerable to institutional data heterogeneity. PFL overcomes this challenge by adapting shared models to local data distributions without compromising privacy. We evaluated two personalization strategies: a novel AdaptiveDualBranchNet architecture with selective parameter sharing, and personalized fine-tuning of global models, benchmarked against centralized and client-specific approaches. Baseline FL underperformed relative to personalized methods, whereas personalization significantly improved performance, with personalized FedProx and FedAVG achieving ROC-AUC scores of 0.8398 ? 0.0019 and 0.8384 ? 0.0014, respectively. These findings establish personalization as critical for scalable, privacy-aware clinical prediction models and highlight its potential to inform earlier intervention strategies in MS and beyond.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:npj Digital Medicine. - 8 : 1 (2025), p. 1-15. -
További szerzők:De Brouwer, Edward Arany Ádám Oldenhof, Martijn Passemiers, Antoine Faes, Axel Kalincik, Tomas Ozakbas, Serkan Gouider, Riadh Willekens, Barbara Horakova, Dana Havrdova, Eva Patti, Francesco Prat, Alexandre Lugaresi, Alessandra Tomassini, Valentina Grammond, Pierre Cartechini, Elisabetta Roos, Izanne Boz, Cavit Alroughani, Raed Amato, Maria Pia Buzzard, Katherine Lechner-Scott, Jeannette Guimaraes, Joana Solaro, Claudio Gerlach, Oliver Soysal, Aysun Kuhle, Jens Sanchez-Menoyo, Jose Spitaleri, Daniele Csépány Tünde (1956-) (neurológus, pszichiáter) Wijmeersch, Bart Van Ampapa, Radek Prevost, Julie Khoury, Samia J. Pesch, Vincent van John, Nevin Maimone, Davide Weinstock-Guttman, Bianca Laureys, Guy (Universitary Hospital Ghent) McCombe, Pamela Blanco, Yolanda Altintas, Ayse Al-Asmi, Abdullah Garber, Justin Walt, Anneke van der Butzkueven, Helmut de Gans, Koen Rózsa Csilla Taylor, Bruce V. Al-Harbi, Talal Sas Attila Rajda Cecília Gray, Orla Decoo, Danny Carroll, William M. Kermode, Allan G. Fabis-Pedrini, Marzena Mason, Deborah Perez-Sempere, Angel Simu, Mihaela Shuey, Neil Singhal, Bhim Cauchi, Marija Hardy, Todd A. Ramanathan, Sudarshini Lalive, Patrice H. Sirbu, Carmen-Adella Hughes, Stella Castillo Triviño, Tamara Peeters, Liesbet Moreau, Yves
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7.

001-es BibID:BIBFORM116385
035-os BibID:(Scopus)85176495277 (WOS)001063488100001
Első szerző:Sharmin, Sifat
Cím:The risk of secondary progressive multiple sclerosis is geographically determined but modifiable / Sharmin Sifat, Roos Izanne, Simpson-Yap Steve, Charles Malpas, Marina M. Sánchez, Serkan Ozakbas, Dana Horakova, Eva K. Havrdova, Francesco Patti, Raed Alroughani, Guillermo Izquierdo, Sara Eichau, Cavit Boz, Magd Zakaria, Marco Onofrj, Alessandra Lugaresi, Bianca Weinstock-Guttman, Alexandre Prat, Marc Girard, Pierre Duquette, Murat Terzi, Maria Pia Amato, Rana Karabudak, Francois Grand'Maison, Samia J. Khoury, Pierre Grammond, Jeannette Lechner-Scott, Katherine Buzzard, Olga Skibina, Anneke van der Walt, Helmut Butzkueven, Recai Turkoglu, Ayse Altintas, Davide Maimone, Allan Kermode, Nevin Shalaby, Vincent V. Pesch, Ernest Butler, Youssef Sidhom, Riadh Gouider, Saloua Mrabet, Oliver Gerlach, Aysun Soysal, Michael Barnett, Jens Kuhle, Stella Hughes, Maria J. Sa, Suzanne Hodgkinson, Celia Oreja-Guevara, Radek Ampapa, Thor Petersen, Cristina Ramo-Tello, Daniele Spitaleri, Pamela McCombe, Bruce Taylor, Julie Prevost, Matteo Foschi, Mark Slee, Chris McGuigan, Guy Laureys, Liesbeth V. Hijfte, Koen de Gans, Claudio Solaro, Jiwon Oh, Richard Macdonell, Eduardo Aguera-Morales, Bhim Singhal, Orla Gray, Justin Garber, Bart V. Wijmeersch, Mihaela Simu, Tamara Castillo-Triviño, Jose L. Sanchez-Menoyo, Dheeraj Khurana, Abdullah Al-Asmi, Talal Al-Harbi, Norma Deri, Yara Fragoso, Patrice H. Lalive, L. G. F. Sinnige, Cameron Shaw, Neil Shuey, Tunde Csepany, Angel P. Sempere, Fraser Moore, Danny Decoo, Barbara Willekens, Claudio Gobbi, Jennifer Massey, Todd Hardy, John Parratt, Tomas Kalincik, the MSBase investigators
