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Record W2972563116

Neurological sequelae of pediatric Plasmodium falciparum cerebral malaria in Sub-Saharan Africa: A brief overview

2019· article· en· W2972563116 on OpenAlexvenueno aff
Kelly A. A. Leslie

Bibliographic record

VenueUniversity of Toronto Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral MalariaMalariaMedicineComa (optics)PediatricsIntensive care medicinePlasmodium falciparumDiseaseEpilepsyPsychiatryImmunologyPathology
DOInot available

Abstract

fetched live from OpenAlex

Cerebral malaria, characterized by multiple seizures, coma, and other neurological abnormalities, is a particularly devastating complication of Plasmodium falciparum malaria. Children in sub-Saharan Africa comprise the most susceptible group to cerebral malaria worldwide, with more than 575,000 cases each year. Long-term neurological deficits – including motor impairments, language regression, cognitive deficits, behavioural abnormalities, and epilepsy – occur in approximately 25% of child survivors of cerebral malaria, which is now recognized as the leading cause of childhood neurodisability in sub- Saharan Africa. These neurological sequelae generate an enormous economic and social burden as child survivors’ impaired intellectual function and learning abilities have a substantial impact on their prospects for education and future employment. The aim of this article is to provide a brief overview of the current literature on the neurological sequelae of pediatric cerebral malaria, as well as offer suggestions for future research. While the current understanding of risk factors, disease mechanisms, and treatments for these neurological deficits is lacking, recent studies have shown great promise in revolutionizing the way that cerebral malaria is diagnosed and treated. It is speculated that an inflammatory response to malarial antigens in neural blood vessels triggers a cascade of events that ultimately results in cerebral tissue damage, high intracranial pressure, and hemorrhaging into the brain, resulting in long-term brain damage. Potential risk factors for neurological deficits include the duration of coma, the occurrence of multiple seizures, and high fever. Malaria retinopathy, angiopoietin-1 and -2, and EEG patterns are being investigated as potential biomarkers to improve the definitive diagnosis of cerebral malaria. New drug therapies that endeavor to prevent long-term neurological deficits after cerebral malaria include erythropoietin and statins, as well as cognitive rehabilitation and physical and speech therapy, the latter having been shown to be successful among survivors.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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.

Opus teacher head0.020
GPT teacher head0.245
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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