The Burden of Inpatient Neurologic Disease in a Tropical African Hospital
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
BACKGROUND: Neurologic disorders represent a major burden of disease globally and the spectrum ranges from noncommunicable disorders like stroke and neurodegenerative disorders to central nervous system infections. OBJECTIVE: The purpose of the study is to assess the burden of neurological diseases in a tropical environment. METHODS: A one year retrospective survey of neurological diseases seen at the University of Calabar Teaching Hospital, Nigeria, was evaluated using patients' medical record. RESULTS: Neurological diseases constituted 24.2% of all medical conditions seen over a one year period. Stroke was found to be the commonest cause of admissions accounting for 42.1% of the cases followed by peripheral neuropathy (13.8%) and meningoencephalitis (7.2%). The immediate case fatality rate was 33.6%. Fifty two percent were discharged home with various levels of recovery while 12.5% left against medical advice. About 2% were referred to other tertiary health institutions. CONCLUSION: The pattern of neurologic diseases in the local medical wards was not remarkably different from those observed in Nigeria and elsewhere. Stroke remains the most frequent cause of neurologic admissions and mortality in this region is same as observed elsewhere.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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