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Record W4385612004 · doi:10.7759/cureus.43033

Paediatric Sjögren's Syndrome With Bilateral Parotid Cysts: A Case Report

2023· article· en· W4385612004 on OpenAlexaff
Jamila Skinner, James Fowler, Jonathan Park, Peng You

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineXerophthalmiaSialographyParotid glandBiopsyParotitisDifferential diagnosisSalivary glandPathologyDermatologySurgeryInternal medicineVitamin A deficiencyVitamin

Abstract

fetched live from OpenAlex

Sjögren's syndrome is an autoimmune disease characterized by the destruction of exocrine glands. Clinically, this results in the loss of tear and saliva production. Although xerophthalmia and xerostomia, also known as sicca, is a common presentation among adults, paediatric patients more often present with recurrent parotitis and glandular enlargement. Overall, symptoms can vary, making initial diagnosis challenging. Approximately 80% of patients with Sjögren's syndrome experience parotid gland enlargement, however, salivary cysts are rare. Herein, we present a case of paediatric Sjögren's syndrome where a 12-year-old female presented with a two-month history of bilateral parotid masses. The patient denied any history of xerostomia, xerophthalmia, or constitutional symptoms. Imaging revealed bilateral complex cystic intraparotid masses. A right parotid gland biopsy was performed showing parotid gland parenchyma with dense lymphoplasmacytic infiltrate. Ultimately, the presumptive diagnosis of Sjögren's syndrome was made. This case illustrates the importance of a thorough workup to aid in diagnostic certainty. Parotid cysts associated with Sjögren's are rare but should be considered within the differential diagnosis for paediatric patients with parotid swelling/mass.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.167
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.261
Teacher spread0.243 · 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 teacher head, 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

Citations2
Published2023
Admission routes1
Has abstractyes

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