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Record W309626931 · doi:10.1155/2013/427910

Artemisinin Combination Therapy Can Result in Clinical Failure If Oral Therapy Is Not Directly Observed

2013· article· en· W309626931 on OpenAlexafffund
Wilson Chan, Divya Virmani, Dylan R. Pillai

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2013
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
FundersUniversity of Calgary
KeywordsArtemisininMedicineCombination therapyIntensive care medicinePharmacologyMalariaPlasmodium falciparumImmunology

Abstract

fetched live from OpenAlex

Intravenous artesunate therapy is the first-line therapy for severe malaria, and is highly efficacious when used in combination with an oral partner drug such as doxycycline or atovaquone-proguanil. However, treatment failure occurs routinely with artesunate monotherapy due to the very short half-life of this drug. In North America, experience with artesunate is limited. With the pressure to discharge patients early, administration of the essential oral partner drug is often left to the discretion of the patient. Thus, treatment failure may be commonplace if nonadherence is a factor, as was observed in the case described in the present report.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.023
GPT teacher head0.289
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2013
Admission routes2
Has abstractyes

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