Epidemiological, clinical and etiological treatment aspects in the Chagas clinic of the municipality of Comapa - Jutiapa, Guatemala
Bibliographic record
Abstract
Chagas disease (CD) is a major public health problem in Guatemala, where an estimated 166,000 people are infected with Trypanosoma cruzi and 1.4 million are at risk of infection. The municipality of Comapa (department of Jutiapa) is in a "hot spot" for CD control in Central America. To improve access to CD healthcare, the Departmental Directorate of Integrated Health Services Networks of Jutiapa, with support from the Drugs for Neglected Diseases initiative Latin America, set up a Chagas clinic in Comapa; This study describes epidemiological and clinical aspects of the population attended in the clinic. Using a descriptive observational study design, based on the review of a database with 590 care records between 2019 and 2024. The mean age was 44.1 years; 61.9 % were women and 7.1 % were pregnant women. 32 % exhibited the cardiac form of chronic CD. Trypanocidal treatment was started in 77.5 %, and of these, 7.6 % did not complete the prescribed regimen. All patients were treated with nifurtimox. 71.5 % of those treated reported adverse reactions (ADR). The most frequent ADRs were neuropsychiatric (67.6 %), followed by digestive (47.1 %); in 59 % of cases, between two and four ADRs occurred simultaneously. This characterization is one of the few descriptions of the Guatemalan population with T. cruzi infection/ CD. In general, the clinical data are similar to those reported in other publications. The Comapa Chagas Clinic provides a new model which can facilitate access at the primary health care level for people with CD.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".