Human African trypanosomiasis & heart
Bibliographic record
Abstract
INTRODUCTION: Human African Trypanosomiasis is a neglected tropical disease resulting from the infection with the parasite Trypanosoma brucei. Neurological compromise often dominates, and the impact of cardiovascular involvement has not been fully investigated. Recently, publications indicate that cardiovascular compromise is more frequent than previously thought. Early detection of cardiac complications may be of utmost importance for healthcare teams. AREA COVERED: As a part of the 'Neglected Tropical Diseases and other Infectious Diseases involving the Heart' (the NET-Heart Project), the purpose of this article is to review all the information available regarding cardiovascular implications of this disease, focusing on diagnosis and treatment, and proposing strategies for early detection of cardiac manifestations. An electronic systematic literature review of articles published in MEDLINE, PubMed and EMBASE was performed. From 50 initial studies, 18 were selected according to inclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement was used for conducting and reporting this review. EXPERT OPINION: Cardiovascular compromise through infiltrative and inflammatory mechanisms seems to be frequent, and includes a wide spectrum of severity. Conventional 12-lead electrocardiogram could be a useful test for screening cardiovascular manifestations and used as a guide for considering specific treatments or more sophisticated diagnostic tools.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.012 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".