Dátum:2023
ISSN:0006-8950
Megjegyzések:Geographical variations in the incidence and prevalence of multiple sclerosis have been reported globally. Latitude as a surrogate for exposure to ultraviolet radiation but also other lifestyle and environmental factors are regarded as drivers of this variation. No previous studies evaluated geographical variation in the risk of secondary progressive multiple sclerosis, an advanced form of multiple sclerosis that is characterized by steady accrual of irreversible disability.We evaluated differences in the risk of secondary progressive multiple sclerosis in relation to latitude and country of residence, modified by high-to-moderate efficacy immunotherapy in a geographically diverse cohort of patients with relapsing-remitting multiple sclerosis. The study included relapsing-remitting multiple sclerosis patients from the global MSBase registry with at least one recorded assessment of disability. Secondary progressive multiple sclerosis was identified as per clinician diagnosis. Sensitivity analyses used the operationalized definition of secondary progressive multiple sclerosis and the Swedish decision tree algorithm. A proportional hazards model was used to estimate the cumulative risk of secondary progressive multiple sclerosis by country of residence (latitude), adjusted for sex, age at disease onset, time from onset to relapsing-remitting phase, disability (Multiple Sclerosis Severity Score) and relapse activity at study inclusion, national multiple sclerosis prevalence, government health expenditure, and proportion of time treated with high-to-moderate efficacy disease-modifying therapy. Geographical variation in time from relapsing-remitting phase to secondary progressive phase of multiple sclerosis was modelled through a proportional hazards model with spatially correlated frailties.We included 51 126 patients (72% female) from 27 countries. The median survival time from relapsing-remitting phase to secondary progressive multiple sclerosis among all patients was 39 (95% confidence interval: 37 to 43) years. Higher latitude [median hazard ratio = 1.21, 95% credible interval (1.16, 1.26)], higher national multiple sclerosis prevalence [1.07 (1.03, 1.11)], male sex [1.30 (1.22, 1.39)], older age at onset [1.35 (1.30, 1.39)], higher disability [2.40 (2.34, 2.47)] and frequent relapses [1.18 (1.15, 1.21)] at inclusion were associated with increased hazard of secondary progressive multiple sclerosis. Higher proportion of time on high-to-moderate efficacy therapy substantially reduced the hazard of secondary progressive multiple sclerosis [0.76 (0.73, 0.79)] and reduced the effect of latitude [interaction: 0.95 (0.92, 0.99)]. At the country-level, patients in Oman, Tunisia, Iran and Canada had higher risks of secondary progressive multiple sclerosis relative to the other studied regions.Higher latitude of residence is associated with a higher probability of developing secondary progressive multiple sclerosis. High-to-moderate efficacy immunotherapy can mitigate some of this geographically co-determined risk. By analysing longitudinal data from 27 countries, Sharmin et al. reveal a geographically varying risk of conversion to secondary progressive disease in patients with multiple sclerosis. Higher latitude of residence increases the risk while high-to-moderate efficacy immunotherapies reduce the risk substantially.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
