Common Variable Immunodeficiency Presenting with Hodgkin’s Disease.
Bibliographic record
Abstract
Abstract We report a case of a 32 year old man with classic Common Variable Immunodeficiency Disease (CVID) and Hodgkin’s disease. Repeated immunoglobulin studies as a child showed hypogammaglobulinemia and decreased mitogen responses, with the suggestion of CVID. He presented to the oncology clinic with nearly three decades of recurrent reactive lymphadenopathy and multiple lymph node biopsies throughout his lifetime, recurrent pulmonary infections, and multiple autoimmune manifestations including diabetes mellitus onset at age 4, autoimmune hemolytic anemia and autoimmune thrombocytopenia. He developed Hodgkin’s disease at the age of 30, which has not previously been described in CVID. We also report two other cases of CVID with the diagnosis of non-Hodgkin’s lymphoma in the same oncology practice. CVID is a relatively common and yet rarely identified syndrome. Specific treatment is recommended. We suggest that oncologists should be aware of this unusual and yet relatively common disorder that carries up to 400 times the risk for the development of lymphoma (Cunningham-Rundles, C, et al. J Clin Immunol1987; 7:294–299).
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".