Treatment of <i>Plasmodium falciparum</i> malaria in the nonendemic setting: a narrative review of toxicity, failure, and emerging resistance
Bibliographic record
Abstract
Introduction For more than 15 years, artemisinin-based combination therapy (ACT) and atovaquone-proguanil have been recommended as treatment of Plasmodium falciparum malaria in most nonendemic countries. However, new challenges have emerged that complicate the management of travelers with malaria, including the occurrence of artemisinin-related hemolysis and the increasing numbers of treatment failure possibly related to drug resistance.Areas covered We reviewed the epidemiology, pattern and risk factors for artemisinin-related hemolysis and for treatment failure with ACT or atovaquone-proguanil among travelers with P. falciparum malaria diagnosed in nonendemic countries. We collected detailed information on clinical features, pharmacokinetic parameters or mutations conferring resistance observed in failing cases.Expert opinion Several factors (e.g. lack of prior immunity, older age, overweight, comorbidities, and comedication) distinguish travelers from people residing in malaria-endemic areas. Yet, current uniform treatment recommendations across settings do not address many considerations that predominantly affect nonimmune travelers with malaria. This population may also be more vulnerable to complications of malaria as reduced susceptibility to key antimalarials spreads. We propose specific adaptations to the management of malaria in travelers, with a focus on structured clinical follow-up to detect toxicity and failure, and on systematic genomic surveillance in concert with existing initiatives in endemic countries.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".