disease-modifying therapy
geography
health expenditure
latitude
secondary progressive multiple sclerosis
Megjelenés:Brain. - 146 : 11 (2023), p. 4633-4644. -
További szerzők:Roos, Izanne Simpson-Yap, Steve Malpas, Charles Sánchez, Marina M. Ozakbas, Serkan Horakova, Dana Havrdova, Eva Patti, Francesco Alroughani, Raed Izquierdo, Guillermo Eichau, Sara Boz, Cavit Zakaria, Magd Onofrj, Marco Lugaresi, Alessandra Weinstock-Guttman, Bianca Prat, Alexandre Girard, Marc Duquette, Pierre Terzi, Murat Amato, Maria Pia Karabudak, Rana Grand'Maison, Francois Khoury, Samia J. Grammond, Pierre Lechner-Scott, Jeannette Buzzard, Katherine Skibina, Olga Walt, Anneke van der Butzkueven, Helmut Turkoglu, Recai Altintas, Ayse Maimone, Davide Kermode, Allan G. Shalaby, Nevin Pesch, Vincent van Butler, Ernest Sidhom, Youssef Gouider, Riadh Mrabet, Saloua Gerlach, Oliver Soysal, Aysun Barnett, Michael Kuhle, Jens Hughes, Stella Sá, Maria José Hodgkinson, Suzanne Oreja-Guevara, Celia Ampapa, Radek Petersen, Thor Ramo-Tello, Cristina Spitaleri, Daniele McCombe, Pamela Taylor, Bruce V. Prevost, Julie Foschi, Matteo Slee, Mark McGuigan, Christopher Laureys, Guy Hijfte, Liesbeth V. de Gans, Koen Solaro, Claudio Oh, Jiwon Macdonell, Richard Aguera-Morales, Eduardo Singhal, Bhim Gray, Orla Garber, Justin Wijmeersch, Bart Van Mihaela, Simu Castillo Triviño, Tamara Sanchez-Menoyo, Jose Khurana, Dheeraj Al-Asmi, Abdullah Al-Harbi, Talal Deri, Norma Fragoso, Yara Lalive, Patrice H. Sinnige, L. G. F. Shaw, Cameron Shuey, Neil Csépány Tünde (1956-) (neurológus, pszichiáter) Sempere, Perez A. Moore, Fraser Decoo, Danny Willekens, Barbara Gobbi, Claudio Massey, Jennifer Hardy, Todd A. Parratt, John Kalincik, Tomas the MSBase investigators
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8.

001-es BibID:BIBFORM103021
035-os BibID:(Wos)000809732300001 (Scopus)85131507832
Első szerző:Sharmin, Sifat
Cím:Confirmed disability progression as a marker of permanent disability in multiple sclerosis / Sharmin Sifat, Bovis Francesca, Malpas Charles, Horakova Dana, Havrdova Eva Kubala, Izquierdo Guillermo, Eichau Sara, Trojano Maria, Prat Alexandre, Girard Marc, Duquette Pierre, Onofrj Marco, Lugaresi Alessandra, Grand'Maison Francois, Grammond Pierre, Sola Patrizia, Ferraro Diana, Terzi Murat, Gerlach Oliver, Alroughani Raed, Boz Cavit, Shaygannejad Vahid, van Pesch Vincent, Cartechini Elisabetta, Kappos Ludwig, Lechner-Scott Jeannette, Bergamaschi Roberto, Turkoglu Recai, Solaro Claudio, Iuliano Gerardo, Granella Franco, Van Wijmeersch Bart, Spitaleri Daniele, Slee Mark, McCombe Pamela, Prevost Julie, Ampapa Radek, Ozakbas Serkan, Sanchez-Menoyo Jose Luis, Soysal Aysun, Vucic Steve, Petersen Thor, de Gans Koen, Butler Ernest, Hodgkinson Suzanne, Sidhom Youssef, Gouider Riadh, Cristiano Edgardo, Castillo-Trivino Tamara, Saladino Maria Laura, Barnett Michael, Moore Fraser, Rozsa Csilla, Yamout Bassem, Skibina Olga, van der Walt Anneke, Buzzard Katherine, Gray Orla, Hughes Stella, Sempere Angel Perez, Singhal Bhim, Fragoso Yara, Shaw Cameron, Kermode Allan, Taylor Bruce, Simo Magdolna, Shuey Neil, Al-Harbi Talal, Macdonell Richard, Dominguez Jose Andres, Csepany Tunde, Sirbu Carmen-Adella, Sormani Maria Pia, Butzkueven Helmut, Kalincik Tomas
