Evidence map›Paper›PMID 40463542›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Slowing the spread of treatment failure to artemisinin-based combination therapies in Uganda.

Tran Dang Nguyen, Robert J Zupko, Melissa D Conrad, Gerald B Rukundo, Carter C Farinha, Victor D Asua, Kien Trung Tran, Deborah M Grace, Philip J Rosenthal, Bosco B Agaba and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Tran Dang NguyenInstitute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA, USA.
Robert J ZupkoCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
Melissa D ConradDepartment of Medicine, University of California San Francisco, San Francisco, CA.ORCID 0000-0002-9984-8030
Gerald B RukundoNational Malaria Elimination Division, Kampala, Uganda.
Carter C FarinhaInstitute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA, USA.
Victor D AsuaInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Kien Trung TranInstitute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA, USA.
Deborah M GraceCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
Philip J RosenthalDepartment of Medicine, University of California San Francisco, San Francisco, CA.
Bosco B AgabaNational Malaria Elimination Division, Kampala, Uganda.
Moses R KamyaNational Malaria Elimination Division, Kampala, Uganda.
Jimmy OpigoNational Malaria Elimination Division, Kampala, Uganda.
Maciej F BoniInstitute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA, USA.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Resistance of Malaria Parasites to Artemisinin-Based TherapiesR01AI075045 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSENTHAL, PHILIP JON · 2009 to 2024
$8.4M
Pharmacological insights into antimalarial exposure, clinical outcomes, and drug resistance in AfricaR01AI117001 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AWEEKA, FRANCESCA T., ROSENTHAL, PHILIP JON · 2015 to 2024
$7.1M
Mechanisms of varied sensitivity of P. falciparum field isolates to the antimalarial drug pipelineR01AI139179 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Philip Jon Rosenthal · 2018 to 2026
$6.3M
Surveillance to track and characterize antimalarial resistance trends in Ugandan Plasmodium falciparum parasites (STARTUP)R01AI173557 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Melissa D Conrad · 2023 to 2026
$2.9M
Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
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
FIC NIH HHS D43 TW010526Gates Foundation INV-005517Gates Foundation INV-035751Gates Foundation INV-037316NIAID NIH HHS R01 AI075045NIAID NIH HHS R01 AI117001NIAID NIH HHS R01 AI139179NIAID NIH HHS R01 AI153355NIAID NIH HHS R01 AI173557NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

Background: The multiple emergences and continuing spread of partially artemisinin-resistant Methods: Using a previously validated Uganda-calibrated individual-based mathematical model of Results: A change of first-line therapy from AL to artesunate-amodiaquine (ASAQ) is projected to reduce treatment failures by 34.7% to 38.3% (90% range of simulation outcomes) over six years, while a change to dihydroartemisinin-piperaquine (DHA-PPQ) is projected to reduce treatment failures over the same period by 10.0% to 12.9%. This pessimistic projection for DHA-PPQ deployment rests on a model assumption - supported by clinical data from SE Asia - that piperaquine resistance evolution will lead to high rates of treatment failure. Optimal MFT deployments and cycling approaches are projected to reduce treatment failure counts by ~36% when compared to status quo AL use, an outcome similar to country-wide ASAQ deployment. MFT and cycling approaches are predicted to work best when ASAQ is recommended for a majority of malaria cases and DHA-PPQ for a smaller proportion of cases. Deployment of the triple ACT artemether-lumefantrine-amodiaquine has the potential to reduce treatment failures by ~42% if enacted immediately. Conclusions: Increased adoption of and coverage with ASAQ is projected to play a large role in reducing malaria treatment failure counts in Uganda over the next six years. With continued AL use in the private sector, ASAQ and DHA-PPQ deployment in the public sector creates a public-private MFT mix of antimalarial use. DHA-PPQ deployment should be accompanied by real-time molecular surveillance for piperaquine-resistant genotypes.

Identifiers

PMID40463542
PMCPMC12132124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.