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Record W2943065586 · doi:10.1212/wnl.0000000000007572

Clinical trials of disease-modifying agents in pediatric MS

2019· article· en· W2943065586 on OpenAlexfundno aff
Emmanuelle Waubant, Brenda Banwell, Evangeline Wassmer, Maria Pia Sormani, Maria Pia Amato, Rogier Hintzen, Lauren Krupp, Kevin Rostásy, Sílvia Tenembaum, Tanuja Chitnis, Gregory Aaen, Elhachmia Ait Ben Adou, Raed Alroughani, Veronica Gonzalez Alvarez, Maria Anagnostouli, Banu Anlar, Thaís Armangué, Georgina Arrambide, Damiano Baroncini, R Ts Bembeeva, Leslie Benson, Neli Bizjak, Astrid Blaschek, Alexey Boyко, J. Nicholas Brenton, Wolfgang Brück, Bruna Klein da Costa, Dominique Dive, Christiane Elpers, Massimo Filippi, Manuela de Oliveira Fragomeni, Eva Havrdová, Cheryl Hemingway, Barbara Kornek, Kumaran Deiva, Adrian R. Lacy, Zuzana Libá, Ming Lim, Tim Lotze, Jean K. Mah, Naila Makhani, Soe Mar, Kyla A. McKay, Shay Menascu, Lucia Moiola, Patricia Mulero, Moustapha Ndiaye, Rinze F. Neuteboom, Jayne Ness, Enedina Maria Lobato de Oliveira, Scott Otallah, Francesco Patti, José Albino da Paz, Carlos A. Pérez, Daniela Pohl, Anne‐Louise Ponsonby, Mary Rensel, Maria A. Rocca, Nick Rijke, Moses Rodriguez, Ian Rossman, Hiroshi Sakuma, Teri Schreiner, Ángeles Schteinschnaider, E. Morghen Sikes, Isabella Laura Simone, Michael Sweeney, Jan Mendelt Tillema, Regina M. Troxell, Hélène Verhelst, Leidi Vilchez, Liesbeth De Waele, Bianca Weinstock‐Guttman, Colin Wilbur, Mikaeloff Yann, E. Ann Yeh, Dimitrios Zafeiriou

Bibliographic record

VenueNeurology · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeYork University
KeywordsMedicineClinical trialIntensive care medicineMultiple sclerosisDiseasePopulationMEDLINEPediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The impetus for this consensus discussion was to recommend clinical trial designs that can deliver high-quality data for effective therapies for pediatric patients, in a reasonable timeframe, with a key focus on short- and long-term safety. METHODS: The International Pediatric Multiple Sclerosis Study Group convened a meeting of experts to review the advances in the understanding of pediatric-onset multiple sclerosis (MS) and the advent of clinical trials for this population. RESULTS: In the last few years, convincing evidence has emerged that the biological processes involved in MS are largely shared across the age span. As such, treatments proven efficacious for the care of adults with MS have a biological rationale for use in pediatric MS given the relapsing-remitting course at onset and high relapse frequency. There are also ethical considerations on conducting clinical trials in this age group including the use of placebo owing to highly active disease. It is imperative to reconsider study design and implementation based on what information is needed. Are studies needed for efficacy or should safety be the primary goal? Further, there have been major recruitment challenges in recently completed and ongoing pediatric MS trials. Phase 3 trials for every newly approved therapy for adult MS in the pediatric MS population are simply not feasible. CONCLUSIONS: A primary goal is to ensure high-quality evidence-based treatment for children and adolescents with MS, which will improve our understanding of the safety of these agents and remove regulatory or insurance-based limitations in access to treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.310
GPT teacher head0.494
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations76
Published2019
Admission routes1
Has abstractyes

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