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IVIG and PLEX in the treatment of myasthenia gravis

2012· article· en· W1788885219 on OpenAlexaff
Vera Bril, Carolina Barnett, David Barth, Hans Katzberg

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2012
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMyasthenia gravisMedicineTolerabilityInternal medicineDiseaseRandomized controlled trialRituximabSeverity of illnessAntibodyGastroenterologyImmunologyAdverse effect

Abstract

fetched live from OpenAlex

Intravenous immunoglobulin (IVIG) and plasma exchange (PLEX) are used to treat myasthenia gravis (MG) but with little trial evidence. While a class I study provided evidence for the efficacy of IVIG treatment, the empirical support for PLEX has been less convincing until recently. In a randomized controlled single-masked study of 84 MG patients with moderate to severe disease, IVIG and PLEX had comparable efficacy as demonstrated by reduction in the Quantitative Myasthenia Gravis Score (QMGS) for disease severity, percentage of responders, persistence of treatment effect, and tolerability, which were similar in both treatment arms. The change in QMGS was accompanied by improved disease-specific quality of life. The only factor predicting response to treatment was baseline severity. FcR polymorphisms did not predict response to IVIG therapy, but an inhibitory polymorphism was associated with baseline disease severity. These studies support the choice of either IVIG or PLEX as comparable treatments in adult patients with moderate to severe MG.

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)0.001
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 score0.150
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.135
GPT teacher head0.371
Teacher spread0.236 · 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.

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

Citations29
Published2012
Admission routes1
Has abstractyes

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