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Record W4391448546 · doi:10.25259/wjwch_1_2024

Deciphering unilateral congenital facial palsy in neonates: A case series and literature review

2024· article· en· W4391448546 on OpenAlexaff
Medha Goyal, R. R. Prashanth, Sonam Shah, Athar Abdul Mujeeb, Shweta Mhatre, Anitha Haribalakrishna

Bibliographic record

VenueWadia Journal of Women and Child Health · 2024
Typearticle
Languageen
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsMcMaster Children's Hospital
Fundersnot available
KeywordsMedicinePalsySeries (stratigraphy)PediatricsPhysical medicine and rehabilitationPathologyAlternative medicineGeology

Abstract

fetched live from OpenAlex

Unilateral facial palsy in neonatal period either occurs in isolation or in association of a syndrome. We report three neonates, two boys and one girl, who presented with unilateral facial palsy at birth. Clinical assessment was performed by a neonatologist, ear-nose-throat (ENT) surgeon, an ophthalmologist and a physiotherapist. Magnetic resonance imaging (MRI) of the brain in two neonates and additional computerized tomography (CT) of the temporal bone in one patient was done to exclude developmental anomalies of the facial nerve. Imaging revealed an underlying underdevelopment etiology with absence of cochlea in one neonate. These findings point towards the importance of imaging and systematic diagnostic work-up. This article describes a multidisciplinary approach toward unilateral, isolated congenital facial palsy along with a literature review. Role of physiotherapy, auditory rehabilitation, and other medical and surgical options have also been discussed.

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)0.002
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.324
Teacher spread0.311 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueWadia Journal of Women and Child HealthSame topicFacial Nerve Paralysis Treatment and ResearchFrench-language works237,207