Dátum:2022
ISSN:1351-5101
Megjegyzések:Background and purpose: The prevention of disability over the long term is the main treatment goal in multiple sclerosis (MS); however, randomized clinical trials evaluate only short-term treatment effects on disability. This study aimed to define criteria for 6-month confirmed disability progression events of MS with a high probability of resulting in sustained long-term disability worsening. Methods: In total, 14,802 6- month confirmed disability progression events were identified in 8741 patients from the global MSBase registry. For each 6-month confirmed progression event (13,321 in the development and 1481 in the validation cohort), a sustained progression score was calculated based on the demographic and clinical characteristics at the time of progression that were predictive of long-term disability worsening. The score was externally validated in the Cladribine Tablets Treating Multiple Sclerosis Orally (CLARITY) trial. Results: The score was based on age, sex, MS phenotype, relapse activity, disability score and its change from baseline, number of affected functional system domains and worsening in six of the domains. In the internal validation cohort, a 61% lower chance of improvement was estimated with each unit increase in the score (hazard ratio 0.39, 95% confidence interval 0.29?0.52; discriminatory index 0.89). The proportions of progression events sustained at 5 years stratified by the score were 1: 72%; 2: 88%; 3: 94%; 4: 100%. The results of the CLARITY trial were confirmed for reduction of disability progression that was >88% likely to be sustained (events with score ?1.5).Conclusions: Clinicodemographic characteristics of 6-month confirmed disability progression events identify those at high risk of sustained long-term disability. This knowledge will allow future trials to better assess the effect of therapy on long-term disability accrual.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:European Journal Of Neurology. - 29 : 8 (2022), p. 2321-2334. -
További szerzők:Bovis, Francesca Malpas, Charles Horakova, Dana Havrdova, Eva Izquierdo, Guillermo Eichau, Sara Trojano, Maria Prat, Alexandre Girard, Marc Duquette, Pierre Onofrj, Marco Lugaresi, Alessandra Grand'Maison, Francois Grammond, Pierre Sola, Patrizia Ferraro, Diana Terzi, Murat Gerlach, Oliver Alroughani, Raed Boz, Cavit Shaygannejad, Vahid Pesch, Vincent van Cartechini, Elisabetta Kappos, Ludwig Lechner-Scott, Jeannette Bergamaschi, Roberto Turkoglu, Recai Solaro, Claudio Iuliano, Gerardo Granella, Franco Wijmeersch, Bart Van Spitaleri, Daniele Slee, Mark McCombe, Pamela Prevost, Julie Ampapa, Radek Ozakbas, Serkan Sanchez-Menoyo, Jose Soysal, Aysun Vucic, Steve Petersen, Thor de Gans, Koen Butler, Ernest Hodgkinson, Suzanne Sidhom, Youssef Gouider, Riadh Cristiano, Edgardo Castillo Triviño, Tamara Saladino, Maria Laura Barnett, Michael Moore, Fraser Rózsa Csilla Yamout, Bassem Skibina, Olga Walt, Anneke van der Buzzard, Katherine Gray, Orla Hughes, Stella Sempere, Perez A. Singhal, Bhim Fragoso, Yara Shaw, Cameron Kermode, Allan G. Taylor, Bruce V. Simó Magdolna Shuey, Neil Al-Harbi, Talal Macdonell, Richard Dominguez, Jose Andres Csépány Tünde (1956-) (neurológus, pszichiáter) Sirbu, Carmen-Adella Sormani, Maria Pia Butzkueven, Helmut Kalincik, Tomas
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9.

