Evidence map›Paper›PMID 25470531›Full record

ReviewGenome biology2014

Drug resistance genomics of the antimalarial drug artemisinin.

Elizabeth A Winzeler, Micah J Manary

Open access · goldAbstract readReview
In one paragraph

Review in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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  6. Genetic resistance to purine nucleoside phosphorylase inhibition inProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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  10. Review
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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

2 authors at 1 institution in 1 country.

Elizabeth A Winzeler
Micah J Manary
University of California, San Diego · US

Funding

Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Discovery of chemically validated malaria liver stage targetsR01AI090141 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2011 to 2019
$3.4M
Defining the targets of broad intervention antimalarial agentsR01AI103058 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2013 to 2016
$2.6M
NIAID NIH HHS R01 AI090141NIAID NIH HHS R01AI090141NIAID NIH HHS R01 AI103058NIAID NIH HHS R01AI103058NIGMS NIH HHS T32 GM008666
6 · The paper itself

Abstract

Across the globe, over 200 million annual malaria infections result in up to 660,000 deaths, 77% of which occur in children under the age of five years. Although prevention is important, malaria deaths are typically prevented by using antimalarial drugs that eliminate symptoms and clear parasites from the blood. Artemisinins are one of the few remaining compound classes that can be used to cure multidrug-resistant Plasmodium falciparum infections. Unfortunately, clinical trials from Southeast Asia are showing that artemisinin-based treatments are beginning to lose their effectiveness, adding renewed urgency to the search for the genetic determinants of parasite resistance to this important drug class. We review the genetic and genomic approaches that have led to an improved understanding of artemisinin resistance, including the identification of resistance-conferring mutations in the P. falciparum kelch13 gene.

Indexed as

GenomicsAntimalarialsArtemisininsDrug ResistanceHumansMalaria, FalciparumPlasmodium falciparumAntimalarialsartemisininArtemisinins

Identifiers

PMID25470531
PMCPMC4283579
OpenAlexW2114726277

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.