Efficacy and Safety of Praziquantel Against Light Infections of <i>Opisthorchis viverrini</i>: A Randomized Parallel Single-Blind Dose-Ranging Trial
Bibliographic record
Abstract
Background: The liver fluke Opisthorchis viverrini, highly prevalent in Southeast Asia, is an important public health burden, including a risk factor for developing an aggressive bile duct cancer, cholangiocarcinoma, in chronically infected patients. Praziquantel, administered at a single 40 mg/kg dose in preventive chemotherapy programs and 3 × 25 mg/kg for individual treatment, is the drug of choice, yet information on the nature of the dose-response relationship is lacking. Methods: We performed a randomized, parallel, single-blind dose-ranging phase 2 trial in the Lao People’s Democratic Republic in O. viverrini–infected adults. Patients were randomly assigned to 30 mg/kg, 40 mg/kg, 50 mg/kg, or 3 × 25 mg/kg praziquantel or placebo. Adverse events were recorded at baseline, 3 hours, and 24 hours posttreatment. Cure rates (CRs) and egg reduction rates (ERRs) were estimated 3 weeks after drug administration using available case analysis. Dose-response curves were predicted using Emax models. Results: Two-hundred seventeen O. viverrini–infected patients were assigned to the 5 treatment arms. The majority (94.3%) of patients harbored light infections. The Emax model predicted a high efficacy among the observed dose range. We observed CRs ranging from 92.7% to 95.5% and ERRs >99.5% for all praziquantel treatment groups. Adverse events were mild but higher in the standard treatment group (3 × 25 mg/kg) than in the single-dose treatment arms. Conclusions: Single-dose praziquantel appears to be as efficacious as the standard 3 × 25 mg/kg regimen for the treatment of O. viverrini infections, while presenting fewer adverse events. Further studies are necessary in moderate and heavy O. viverrini infections. Clinical Trials Registration: Randomized Controlled Trials (ISRCTN77186750).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".