001-es BibID:BIBFORM135464
035-os BibID:(Scopus)105029267510 (WoS)001679383200001
Első szerző:Souissi, Amira
Cím:Effect of late-onset on multiple sclerosis phenotype and outcome : evidence from a multi-national registry / Amira Souissi, Francesco Patti, Tim Spelman, Clara Chisari, Amina Gargouri, Nevin John, Allan G. Kermode, Tomas Kalincik, Helmut Butzkueven, Seyed Aidin Sajedi, Jeannette Lechner?Scott, Izanne Roos, Guy Laureys, Bruce Taylor, Raed Alroughani, Samia J. Khoury, Richard Macdonell, Bianca Weinstock?Guttman, Eva Kubala Havrdova, Davide Maimone, Stephen Reddel, Marzena Fabis?Pedrini, Barbara Willekens, Abdorreza Naser Moghadasi, Patrice Lalive, Alessandra Lugaresi, Serkan Ozakbas, Claudio Solaro, Simón Cárdenas?Robledo, Vahid Shaygannejad, Masoud Etemadifar, Cavit Boz, Sara Eichau, Valentina Tomassini, Murat Terzi, Alexandre Prat45 · Mario Habek46 · Yolanda Blanco47 · Ayse Altintas48 · Oliver Gerlach49,50 · Recai Turkoglu51 · Katherine Buzzard52 · Olga Skibina53,54,55 · Aysun Soysal56 · Anneke van der Walt, Stella Hughes, Vincent van Pesch, Matteo Foschi, Andrea Surcinelli, Julie Prevost, Cristina Ramo?Tello, Chris McGuigan, Maria Jose Sa, Jens Kuhle, Daniele Spitaleri, Bhim Singhal, Radek Ampapa, Koen de Gans, Thor Petersen, Mihaela Simu, Emmanuelle Lapointe, Jose Luis Sanchez?Menoyo, Orla Gray, Justin Garber, Eduardo Aguera?Morales, Katrin Gross?Paju, Tamara Castillo?Triviño, Abdullah Al?Asmi, Nikolaos Grigoriadis, Jihad Inshasi, Talal Al?Harbi, Todd A. Hardy, Sudarshini Ramanathan, Melissa Cambron, Neil Shuey, Angel Perez sempere, Tunde Csepany, Irene Treviño?Frenk, Csilla Rozsa, Marija Cauchi, Rana Karabudak, Saloua Mrabet, Riadh Gouider
Dátum:2026
ISSN:0340-5354
Megjegyzések:Background Multiple Sclerosis (MS) severity is influenced by several factors. Understanding the impact of age at disease onset may help to better characterize clinical and disease features across age groups. This study aimed to characterize the clinical features and disability outcomes of late-onset MS (LOMS) and very late-onset MS (vLOMS), compared to adultonset MS (AOMS). Methods We conducted an observational study using data from the MSBase registry and categorized patients based on age at MS onset: AOMS (18?39 years), transition onset (40?49 years), LOMS (50?59 years), and vLOMS (?60 years). Disease progression was assessed using the 24 week confirmed disability progression, EDSS4 and 6 milestones, conversion to secondary progressive MS(SPMS), and the first progression independent of relapse activity (PIRA) event. Cox proportional hazard regression models were used to determine unadjusted hazard ratios(HR), and propensity score inverse probability of treatment weighting(PS-IPTW) balanced covariate distributions. Results Among 81,236 patients, 5.2% had LOMS and 1% had vLOMS. Primary progressive MS was more frequent in LOMS and vLOMS (21.7 and 24%, respectively). Patients with LOMS and vLOMS had a significantly increased risk of 24 week confirmed disability progression (HR:LOMS=1.39, vLOMS=1.80), EDSS 4 (HR:LOMS=2.14, vLOMS=2.95), EDSS 6 (HR:LOMS=2.33, vLOMS=6.33), SPMS (HR:LOMS=1.62, vLOMS=2.38), and first PIRA event (HR:LOMS=2.12, vLOMS=2.93). Conclusion LOMS and vLOMS exhibited a more progressive disease onset and higher disability milestones compared with AOMS.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Multiple Sclerosis
