Neuropsychiatric Impairment among Patients with Sickle Cell Anemia
Bibliographic record
Abstract
Sickle cell anemia (SCA) is an inherited disorder of hemoglobin. Each year over 150,000 children in Africa are born with SCA. Cognitive impairment is a common complication of SCA. This case-control study evaluated cognitive function in 41 adolescents and adults with SCA and an equal number of healthy demographically matched controls using the community screening interview for dementia (CSID), Trail Making Test A (TMTA), Saint Louis University Mental Status examination (SLUMS), and Mini Mental State Examination (MMSE). Mood (anxiety and depression) was assessed using the Hospital Anxiety and Depression Scale (HADS). The controls had better total scores on all screening instruments; however, the difference between their performance and that of the SCA adults was not statistically significant; SLUM (p = 0.179), TMTA (p = 0.359), MMSE (p = 0.241), and CSID (0.494). On specific task, the controls performed significantly better based on SLUM (naming), p = 0.016; SLUM (repetition), p = 0.015; SLUM (recall), p = 0.003; and CSID (language expression), p = 0.001. The systolic blood pressure (SPB) was inversely correlated with the MMSE scores (p = 0.009). In addition, there was direct linear correlation between the creatinine levels and the MMSE scores (p = 0.009). The proportion of SCA patients compared with the controls that had abnormal mood were anxiety (7.3% vs. 4.9%), borderline anxiety (17.1% vs. 4.9%), depression (2.4% vs. 2.4%), and borderline depression (14.6% vs. 2.4%). SCA was associated with an increased prevalence of cognitive impairment in adults when compared to controls. SCA is associated with a higher proportion of mood abnormalities.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".