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Record W4404232610 · doi:10.14740/jmc4336

Exploring Overlap Syndromes: An Atypical Case of Multiple Sclerosis With Anti-Sjogren’s Syndrome Type B Antibody

2024· article· en· W4404232610 on OpenAlexvenueno aff
Rebecca L Shakour, Oriana Tascione, Nathan Carberry, Ramon Flores-Gonzalez

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatologyMultiple sclerosisOverlap syndromeAntibodyImmunologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Evaluating patients with symptoms suggestive of demyelinating disease such as multiple sclerosis (MS) is common in both the inpatient and outpatient setting but may be difficult if atypical neurological symptoms are present. In this case, a 39-year-old female presented with new onset weakness and paresthesias. The patient reported 3 weeks of progressively worsening left face and hemibody numbness, along with gait abnormality. She was found to have absent lower extremity reflexes, unexpected imaging findings, and a positive anti-Sjogren's syndrome type B (SSB) antibody despite lacking the typical sicca symptoms associated with Sjogren's syndrome (SS). This case report underscores the diagnostic complexity of overlapping MS and SS, highlighting the need for a comprehensive differential diagnosis when atypical neurological symptoms are present. It also emphasizes the importance of considering autoimmune overlap syndromes in such cases, as the co-occurrence of these conditions can significantly impact both diagnosis and treatment strategies, requiring a multidisciplinary approach for optimal patient care.

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)0.004
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0040.002
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 head0.179
GPT teacher head0.343
Teacher spread0.164 · 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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