Evidence map›Paper›PMID 29928735›Full record

ArticleInfectious Disease Modelling2017

Modelling the impact of antimalarial quality on the transmission of sulfadoxine-pyrimethamine resistance in

Aleisha R Brock, Joshua V Ross, Scott Greenhalgh, David P Durham, Alison Galvani, Sunil Parikh, Adrian Esterman

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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  5. 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

7 authors.

Aleisha R BrockSchool of Nursing & Midwifery, University of South Australia, Adelaide, SA, Australia.
Joshua V RossSchool of Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Scott GreenhalghDepartment of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
David P DurhamCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Alison GalvaniCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Sunil ParikhYale School of Public Health, New Haven, CT, USA.
Adrian EstermanSansom Institute for Research Health, University of South Australia, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of poor quality antimalarial medicines, including the use of non-recommended medicines for treatment such as sulfadoxine-pyrimethamine (SP) monotherapy, undermines malaria control and elimination efforts. Furthermore, the use of subtherapeutic doses of the active ingredient(s) can theoretically promote the emergence and transmission of drug resistant parasites.

methodsWe developed a deterministic compartmental model to quantify the impact of antimalarial medicine quality on the transmission of SP resistance, and validated it using sensitivity analysis and a comparison with data from Kenya collected in 2006. We modelled human and mosquito population dynamics, incorporating two

findingsThe model predicted that an increase in human malaria cases, and among these, an increase in the proportion of SP-resistant infections, resulted from an increase in poor quality SP antimalarial use, whether it was full- or half-dose SP monotherapy.

interpretationOur findings suggest that an increase in poor quality antimalarial use predicts an increase in the transmission of resistance. This highlights the need for stricter control and regulation on the availability and use of poor quality antimalarial medicines, in order to offer safe and effective treatments, and work towards the eradication of malaria.

Indexed as

Antimalarial qualityDeterministic compartmental modelDrug resistanceFalsified antimalarial medicinePlasmodium falciparum malariaSubstandard antimalarial treatments

Identifiers

PMID29928735
PMCPMC6001968

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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.