Evidence map›Paper›PMID 33526486›Full record

ArticleAntimicrobial agents and chemotherapy2021

Parasite-Host Dynamics throughout Antimalarial Drug Development Stages Complicate the Translation of Parasite Clearance.

Lydia Burgert, Sophie Zaloumis, Saber Dini, Louise Marquart, Pengxing Cao, Mohammed Cherkaoui, Nathalie Gobeau, James McCarthy, Julie A Simpson, Jörg J Möhrle and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Parasite Viability as a Measure ofAntimicrobial agents and chemotherapy · 2022
    Article
  4. SARS-CoV-2-specific CD4Signal transduction and targeted therapy · 2022
    Article
  5. 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

11 authors at 4 institutions in 2 countries.

Lydia BurgertSwiss Tropical and Public Health Institute, Basel, Switzerland.
Sophie ZaloumisCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-8253-8896
Saber DiniCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-4613-3672
Louise MarquartQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Pengxing CaoSchool of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.
Mohammed CherkaouiMedicines for Malaria Venture, Geneva, Switzerland.
Nathalie GobeauMedicines for Malaria Venture, Geneva, Switzerland.
James McCarthyQIMR Berghofer Medical Research Institute, Brisbane, Australia.ORCID 0000-0001-6596-9718
Julie A SimpsonCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Jörg J MöhrleSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0002-0769-9649
Melissa A PennySwiss Tropical and Public Health Institute, Basel, Switzerland melissa.penny@unibas.ch.ORCID 0000-0002-4972-593X
The University of Melbourne · AUSwiss Tropical and Public Health Institute · CHMedicines for Malaria Venture · CHQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring continued success against malaria depends on a pipeline of new antimalarials. Antimalarial drug development utilizes preclinical murine and experimental human malaria infection studies to evaluate drug efficacy. A sequential approach is typically adapted, with results from each stage informing the design of the next stage of development. The validity of this approach depends on confidence that results from murine malarial studies predict the outcome of clinical trials in humans. Parasite clearance rates following treatment are key parameters of drug efficacy. To investigate the validity of forward predictions, we developed a suite of mathematical models to capture parasite growth and drug clearance along the drug development pathway and estimated parasite clearance rates. When comparing the three infection experiments, we identified different relationships of parasite clearance with dose and different maximum parasite clearance rates. In

Indexed as

AntimalarialsMalaria, FalciparumParasitesAnimalsMiceMice, SCIDPlasmodium bergheiPlasmodium falciparumAntimalarialsantimalarial drug developmentparasite clearanceparasite-host interactionstranslational medicinewithin-host models

Identifiers

PMID33526486
PMCPMC8097426
OpenAlexW3126348989

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.