Review of hereditary angioedema
Bibliographic record
Abstract
Hereditary angioedema (HAE) is a rare disease caused by deficiency of C1 esterase inhibitor (C1-INH). It is an autosomal dominant disease caused by a variety of mutations in the C1-INH gene. C1-INH is an important regulator of several pathways. One pathway it affects is the kallikrein–kinin pathway, which results in the generation of bradykinin. Bradykinin is an important mediator of edema. Diagnosis is based on low levels of C1-INH. HAE with normal C1-INH is also recognized in the literature and the pathophysiology is due to another aspect of the pathway being affected leading to increased bradykinin level. Bradykinin results in intermittent swelling of the cutaneous and mucosal surfaces. The swelling usually evolves over several hours and lasts a few days. Location of the swelling can involve any part of the body including fatal laryngeal edema. Newer treatments exist to treat acute attacks and reduce the frequency of future attacks. Earlier diagnosis and treatment of hereditary angioedema can prevent HAE-associated mortality.
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 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 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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".