Bibliographic record
Abstract
PURPOSE OF REVIEW: Sarcoidosis is a chronic granulomatous disorder involving multiple systems and organs of undefined etiology. Although most of the morbidity relies upon lung disease, the function of several systems and organs can be affected. The natural history of lung disease consists of pulmonary involvement. An exaggerated and abnormal inflammatory response accompanies this aspect. There are noncaseating confluent epithelioid granulomas and, potentially, a progressive airway obstruction ab externo. As the disease is multisystemic, there is an increased likelihood of complications that may be serious and even fatal. RECENT FINDINGS: The American Thoracic Society (ATS) Core Curriculum updates clinicians annually in adult and pediatric lung disease, critical medical care, and sleep medicine. In late 2020, the ATS targeted sarcoidosis. Also, in 2019, the French Sarcoidosis Group thoroughly revised the literature on pediatric sarcoidosis. Currently, staging is based on chest radiograph findings, and the most commonly used system is the Scadding classification, which has been applied to both children and adults alike. Treatment may consist of oral or pulsed intravenous corticosteroids, but it should be implemented in union with a rheumatologist, as there are no randomized controlled studies in children. SUMMARY: Sarcoidosis is rare in childhood. Diagnosis is complex and relies on multiple diagnostic modalities with both staging and therapy progressively mirroring the sarcoidosis, which affects adults. In the majority of patients, spontaneous resolution will occur and observation is justified above treatment. Nevertheless, in case treatment is needed corticosteroids remain the mainstay of the treatment in some pediatric patients. Relapses are not uncommon and a long-term follow-up is essential.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".