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Record W4412166739 · doi:10.1017/cjn.2025.10202

P.018 24-year-old woman post-partum with subacute paresthesias and facial diplegia

2025· article· en· W4412166739 on OpenAlexvenueno aff
T Badra, JF Paul, T Langlois-Therien, Ann-Marie Richard

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsnot available
Fundersnot available
KeywordsPost partumMedicinePregnancy

Abstract

fetched live from OpenAlex

Background: Facial diplegia with paresthesias (FDP) is a rare Guillain-Barré Syndrome (GBS) variant, characterized by subacute onset of bilateral facial palsy with no other motor weakness, absent reflexes and distal paresthesias, that may be associated with anti-ganglioside autoantibodies. Methods: Patient chart, including medical notes, radiologic, electrophysiological and laboratory testing during the patient’s hospitalization in December 2024 were reviewed. Results: We report the case of a 24-year-old woman, who presented one-week post-partum with a history of tongue and progressive distal extremity paresthesias, headache and gait instability. During hospitalization patient progressively developed bilateral lower limbs areflexia and facial diplegia. Imaging was negative for a central cause but lumbar puncture and clinical examination guided the diagnosis of FDP. Patient responded to a course of intravenous immunoglobulins (IVIg) and was discharged home without any weakness. Conclusions: This case illustrates the rarer FDP presentation of GBS, which can be more frequent in the postpartum period, and explores the differential diagnosis of subacute facial diplegia.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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 designCase report
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques→Same topicTraumatic Brain Injury and Neurovascular Disturbances→French-language works237,207→