Evidence map›Paper›PMID 24019436›Full record

ArticleThe American journal of tropical medicine and hygiene2013

Trends in antimalarial drug use in Africa.

Jennifer A Flegg, Charlotte J E Metcalf, Myriam Gharbi, Meera Venkatesan, Tanya Shewchuk, Carol Hopkins Sibley, Philippe J Guerin

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolutionary Trajectory ofBiomedicines · 2025
    Review
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  6. Review
  7. Article
  8. Article
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  11. Genomics reveals heterogeneousmedRxiv : the preprint server for health sciences · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mapping partner drug resistance to guide antimalarial combination therapy policies in sub-Saharan Africa.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jennifer A Flegg
Charlotte J E Metcalf
Myriam Gharbi
Meera Venkatesan
Tanya Shewchuk
Carol Hopkins Sibley
Philippe J Guerin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to chloroquine (CQ) and sulphadoxine-pyrimethamine (SP) led the World Health Organization (WHO) to recommend changes in national drug policies. The time between policy changes and their implementation profoundly affects program impact. We developed a model based on data on antimalarial treatments, extracted from household surveys and national antimalarial policy information from the literature. Drug use in each country during the time period 1999-2011 and the trend in reduction of CQ use after policy change were estimated. The SP use estimates were correlated with the prevalence of a molecular marker associated with SP resistance. There was no spatial pattern in the country-level rate of reduction of CQ use, after policy change. In East Africa SP drug use was strongly correlated to resistance. If artemisinin resistance spreads to, or emerges in, Africa this methodology will be a valuable tool to estimate actual drug use and its impact on changes in drug efficacy.

Indexed as

AfricaAntimalarialsArtemisininsChloroquineDrug CombinationsDrug ResistanceHealth SurveysHumansMalaria, FalciparumModels, StatisticalPlasmodium falciparumPyrimethamineSulfadoxineTime FactorsAntimalarialsartemisininArtemisininsChloroquineDrug Combinationsfanasil, pyrimethamine drug combinationPyrimethamineSulfadoxine

Identifiers

PMID24019436
PMCPMC3820326

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.