Evidence map›Paper›PMID 31477109›Full record

ReviewMalaria journal2019

Deployment and utilization of next-generation sequencing of Plasmodium falciparum to guide anti-malarial drug policy decisions in sub-Saharan Africa: opportunities and challenges.

Deus S Ishengoma, Queen Saidi, Carol H Sibley, Cally Roper, Michael Alifrangis

Open access · goldAbstract readReview
In one paragraph

Review in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genetic metrics decodeFrontiers in genetics · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. The Emergence of Travel-related Infections in Critical Care Units.Journal of translational internal medicine · 2022
    Article
  15. Review
  16. Review
  17. Current methods for the detection ofCurrent research in parasitology & vector-borne diseases · 2022
    Review
  18. Review
  19. Diagnosing the drug resistance signature inJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021
    Review
  20. 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

5 authors at 5 institutions in 4 countries.

Deus S IshengomaNational Institute for Medical Research, Tanga Centre, Tanga, Tanzania. deusishe@yahoo.com.ORCID http://orcid.org/0000-0003-2040-3416
Queen SaidiKilimanjaro Christian Medical University College, Moshi, Tanzania.
Carol H SibleyDepartment of Genome Sciences, University of Washington, Seattle, USA.
Cally RoperLondon School of Hygiene & Tropical Medicine, London, UK.
Michael AlifrangisCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Kilimanjaro Christian Medical Centre · TZLondon School of Hygiene & Tropical Medicine · GBNational Institute for Medical Research · TZUniversity of Copenhagen · DKUniversity of Washington · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

Parasite resistance against anti-malarial drugs is a major threat to the ongoing malaria control and elimination strategies. This is especially true since resistance to the currently recommended artemisinins and partner drugs has been confirmed in South East Asia (SEA) and new anti-malarial compounds are not expected to be available in the near future. Spread from SEA or independent emergence of artemisinin resistance in sub-Saharan Africa (SSA) could reverse the achievements in malaria control that have been attained in the past two decades and derail the ongoing elimination strategies. The current surveillance of clinical efficacy and resistance to anti-malarial drugs is based on efficacy trials to assess the clinical performance of anti-malarials, in vivo/ex vivo assessment of parasite susceptibility to anti-malarials and prevalence of known molecular markers of drug resistance. Whereas clinical efficacy trials are restricted by cost and the complex logistics of patient follow-up, molecular detection of genetic mutations associated with resistance or reduced susceptibility to anti-malarials is by contrast a simple and powerful tool for early detection and monitoring of the prevalence of resistant parasites at population level. This provides needed information before clinical failure emerges, allowing policy makers to anticipate problems and respond. The various methods previously used in detection of molecular markers of drug resistance share some limitations: low-throughput, and high costs per sample and demanding infrastructure. However, recent technological advances including next-generation sequencing (NGS) methodologies promise greatly increased throughput and reduced costs, essentially providing unprecedented potential to address different research and operational questions of relevance for drug policy. This review assesses the potential role of NGS to provide comprehensive information that could guide drug policies in malaria endemic countries and looks at the foreseeable challenges facing the establishment of NGS approaches for routine surveillance of parasite resistance to anti-malarials in SSA.

Indexed as

High-Throughput Nucleotide SequencingPolicy MakingAfrica South of the SaharaAntimalarialsCommunicable Disease ControlDrug ResistanceDrug Therapy, CombinationGlobal HealthLegislation, DrugMalaria, FalciparumPlasmodium falciparumAntimalarialsDrug resistanceMalariaNext-generation sequencingPlasmodium falciparumSub-Saharan Africa

Identifiers

PMID31477109
PMCPMC6719357
OpenAlexW2971511768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.