Evidence map›Paper›PMID 36962300›Full record

ArticlePLOS global public health2022

Long-term effects of increased adoption of artemisinin combination therapies in Burkina Faso.

Robert J Zupko, Tran Dang Nguyen, Anyirékun Fabrice Somé, Thu Nguyen-Anh Tran, Jaline Gerardin, Patrick Dudas, Dang Duy Hoang Giang, Kien Trung Tran, Amy Wesolowski, Jean-Bosco Ouédraogo and 1 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. BMJ open · 2024
    Observational
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  14. Article
  15. 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

11 authors at 5 institutions in 4 countries.

Robert J ZupkoCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0001-8757-483X
Tran Dang NguyenCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0002-5118-8432
Anyirékun Fabrice SoméInstitut de Recherche en Sciences de la Santé, Direction Régionale de l'Ouest, Bobo Dioulasso, Burkina Faso.ORCID https://orcid.org/0000-0002-1530-1493
Thu Nguyen-Anh TranCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0001-6789-5900
Jaline GerardinDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, United States of America.ORCID https://orcid.org/0000-0001-8071-9928
Patrick DudasInstitute for Computational and Data Sciences, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0001-8333-2104
Dang Duy Hoang GiangWellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.ORCID https://orcid.org/0000-0001-8304-5228
Kien Trung TranCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0003-3046-8547
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Jean-Bosco OuédraogoInstitut de Recherche en Sciences de La Santé, Bobo-Dioulasso, Burkina Faso.ORCID https://orcid.org/0000-0003-0412-8733
Maciej F BoniCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, United States of America.ORCID https://orcid.org/0000-0002-0830-9630
Pennsylvania State University · USInstitut de Recherche en Sciences de la Santé · BFJohns Hopkins University · USNorthwestern University · USOxford University Clinical Research Unit · VN

Funding

Human mobility models to forecast disease dynamics and the effectiveness of public health interventionsR01AI160780 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A, WESOLOWSKI, AMY · 2021 to 2025
$3.3M
Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
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 AI153355NIAID NIH HHS R01 AI160780NLM NIH HHS DP2 LM013102
6 · The paper itself

Abstract

Artemisinin combination therapies (ACTs) are the WHO-recommended first-line therapies for uncomplicated Plasmodium falciparum malaria. The emergence and spread of artemisinin-resistant genotypes is a major global public health concern due to the increased rate of treatment failures that result. This is particularly germane for WHO designated 'high burden to high impact' (HBHI) countries, such as Burkina Faso, where there is increased emphasis on improving guidance, strategy, and coordination of local malaria response in an effort to reduce the prevalence of P. falciparum malaria. To explore how the increased adoption of ACTs may affect the HBHI malaria setting of Burkina Faso, we added spatial structure to a validated individual-based stochastic model of P. falciparum transmission and evaluated the long-term effects of increased ACT use. We explored how de novo emergence of artemisinin-resistant genotypes, such as pfkelch13 580Y, may occur under scenarios in which private-market drugs are eliminated or multiple first-line therapies (MFT) are deployed. We found that elimination of private market drugs would result in lower treatment failures rates (between 11.98% and 12.90%) when compared to the status quo (13.11%). However, scenarios incorporating MFT with equal deployment of artemether-lumefantrine (AL) and dihydroartemisinin-piperaquine (DHA-PPQ) may accelerate near-term drug resistance (580Y frequency ranging between 0.62 to 0.84 in model year 2038) and treatment failure rates (26.69% to 34.00% in 2038), due to early failure and substantially reduced treatment efficacy resulting from piperaquine-resistant genotypes. A rebalanced MFT approach (90% AL, 10% DHA-PPQ) results in approximately equal long-term outcomes to using AL alone but may be difficult to implement in practice.

Identifiers

PMID36962300
PMCPMC10021447
OpenAlexW4226134744

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read131
identifiers read11
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.