Prognosis
Aging
Progression
Immunosenescence
Megjelenés:Journal Of Neurology. - 273 : 2 (2026), p. 1-15. -
További szerzők:Patti, Francesco Spelman, Tim Chisari, Clara Gargouri, Amina John, Nevin Kermode, Allan G. Kalincik, Tomas Butzkueven, Helmut Sajedi, Seyed Aidin Lechner-Scott, Jeannette Roos, Izanne Laureys, Guy Taylor, Bruce V. Alroughani, Raed Khoury, Samia J. Macdonell, Richard Weinstock-Guttman, Bianca Havrdova, Eva Maimone, Davide Reddel, Stephen Fabis-Pedrini, Marzena Willekens, Barbara Moghadasi, Abdorreza Naser Lalive, Patrice H. Lugaresi, Alessandra Ozakbas, Serkan Solaro, Claudio Cárdenas-Robledo, Simón Shaygannejad, Vahid Etemadifar, Masoud Boz, Cavit Eichau, Sara Tomassini, Valentina Terzi, Murat Prat, Alexandre Habek, Mario Blanco, Yolanda Altintas, Ayse Gerlach, Oliver Turkoglu, Recai Buzzard, Katherine Skibina, Olga Soysal, Aysun Walt, Anneke van der Hughes, Stella Pesch, Vincent van Foschi, Matteo Surcinelli, Andrea Prevost, Julie Ramo-Tello, Cristina McGuigan, Christopher Sa, Maria Jose Kuhle, Jens Spitaleri, Daniele Singhal, Bhim Ampapa, Radek Gans, Koen de Petersen, Thor Simu, Mihaela Lapointe, Emmanuelle Sanchez-Menoyo, Jose Gray, Orla Garber, Justin Aguera-Morales, Eduardo Gross-Paju, Katrin Castillo Triviño, Tamara Al-Asmi, Abdullah Grigoriadis, Nikolaos Inshasi, Jihad Al-Harbi, Talal Hardy, Todd A. Ramanathan, Sudarshini Cambron, Melissa Shuey, Neil Sempere, Perez A. Csépány Tünde (1956-) (neurológus, pszichiáter) Trevino-Frenk, Irene Rózsa Csilla Cauchi, Marija Karabudak, Rana Mrabet, Saloua Gouider, Riadh
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10.

001-es BibID:BIBFORM083268
Első szerző:Zhou, Yuan
Cím:Redefining the Multiple Sclerosis Severity Score (MSSS) : the effect of sex and onset phenotype / Yuan Zhou, Suzi B. Claflin, Jim Stankovich, Ingrid van der Mei, Steve Simpson, Richard H. Roxburgh, Tomas Kalincik, Leigh Blizzard, Alessandra Lugaresi, Raed Alroughani, Seyed Aidin Sajedi, Helmut Butzkueven, Eugenio Pucci, Daniele L. A. Spitaleri, Franco Granella, Edgardo Cristiano, Bassem Yamout, Stella Hughes, Riadh Gouider, José Luis Sánchez Menoyo, Javier Olascoaga, Chris McGuigan, Cameron Shaw, Allan G. Kermode, Krisztian Kasa, Talal Al-Harbi, Ayse Altintas, Guy Laureys, Yara Fragoso, Todd A. Hardy, Tunde Csepany, Carmen-Adella Sirbu, Danny Decoo, Attila Sas, Jose C. Alvarez-Cermeño, Karim Kotkata, Jorge Millán-Pascual, Bruce V. Taylor
Dátum:2020
ISSN:1352-4585
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Multiple Sclerosis. - 26 : 13 (2020), p. 1765-1774. -
További szerzők:Claflin, Suzi B. Stankovich, Jim Mei, Ingrid van der Simpson, Steve Roxburgh, Richard H. Kalincik, Tomas Blizzard, Leigh Lugaresi, Alessandra Alroughani, Raed Sajedi, Seyed Aidin Butzkueven, Helmut Pucci, Eugenio Spitaleri, Daniele L. A. Granella, Franco Cristiano, Edgardo Yamout, Bassem Hughes, Stella Gouider, Riadh Sánchez Menoyo, José Luis Olascoaga, Javier McGuigan, Christopher Shaw, Cameron Kermode, Allan G. Kása Krisztián Al-Harbi, Talal Altintas, Ayse Laureys, Guy Fragoso, Yara Hardy, Todd A. Csépány Tünde (1956-) (neurológus, pszichiáter) Sirbu, Carmen-Adella Decoo, Danny Sas Attila Alvarez-Cermeño, Jose C. Kotkata, Karim Millán-Pascual, Jorge Taylor, Bruce V.
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