Autoimmune diseases associated with common variable immune deficiency
Bibliographic record
Abstract
Common variable immunodeficiency (CVID) is the most prevalent primary immune deficiency, affecting roughly 2-4/100 000 individuals in the general population. The etiology is currently unknown, even if several genetic mutations have been described, and no single clinical feature or single laboratory test can establish the diagnosis, which is based on multiple criteria. CVID is characterized by B- and T-cell dysfunction that predisposes to an increased risk of infections, with the typical involvement of the respiratory and gastrointestinal tracts. Besides this well-established complication, though the coexistence of immunodeficiency and autoimmunity appears paradoxical, two-thirds of CVID patients present concomitant autoimmune disorders. Of note, autoimmunity can often be the only clinical manifestation of CVID at the time of diagnosis. The most common autoimmune disorders associated with CVID are autoimmune cytopenias, that is, immune thrombocytopenic purpura and autoimmune hemolytic anemia, either as separate entities or as concurrently (Evans syndrome). CVID patients can also manifest rheumatologic diseases (eg, arthritis, Sjogren's disease, systemic lupus erythematosus, vasculitis, Behçet's syndrome) and gastrointestinal autoimmune disorders (eg, ulcerative colitis, autoimmune atrophic gastritis, celiac disease). This latter may pose a particular diagnostic challenge, as celiac-specific autoantibodies can be absent in CVID patients. Understanding the molecular basis and the clinical impact of autoimmunity in CVID patients might help manage CVID, thus reducing its diagnostic delay and preventing its complications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".