Evidence map›Paper›PMID 33685888›Full record

ArticleAntimicrobial agents and chemotherapy2021

Development and Validation of an

Sophie G Zaloumis, Jason M Whyte, Joel Tarning, Sanjeev Krishna, James M McCaw, Pengxing Cao, Michael T White, Saber Dini, Freya J I Fowkes, Richard J Maude and 5 more

Open access · greenAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. 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

15 authors at 9 institutions in 8 countries.

Sophie G ZaloumisCentre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia sophiez@unimelb.edu.au.ORCID 0000-0002-8253-8896
Jason M WhyteCentre of Excellence for Biosecurity Risk Analysis, School of BioSciences, University of Melbourne, Melbourne, Australia.
Joel TarningMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID 0000-0003-4566-4030
Sanjeev KrishnaInstitute for Infection and Immunity, St. George's Hospital, University of London, London, United Kingdom.
James M McCawCentre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Pengxing CaoSchool of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.
Michael T WhiteDepartment of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
Saber DiniCentre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-4613-3672
Freya J I FowkesCentre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Richard J MaudeMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Peter KremsnerCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
Arjen DondorpMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Ric N PriceCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Nicholas J WhiteMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Julie A SimpsonCentre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-2660-2013
The University of Melbourne · AUMahidol University · THAustralian Research Council · AUBurnet Institute · AUCentre de Recherche Médicales de Lambaréné · GACharles Darwin University · AUHarvard University · USInstitut Pasteur · FRUniversity of London · GB

Funding

Wellcome Trust 200909Wellcome Trust 200909/Z/16/Z
6 · The paper itself

Abstract

Most deaths from severe falciparum malaria occur within 24 h of presentation to a hospital. Intravenous (i.v.) artesunate is the first-line treatment for severe falciparum malaria, but its efficacy may be compromised by delayed parasitological responses. In patients with severe malaria, the life-saving benefit of the artemisinin derivatives is their ability to clear circulating parasites rapidly, before they can sequester and obstruct the microcirculation. To evaluate the dosing of i.v. artesunate for the treatment of artemisinin-sensitive and reduced ring stage sensitivity to artemisinin severe falciparum malaria infections, Bayesian pharmacokinetic-pharmacodynamic modeling of data from 94 patients with severe malaria (80 children from Africa and 14 adults from Southeast Asia) was performed. Assuming that delayed parasite clearance reflects a loss of ring stage sensitivity to artemisinin derivatives, the median (95% credible interval) percentage of patients clearing ≥99% of parasites within 24 h (PC24≥99%) for standard (2.4 mg/kg body weight i.v. artesunate at 0 and 12 h) and simplified (4 mg/kg i.v. artesunate at 0 h) regimens was 65% (52.5% to 74.5%) versus 44% (25% to 61.5%) for adults, 62% (51.5% to 74.5%) versus 39% (20.5% to 58.5%) for larger children (≥20 kg), and 60% (48.5% to 70%) versus 36% (20% to 53.5%) for smaller children (<20 kg). The upper limit of the credible intervals for all regimens was below a PC24≥99% of 80%, a threshold achieved on average in clinical studies of severe falciparum malaria infections. In severe falciparum malaria caused by parasites with reduced ring stage susceptibility to artemisinin, parasite clearance is predicted to be slower with both the currently recommended and proposed simplified i.v. artesunate dosing regimens.

Indexed as

AntimalarialsMalariaMalaria, FalciparumAdultAfricaArtesunateAsia, SoutheasternBayes TheoremChildComputer SimulationHumansPlasmodium falciparumAntimalarialsArtesunateintravenous artesunatepharmacokinetic-pharmacodynamic modelingPlasmodium falciparumsevere malaria

Identifiers

PMID33685888
PMCPMC8316083
OpenAlexW3135409505

What OpenQuestion holds

Textmetadata
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.