Bibliographic record
Abstract
PURPOSE OF REVIEW: This is an update of the main studies published in the last year regarding biomarkers, advances in pathophysiology, lupus nephritis as well as outcomes and therapies in childhood-onset systemic lupus erythematosus (cSLE). RECENT FINDINGS: Some progress in the pathophysiology of cSLE was made in the past year. Although biomarkers were studied in lupus nephritis and neuropsychiatric lupus, none of the proposed biomarkers was shown to be a significant improvement over current disease measures. More encouraging was the research into creating an easy, rapid screening tool for neurocognitive dysfunction in cSLE. Two studies in health-related quality of life (HRQL) recognized its importance in determining outcome and found that ethnicity and obesity might significantly alter HRQL in cSLE patients. There were no prospective clinical trials involving cSLE patients. SUMMARY: A better understanding of pathophysiology may elucidate novel molecules as therapeutic targets in cSLE. Advances in the field of biomarkers may enable a more accurate prediction of clinical outcome, optimizing early interventions and therefore improving disease prognostics.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 teacher head, 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".