An International Consensus Survey of Diagnostic Criteria for Macrophage Activation Syndrome in Systemic Juvenile Idiopathic Arthritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To identify candidate diagnostic criteria for macrophage activation syndrome (MAS) complicating systemic juvenile idiopathic arthritis (sJIA) using international consensus formation through a Delphi questionnaire survey. METHODS: A questionnaire listing 28 clinical, laboratory, and histopathologic features of MAS elicited by literature review was sent to 505 pediatric rheumatologists worldwide. Respondents were asked to select the 10 features that they felt were most important and useful in the diagnosis of MAS, and to order the 10 selected features by assigning the number 10 to the most important, and ending with 1 as the least important. RESULTS: The response rate was 46% (232 physicians from 47 countries). The items selected by more than 50% of respondents were, in order of frequency, falling platelet count, hyperferritinemia, evidence of macrophage hemophagocytosis in the bone marrow, increased liver enzymes, falling leukocyte count, persistent continuous fever ≥ 38°C, falling erythrocyte sedimentation rate, hypofibrinogenemia, and hypertriglyceridemia. CONCLUSION: Our process led to identification of features that were felt to be most important as candidate diagnostic criteria for MAS by a large sample of international pediatric rheumatologists.
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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