Evidence map›Paper›PMID 30235327›Full record

ArticlePloS one2018

Molecular assays for antimalarial drug resistance surveillance: A target product profile.

Christian Nsanzabana, Frederic Ariey, Hans-Peter Beck, Xavier C Ding, Edwin Kamau, Sanjeev Krishna, Eric Legrand, Naomi Lucchi, Olivo Miotto, Sidsel Nag and 7 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. NovelAntimicrobial agents and chemotherapy · 2025
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  7. Review
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  9. Article
  10. Review
  11. Article
  12. Structural Analysis ofInternational journal of molecular sciences · 2023
    Article
  13. Article
  14. Article
  15. [Pcr-rflp genotyping ofMedecine tropicale et sante internationale · 2022
    Article
  16. Review
  17. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations.International journal for parasitology. Drugs and drug resistance · 2021
    Review
  18. Review
  19. Mapping partner drug resistance to guide antimalarial combination therapy policies in sub-Saharan Africa.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Review
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

17 authors.

Christian NsanzabanaFoundation for Innovative New Diagnostics, Geneva, Switzerland.ORCID 0000-0002-6944-3892
Frederic ArieyINSERM 1016, Institut Cochin, Université Paris Descartes, Paris, France.
Hans-Peter BeckMedical Parasitology and Infection Biology Department, Swiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0001-8326-4834
Xavier C DingFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Edwin KamauWalter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Sanjeev KrishnaInstitute for Infection & Immunity, St George's University of London, London, United Kingdom.ORCID 0000-0003-0066-0634
Eric LegrandMalaria Genetic and Resistance Group, Biology of Host-Parasite Interactions Unit, Institut Pasteur, Paris, France.
Naomi LucchiMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Olivo MiottoMahidol-Oxford Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Sidsel NagCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Harald NoedlInstitute of Specific Prophylaxis and Tropical Medicine, Medical University of Vienna, Vienna, Austria.
Cally RoperFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-6545-309X
Philip J RosenthalDepartment of Medicine, University of California, San Francisco, California, United States of America.
Henk D F H SchalligAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Experimental Parasitology, Amsterdam, The Netherlands.
Steve M TaylorDivision of Infectious Diseases and Duke Global Health Institute, Duke University Medical Center, Durham, North Carolina, United States of America.
Sarah K VolkmanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Iveth J GonzalezFoundation for Innovative New Diagnostics, Geneva, Switzerland.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2010 to 2026
$29.3M
Medical Research Council MR/M006212/1NIAID NIH HHS U19 AI089674Wellcome Trust 204911/Z/16/Z
6 · The paper itself

Abstract

Antimalarial drug resistance is a major constraint for malaria control and elimination efforts. Artemisinin-based combination therapy is now the mainstay for malaria treatment. However, delayed parasite clearance following treatment with artemisinin derivatives has now spread in the Greater Mekong Sub region and may emerge or spread to other malaria endemic regions. This spread is of great concern for malaria control programmes, as no alternatives to artemisinin-based combination therapies are expected to be available in the near future. There is a need to strengthen surveillance systems for early detection and response to the antimalarial drug resistance threat. Current surveillance is mainly done through therapeutic efficacy studies; however these studies are complex and both time- and resource-intensive. For multiple common antimalarials, parasite drug resistance has been correlated with specific genetic mutations, and the molecular markers associated with antimalarial drug resistance offer a simple and powerful tool to monitor the emergence and spread of resistant parasites. Different techniques to analyse molecular markers associated with antimalarial drug resistance are available, each with advantages and disadvantages. However, procedures are not adequately harmonized to facilitate comparisons between sites. Here we describe the target product profiles for tests to analyse molecular markers associated with antimalarial drug resistance, discuss how use of current techniques can be standardised, and identify the requirements for an ideal product that would allow malaria endemic countries to provide useful spatial and temporal information on the spread of resistance.

Indexed as

Drug ResistanceAntimalarialsBiological AssayCosts and Cost AnalysisAntimalarials

Identifiers

PMID30235327
PMCPMC6147503

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.