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Record W2975995412 · doi:10.1007/s40120-019-00156-5

Treatment Effectiveness for Resolution of Multiple Sclerosis Relapse in a US Health Plan Population

2019· article· en· W2975995412 on OpenAlexfundno aff
Tara Nazareth, Manasi Datar, Tzy‐Chyi Yu

Bibliographic record

VenueNeurology and Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersMallinckrodt Pharmaceuticals
KeywordsMedicineMultiple sclerosisDosingPopulationMethylprednisoloneMedical prescriptionPediatricsRelapse preventionInternal medicineFingolimodNeurologyPsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Gel), plasmapheresis (PMP), and intravenous immunoglobulin (IVIG). Contemporary insight into the use of relapse treatments and their effectiveness is needed. OBJECTIVE: To evaluate relapse rates, frequency of treatments used, and treatment effectiveness (i.e., relapse resolution). METHODS: A retrospective analysis of patients ages 18-89 years experiencing MS relapse from 1 January 2008 to 30 June 2015 was conducted using administrative claims data. MS relapse was defined based on established claims-based methodology. The first claim for relapse treatment (i.e., prescription or administration) was used to designate the treatment group and relapse date, respectively. Relapses occurring ≤ 30 days were considered an episode. The first relapse episode was identified for every patient. Treatment was deemed effective in resolving the relapse if no additional relapses followed within the episode; otherwise, the relapse was considered unresolved. A 5-day OCS taper following IVMP administration, designated IVMP ± OCS, was allowed. Relapse frequency, treatment use, and relapse resolution were quantified. Relapse resolution was likewise evaluated in patients continuously enrolled for 12 months before and after first treatment with RCI or PMP/IVIG, with PMP/IVIG administrations within 7 days of each other being considered a single course of therapy. RESULTS: During the study period, 9574 patients experienced ≥ 1 relapse; 26.0% of patients had ≥ 2 relapses/year. The mean number of relapse episodes was 2.6 over a mean follow-up of 2.7 years for an annualized relapse rate of 1.0. Corticosteroids were the first treatment used in 90.4% of relapses (OCS = 51.8%, IVMP = 38.6%), followed by IVIG (6.0%), RCI (2.2%) and PMP (1.5%). The proportion of patients achieving relapse resolution with their first treatment was 90.5% with OCS (n = 5710), 47.8% with IVMP ± OCS (n = 3425), 96.9% with RCI (n = 195), 50.7% with PMP (n = 73), and 43.9% with IVIG (n = 171). Among continuously enrolled patients (n = 373), relapse resolution was 95.7% with RCI (n = 232) and 66.0% with PMP/IVIG (n = 141); significant cohort differences were observed. CONCLUSIONS: As demonstrated in other studies, OCS were generally effective. However, real-world effectiveness varied with other treatments. Relapse resolution of the first treatment with OCS was higher than with IVMP ± OCS; similarly, relapse resolution was higher with RCI as the first treatment than with PMP/IVIG. Results demonstrate RCI's effectiveness in appropriate patients. Limitations pertaining to claims-based research apply. FUNDING: Mallinckrodt Pharmaceuticals (Bedminster, NJ).

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)0.003
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.086
GPT teacher head0.336
Teacher spread0.250 · 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".

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Citations23
Published2019
Admission routes1
Has abstractyes

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