Neurocognitive Profile and Associated Factors Among Children Affected by Sickle Cell Disease in Kinshasa, Democratic Republic of Congo: A Cross-Sectional Study
Bibliographic record
Abstract
Background/Objectives: Understanding the neurocognitive profile of children with sickle cell disease in the Democratic Republic of Congo is essential, as this condition can significantly affect their development. Our study aims to assess these children’s neurocognitive and developmental profiles and identify related factors. Methods: We conducted a descriptive cross-sectional study involving 287 children, aged 0 to 68 months, using the Mullen Scales of Early Learning and the Gensini Gavito Scale. We also screened for maternal depression using the Hopkins Symptoms Checklist-10. Results: More than half of the participants were boys, with an average age of 4 years. Remarkably, 95.8% (score T < x¯ +2 SD) of children scored below average on the Mullen Scales. Significant associations were found between early neurocognitive development and factors like maternal depression, socioeconomic status, maternal education, age of weaning, and responses to the Ten-Questions Questionnaire (p < 0.005). Conclusion, children with sickle cell disease show below-average cognitive development, with maternal depression being a critical factor. Longitudinal studies are vital to understanding the long-term cognitive effects of sickle cell disease, particularly in the Democratic Republic of Congo, where targeted support is urgently needed.
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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 | 0.001 |
| 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".