Evidence map›Paper›PMID 38360803›Full record

ArticleNature communications2024

Assessing emergence risk of double-resistant and triple-resistant genotypes of Plasmodium falciparum.

Eric Zhewen Li, Tran Dang Nguyen, Thu Nguyen-Anh Tran, Robert J Zupko, Maciej F Boni

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Breaking the cycle of malaria treatment failure.Frontiers in epidemiology · 2022
    Article
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

5 authors.

Eric Zhewen LiCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0009-0006-9622-1968
Tran Dang NguyenCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-5118-8432
Thu Nguyen-Anh TranCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-6789-5900
Robert J ZupkoCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-8757-483X
Maciej F BoniCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA. mboni@temple.edu.ORCID 0000-0002-0830-9630

Funding

Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistanceR01AI153355 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI BONI, MACIEJ F · 2020 to 2024
$1.8M
NIAID NIH HHS R01 AI153355
6 · The paper itself

Abstract

Delaying and slowing antimalarial drug resistance evolution is a priority for malaria-endemic countries. Until novel therapies become available, the mainstay of antimalarial treatment will continue to be artemisinin-based combination therapy (ACT). Deployment of different ACTs can be optimized to minimize evolutionary pressure for drug resistance by deploying them as a set of co-equal multiple first-line therapies (MFT) rather than rotating therapies in and out of use. Here, we consider one potential detriment of MFT policies, namely, that the simultaneous deployment of multiple ACTs could drive the evolution of different resistance alleles concurrently and that these resistance alleles could then be brought together by recombination into double-resistant or triple-resistant parasites. Using an individual-based model, we compare MFT and cycling policies in malaria transmission settings ranging from 0.1% to 50% prevalence. We define a total risk measure for multi-drug resistance (MDR) by summing the area under the genotype-frequency curves (AUC) of double- and triple-resistant genotypes. When prevalence ≥ 1%, total MDR risk ranges from statistically similar to 80% lower under MFT policies than under cycling policies, irrespective of whether resistance is imported or emerges de novo. At 0.1% prevalence, there is little statistical difference in MDR risk between MFT and cycling.

Indexed as

AntimalarialsFolic Acid AntagonistsMalaria, FalciparumDrug ResistanceGenotypeHumansMalariaPlasmodium falciparumAntimalarialsFolic Acid Antagonists

Identifiers

PMID38360803
PMCPMC10869733

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.