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Record W3115979101 · doi:10.3389/fneur.2020.598496

A Prospective Observational Registry of Repository Corticotropin Injection (Acthar® Gel) for the Treatment of Multiple Sclerosis Relapse

2020· article· en· W3115979101 on OpenAlexfundno aff
Jeffrey Kaplan, Tamara Miller, Matthew Baker, Bryan Due, Enxu Zhao

Bibliographic record

VenueFrontiers in Neurology · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersMallinckrodt Pharmaceuticals
KeywordsMedicineObservational studyMultiple sclerosisPhysical therapyDosingExpanded Disability Status ScaleDemographicsClinical endpointClinical trialInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background and Purpose: Effective relapse treatment is critical for minimizing disability in patients with multiple sclerosis (MS). Repository corticotropin injection (RCI; Acthar® Gel) has demonstrated efficacy for the treatment of MS exacerbations. However, there is limited real-world evidence available regarding the relationship between the use of RCI for MS relapses and patient demographics, disease characteristics, and dosing regimens. In this multicenter, prospective, observational registry, patients receiving RCI for acute MS relapse were characterized, and recovery and safety outcomes were described. Methods: Patients were invited by their treating clinician to participate in the registry during a routine care visit. The decision to initiate RCI occurred before determination of study eligibility. All treatment decisions were made at the discretion of the patient's health care provider and were not mandated by the study design or protocol. Each enrolled patient was followed for up to 24 Months or until the date of study termination. The primary endpoint was the change from baseline in MS Impact Scale Version 1 (MSIS-29v1) physical subscale scores at Month 2. Additional assessments included the MSIS-29v1 psychological subscale, Expanded Disability Status Scale (EDSS), Clinical Global Impression of Improvement (CGI-I), Work Productivity and Activity Impairment Questionnaire: MS (WPAI:MS), and Health Resource Utilization (HRU) questionnaire. Results: Of 145 patients enrolled, 82 (56.6%) completed 24 Months of follow-up. Mean MSIS-29v1 physical subscale scores improved at 2 Months (−8.0; P = 0.0002) and 6 Months (−9.6; P < 0.0001). Mean MSIS-29v1 psychological subscale scores also improved at 2 Months (−7.9; P = 0.0040) and 6 Months (−9.9; P = 0.0012). Mean EDSS scores improved at 2 Months (−0.4; P < 0.0001) and 6 Months (−0.5; P < 0.0001). CGI-I scores indicated improvement in 63.4% of 71 patients at 2 Months and 61.4% of 57 patients at 6 Months (both P < 0.0001). Improvements on the WPAI:MS activity impairment domain (P < 0.001) and reductions in outpatient, specialist, and emergency department visits were observed at 2 and 6 Months. A total of 35 (28.0%) patients reported 83 adverse events; 11 (8.8%) patients reported 16 serious adverse events. Conclusions: This observational study found significant improvements in MS assessment scores after RCI treatment and supports the efficacy and tolerability of RCI for MS relapse. Clinical Trial Registration: This trial is registered on ClinicalTrials.gov with the identifier NCT02633033.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.094
GPT teacher head0.291
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2020
Admission routes1
Has abstractyes

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