Report of the National Immunoglobulin Replacement Expert Committee: algorithm for diagnosis of immunodeficiency requiring antibody replacement therapy
Why this work is in the frame
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Bibliographic record
Abstract
Immunoglobulin replacement therapy is a mainstay in the treatment of immune deficiencies characterized by antibody failure. Whether the cause is primary or secondary, affected patients frequently present with a history recurrent and complicated infections of the upper and (or) lower respiratory tract. Such replacement therapy has been available since the 1980s, although treatment modalities have since been refined to provide improved protection against infections resulting in reduced morbidity and mortality. Here, we describe an algorithm for diagnosing patients with suspected primary or secondary immunodeficiency, including assessment of clinical, laboratory, and genetic information, when considering initiating immunoglobulin replacement. The increasing availability of molecular genetic techniques will likely result in decreased diagnostic delay for these patients. Statement of novelty: We describe here an algorithm for diagnosing patients with immunodeficiency requiring immunoglobulin replacement therapy.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it