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Record W3006368603 · doi:10.1159/000505320

Dose Adjustment of Subcutaneous IgG in Chronic Inflammatory Demyelinating Polyneuropathy

2020· article· en· W3006368603 on OpenAlex
Alanood Alsolaihim, Steven K. Baker

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

VenueCase Reports in Neurology · 2020
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsMedicinePolyradiculoneuropathyChronic inflammatory demyelinating polyneuropathyNerve conductionMultifocal motor neuropathyPhysical medicine and rehabilitationAnesthesiaInternal medicineSurgeryImmunologyGuillain-Barre syndromeAntibody

Abstract

fetched live from OpenAlex

Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated neuropathy that is characterized by a slowly progressive sensory and motor involvement lasting at least 2 months. We present a CIDP patient on subcutaneous Ig (SCIg). Upon fine-tuning his dose from 24 to 28 g/week, this showed a dramatic improvement in both hand grip (13-25%) and dorsiflexion (73-278%). Follow-up nerve conduction studies also demonstrated significant improvements in latencies, motor amplitudes, and conduction velocities. Ongoing surveillance of CIDP patients receiving SCIg therapy is therefore necessary to ensure therapeutic optimization.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.015
GPT teacher head0.257
Teacher spread0.241 · 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