Bibliographic record
Abstract
As one of the neglected tropical diseases, leishmaniasis is defined as a parasitic communicable disease that is most prevalent in tropical and subtropical regions, affecting especially populations living in poverty. It has a profound negative impact on developing economies. It represents a group of heterogeneous syndromes with a wide spectrum of severity ranging from self-resolving cutaneous injuries to disseminated visceral compromise. Visceral leishmaniasis represents its most severe form, can affect almost all organs, and can have fatal consequences, especially in immunosuppressed patients. Cardiac involvement seems to be rare but has not been deeply studied. Consequently, there are no clear recommendations for the screening of cardiac manifestations in these patients. However, cardiovascular complications could be potentially lethal. In addition, there are valuable reports on the potential cardiotoxicity caused by drugs used in the treatment of this condition, so knowledge of its side effects could have important implications. This article is a part of the "Neglected Tropical Diseases and other Infectious Diseases affecting the Heart" project (the NET-Heart Project); its purpose is to review all the information available regarding cardiac implications of this disease and its treatment and to add knowledge to this field of study, focusing on the barriers for diagnosis and treatment, and how to adopt strategies to overcome them.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".