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Record W2009247335 · doi:10.1136/ebm.6.4.118

Malaria prophylaxis with atovaquone-proguanil caused fewer gastrointestinal adverse events than chloroquine-proguanil

2001· article· en· W2009247335 on OpenAlexaboutno aff
Paul Garner

Bibliographic record

VenueEvidence-Based Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsProguanilMalariaAtovaquoneMedicineMalaria prophylaxisChloroquineInternal medicineAdverse effectPlasmodium falciparumImmunology

Abstract

fetched live from OpenAlex

(2000) Lancet 356, 1888. Høgh B, Clarke PD, Camus D, et al, and the Malarone International Study Team. . Atovaquone-proguanil versus chloroquine-proguanil for malaria prophylaxis in non-immune travellers: a randomised, double-blind study. . Dec 2; . : . –94 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In travellers who are not immune to malaria, is malaria prophylaxis with atovaquone proguanil equivalent to that with chloroquine proguanil for adverse events (AEs)? Randomised (allocation concealed*), blinded (clinicians and patients),* placebo controlled trial with follow up at 7, 28, and 60 days after leaving a malaria endemic area. 21 travel clinics in Denmark, the UK, France, Germany, the Netherlands, South Africa, and Canada. 1083 participants (mean age 36 y, 52% men, 96% white) who weighed >50 kg, were age ≥14 years, were in good health, and planned to travel ≤28 days in Africa (63%) or other Plasmodium falciparum endemic areas. Exclusion criteria included a history of seizures; psychiatric or neurological disorders; cardiac, … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DH%25C3%25B8gh%26rft.auinit1%253DB.%26rft.volume%253D356%26rft.issue%253D9245%26rft.spage%253D1888%26rft.epage%253D1894%26rft.atitle%253DAtovaquone-proguanil%2Bversus%2Bchloroquine-proguanil%2Bfor%2Bmalaria%2Bprophylaxis%2Bin%2Bnon-immune%2Btravellers%253A%2Ba%2Brandomised%252C%2Bdouble-blind%2Bstudy.%2BMalarone%2BInternational%2BStudy%2BTeam.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252800%252903260-8%26rft_id%253Dinfo%253Apmid%252F11130385%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0140-6736(00)03260-8&link_type=DOI [3]: /lookup/external-ref?access_num=11130385&link_type=MED&atom=%2Febmed%2F6%2F4%2F118.atom [4]: /lookup/external-ref?access_num=000165665400012&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Randomized triallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.042
GPT teacher head0.298
Teacher spread0.256 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designRandomized trial · Not applicable
Domainnot available
GenreEmpirical · Commentary

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

Citations0
Published2001
Admission routes1
Has abstractyes

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