MétaCan
Menu
Back to cohort
Record W2753347535 · doi:10.1097/nan.0000000000000240

High-Dose Subcutaneous Immunoglobulin in Patients With Multifocal Motor Neuropathy

2017· article· en· W2753347535 on OpenAlex

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

VenueJournal of Infusion Nursing · 2017
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsUniversity Health Network
FundersCSL Behring
KeywordsMultifocal motor neuropathyMedicineMismatch negativityWeaknessDosingPhysical therapyPhysical medicine and rehabilitationSurgeryInternal medicineElectroencephalography

Abstract

fetched live from OpenAlex

Multifocal motor neuropathy (MMN), an immune neuromuscular condition causing progressive weakness, usually responds to immune-mediated treatments, including intravenous immunoglobulin (IVIG). Fifteen patients with MMN receiving IVIG were enrolled in an open-label, single-center trial and switched to 20% subcutaneous immunoglobulin (SCIG) using a smooth transition protocol (ie, changing the therapy without interruption or impact on the intended outcome of the therapy). Patients received individualized training and support based on motivation and ability to learn, follow directions, and maintain compliance. Although some patients required assistance during the training phase, most managed self-infusion and reported satisfaction in managing therapy autonomously. Educating patients with neuropathies to self-infuse high-dose SCIG at home and with flexibility in dosing schedules was successfully demonstrated in this patient group.

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 score0.441
Threshold uncertainty score0.414

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 head0.008
GPT teacher head0.249
Teacher spread0.242 · 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