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Record W4413269610 · doi:10.1080/23772484.2025.2540451

Reversible sensorineural hearing loss in a late presentation of acute disseminated encephalomyelitis: A case report

2025· article· en· W4413269610 on OpenAlexaff
Laith Haddad, Simone Khalifeh, Nadia Koleilat, Mona Hnaini

Bibliographic record

VenueActa Oto-Laryngologica Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMoncton Hospital
Fundersnot available
KeywordsAcute disseminated encephalomyelitisSensorineural hearing lossPresentation (obstetrics)MedicineAudiologyHearing lossMultiple sclerosisImmunologySurgery

Abstract

fetched live from OpenAlex

Acute disseminated encephalomyelitis (ADEM) is a demyelinating disease of the central nervous system. It presents with a variety of symptoms including fever and encephalopathy. Hearing loss is a rare symptom. We present a 10-year-old girl who exhibited late-onset isolated hearing loss following an episode of ADEM that had not been treated. Initially, she displayed classical symptoms, but her hearing loss became the predominant concern weeks later, so intravenous corticosteroids were given. Remarkably, this treatment resulted in a significant partial reversal of her hearing ability. This highlights the potential for hearing loss as a late complication of ADEM. The improvement following corticosteroid therapy suggests that inflammation may play a critical role in the pathophysiology of auditory dysfunction. Our review of literature indicates a limited number of similar reports, underscoring the rarity and clinical significance of this symptom. This case adds valuable insight into the spectrum of ADEM and its atypical presentations.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.348
Teacher spread0.313 · 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

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Same venueActa Oto-Laryngologica Case ReportsSame topicMultiple Sclerosis Research StudiesFrench-language works237,207