Bibliographic record
Abstract
Henoch-Schönlein purpura (HSP) is the most common vasculitis among children, which its overall incidence rate is higher in boys than girls.This syndrome can affect skin, joints, gastrointestinal (GI) tract, kidney and, in rare cases CNS and scrotum.Genetic and environmental factors are considered to be possible triggers.HSP is typically self-limited, and most patients recover without therapy, however, severe intestinal bleeding or intussusception, intermittent hematuria, proteinuria and chronic kidney disease may occur in a small number of cases.In recent years, attempts have been made to identify genetic polymorphisms that may be associated with the development of HSP or with its severity.Many of these evaluated cytokines or cell adhesion molecules involved in the modulation of inflammatory pathways and endothelial cell activation.A few number of research work on a limited number of patients have been done and the results are varying among different ethnic groups.We review association studies on HSP to identify which genes or genetic polymorphisms significantly increase the risk of the disease.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.940 | 0.925 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".