Evidence map›Paper›PMID 33763871›Full record

ReviewClinical pharmacology and therapeutics2021

Malaria PK/PD and the Role Pharmacometrics Can Play in the Global Health Arena: Malaria Treatment Regimens for Vulnerable Populations.

Emma Hughes, Erika Wallender, Ali Mohamed Ali, Prasanna Jagannathan, Radojka M Savic

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  11. Editorial: Anticancer Potential ofFrontiers in oncology · 2022
    Article
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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

5 authors at 2 institutions in 1 country.

Emma HughesDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.
Erika WallenderDepartment of Clinical Pharmacy, University of California San Francisco, San Francisco, California, USA.
Ali Mohamed AliDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.
Prasanna JagannathanDepartment of Medicine, Stanford University, Stanford, California, USA.
Radojka M SavicDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USStanford University · US

Funding

PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
Enhancing immunity to malaria in young children with effective chemopreventionU01AI155325 · NIAID · STANFORD UNIVERSITY · PI JAGANNATHAN, PRASANNA · 2021 to 2025
$6.3M
NIAID NIH HHS U01 AI155325NIGMS NIH HHS T32 GM007175
6 · The paper itself

Abstract

Malaria is an infectious disease which disproportionately effects children and pregnant women. These vulnerable populations are often excluded from clinical trials resulting in one-size-fits-all treatment regimens based on those established for a nonpregnant adult population. Pharmacokinetic/pharmacodynamic (PK/PD) models can be used to optimize dose selection as they define the drug exposure-response relationship. Additionally, these models are able to identify patient characteristics that cause alterations in the expected PK/PD profiles and through simulations can recommend changes to dosing which compensate for the differences. In this review, we examine how PK/PD models have been applied to optimize antimalarial dosing recommendations for young children, including those who are malnourished, pregnant women, and individuals receiving concomitant therapies such as those for HIV treatment. The malaria field has had great success in utilizing PK/PD models as a foundation to update treatment guidelines and propose the next generation of dosing regimens to investigate in clinical trials. We propose how the malaria field can continue to use modeling to improve therapies by further integrating PK data into clinical studies and including data on drug resistance and host immunity in PK/PD models. Finally, we suggest that other disease areas can achieve similar success in applying pharmacometrics to improve outcomes by implementing three key principals.

Indexed as

Global HealthVulnerable PopulationsAmodiaquineAnti-HIV AgentsAntimalarialsArtemether, Lumefantrine Drug CombinationArtemisininsArtesunateChild, PreschoolDose-Response Relationship, DrugDrug CombinationsDrug InteractionsDrug Therapy, CombinationFemaleHIV InfectionsHumansAmodiaquineamodiaquine, artesunate drug combinationAnti-HIV AgentsAntimalarialsArtemether, Lumefantrine Drug CombinationArtemisininsartenimolArtesunateDrug CombinationsMefloquinepiperaquinePiperazinesPyrimethamineQuinolinesSulfadoxinesulfadoxine-pyrimethamine-artesunate

Identifiers

PMID33763871
PMCPMC8518425
OpenAlexW3135953310

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.