Intra-articular calcifications in a child with juvenile rheumatoid arthritis
Bibliographic record
Abstract
Aims: To compare iron fortified follow-on milk (iron follow-on), iron fortified partially modified cows' milk (iron milk), and iron medicine for the treatment of iron deficiency anaemia (IDA) in hospitalised infants. Methods: In a randomised controlled trial, infants aged 9-23 months with IDA and who were hospitalised with an acute illness received iron follow-on (12 mg/l ferrous iron), iron milk (12.9 mg/l ferrous iron), or iron medicine (ferrous gluconate at 3 mg/kg of elemental iron once daily). All interventions were given for three months. Changes in measures of iron status three months after hospital discharge were determined. Results: A total of 234 infants were randomised. Iron status was measured at follow up in 59 (70%) iron medicine, 49 (66%) iron follow-on, and 54 (70%) iron milk treated infants. There was a significant (mean, 95% CI) increase in haemoglobin (15 g/l, 13 to 16) and iron saturation (9%, 8 to 10) and decrease in ferritin (253 mg/l, 274 to 231) in all three groups. Mean cell volume increased in iron follow-on (2 fl, 1 to 3) and iron milk (1 fl, 0.1 to 3) treated infants, but not in the iron medicine group (1 fl, 21 to 2). The proportion with IDA decreased in all three groups: iron medicine 93% to 7%, iron follow-on 83% to 8%, and iron milk 96% to 30%. Adverse effects, primarily gastrointestinal, occurred in 23% of the iron medicine, 14% of the iron follow-on, and 13% of the iron milk group. Conclusions: Iron fortified follow-on milk, iron fortified partially modified cows' milk, and iron medicine all effectively treat IDA in infancy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".