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Understanding the complexity of miller fischer syndrome: a case report

2024· article· en· W4405939793 on OpenAlexaboutno aff
Parvathy Ramachandran Satheebai, Anil Kumar Asokan, Hari Krishnan Somasekaran, Sreedhanya Sreehari, Novin Chacko John, Arya R. Nair, Gowtham Kishore Chittathuparambil Gopalakrishnan, Aby C. Eapen

Bibliographic record

VenueInternational Journal of Research in Medical Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMillerCognitive scienceEcology

Abstract

fetched live from OpenAlex

Miller-Fisher syndrome is a rare neurological disorder characterized by a clinical trial of ophthalmoplegia, ataxia and areflexia. It is a variant of Gullian Barrie syndrome. A variety of other symptoms and signs beyond the triad has been reported. Here we report a case of a 58-year-old male patient with atypical presentation of Miller-Fisher syndrome. He had a history of upper respiratory tract infection 3 weeks prior. After hospital admission, he abruptly developed unsteadiness while walking, diplopia and dysphagia. Clinical evaluation along with antiganglioside antibody made the diagnosis of Miller-Fisher syndrome. After immunotherapy was initiated, the patient improved gradually and later discharged to home. To diagnose a case of Miller-Fisher syndrome, a high index of clinical suspicion and ruling out other aetiologies should be made. Timely effective intervention either plasmapheresis or IV Immunoglobulin can completely reverse the symptoms.

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)0.003
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.005
Open science0.0010.003
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.448
GPT teacher head0.506
Teacher spread0.058 · 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

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