MétaCan
Menu
Back to cohort
Record W2173983813 · doi:10.1007/s40120-015-0037-x

Consensus Management of Gastrointestinal Events Associated with Delayed-Release Dimethyl Fumarate: A Delphi Study

2015· article· en· W2173983813 on OpenAlex
J. Theodore Phillips, April Erwin, Stephanie Agrella, Marcelo Kremenchutzky, John F. Kramer, Malcolm J.M. Darkes, Jonathan Kendter, Heather Abourjaily, Jitesh Rana, Robert J. Fox

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeurology and Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsLondon Health Sciences CentreWestern University
FundersBiogen
KeywordsDimethyl fumarateMedicineAdverse effectTolerabilityMultiple sclerosisDelphi methodInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Delayed-release dimethyl fumarate (DMF, also known as gastro-resistant DMF) is indicated for the treatment of patients with relapsing multiple sclerosis. Gastrointestinal (GI) adverse events (AEs) occur with DMF therapy. METHODS: We used a Delphi process to reach consensus among North American clinicians on effective real-world management strategies for GI AEs associated with DMF. Clinicians were asked to complete two rounds of questionnaires developed by a steering committee; consensus in round 2 was attained if ≥70% of respondents agreed on a particular strategy. RESULTS: Consensus was reached on several strategies to manage GI AEs, including administering DMF with food, slow titration, dose reduction, and use of symptomatic therapies. CONCLUSION: These consensus strategies provide clinicians with information on real-world approaches used to address the tolerability of DMF in patients with multiple sclerosis. FUNDING: Biogen.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.075
GPT teacher head0.331
Teacher spread0.256 · 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