Bibliographic record
Abstract
Wegener's granulomatosis is one of the anti-cytoplasmic autoantibodies (ANCA)-associated vasculitides. Although it typically affects the lungs and kidneys, the head and neck are also involved in most cases but the site usually affected is the upper airway. However, there are 35 cases with well-documented clinicopathological data in which Wegener's granulomatosis manifested in the major salivary glands, most commonly the parotid. Twenty-four patients presented with salivary signs and symptoms, in eight of whom there was no other presenting manifestation. These signs and symptoms may mimic infection or neoplasia and laboratory investigations, including ANCA serology and histopathology, may be non-specific; thus, in 21 of the 35 patients (60%) there was a delay in diagnosis. Amongst the 21 were 11 of the 14 (78.6%) patients who presented with unilateral parotid disease and three of the five who died. Three other patients suffered permanent pulmonary, two renal and five facial nerve damage. This article reviews the literature on major salivary gland involvement in Wegener's granulomatosis, which should be considered in the differential diagnosis of major salivary gland disease particularly if commoner causes have been excluded. A detailed medical history, and persistently inconclusive laboratory tests, could provide the clues that enable prompt diagnosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".