Hydroxycarbamide treatment in children with Sickle Cell Anaemia is associated with more intact white matter integrity: a quantitative MRI study
Bibliographic record
Abstract
Sickle cell anaemia (SCA) is a devastating genetic blood disorder leading to chronic anaemia, impaired cerebrovascular dilatory capacity and cerebral infarctions. Our aim was to assess the relationship between microstructural properties of the white matter (WM) and both cerebrovascular reactivity (CVR) and cerebral blood flow, as well as the effects of hydroxycarbamide on these relationships. Our results demonstrate that mean CVR was increased in hydroxycarbamide-treated patients compared to untreated patients. Moreover, untreated SCA patients had increased skew and kurtosis of mean diffusivity histograms in the WM compared to hydroxycarbamide-treated patients and healthy age-matched controls, indicating disruption of WM integrity. Regression analysis of CVR and WM mean diffusivity (MD) revealed a significant linear relationship between CVR and MD histogram skew and kurtosis in healthy controls, but not in either of the two SCA groups. These findings suggest that patients treated with hydroxycarbamide possess white matter MD histogram parameters which more closely resemble those of healthy controls.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".