Evidence map›Paper›PMID 38574550›Full record

SynthesisThe American journal of tropical medicine and hygiene2024

Systematic Review and Geospatial Modeling of Molecular Markers of Resistance to Artemisinins and Sulfadoxine-Pyrimethamine in Plasmodium falciparum in India.

Minu Nain, Mehul Dhorda, Jennifer A Flegg, Apoorv Gupta, Lucinda E Harrison, Sauman Singh-Phulgenda, Sabina D Otienoburu, Eli Harriss, Praveen K Bharti, Beauty Behera and 3 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Artemisinin-resistant malaria.Clinical microbiology reviews · 2024
    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

13 authors at 6 institutions in 5 countries.

Minu NainICMR-National Institute of Malaria Research, New Delhi, India.
Mehul DhordaWorldWide Antimalarial Resistance Network, Oxford, United Kingdom.
Jennifer A FleggSchool of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia.
Apoorv GuptaICMR-National Institute of Malaria Research, New Delhi, India.
Lucinda E HarrisonSchool of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia.
Sauman Singh-PhulgendaInfectious Diseases Data Observatory, Oxford, United Kingdom.
Sabina D OtienoburuWorldWide Antimalarial Resistance Network, Oxford, United Kingdom.
Eli HarrissThe Knowledge Centre, Bodleian Health Care Libraries, University of Oxford, Oxford, United Kingdom.
Praveen K BhartiICMR-National Institute of Malaria Research, New Delhi, India.
Beauty BeheraICMR-National Institute of Malaria Research, New Delhi, India.
Manju RahiICMR-National Institute of Malaria Research, New Delhi, India.
Philippe J GuerinWorldWide Antimalarial Resistance Network, Oxford, United Kingdom.
Amit SharmaICMR-National Institute of Malaria Research, New Delhi, India.
National Institute of Malaria Research · INInfectious Diseases Data Observatory · GBUniversity of Melbourne · AUUniversity of Oxford · GBInternational Centre for Genetic Engineering and Biotechnology · INJohnson C. Smith University · US

Funding

Gates Foundation INV-004713
6 · The paper itself

Abstract

Surveillance for genetic markers of resistance can provide valuable information on the likely efficacy of antimalarials but needs to be targeted to ensure optimal use of resources. We conducted a systematic search and review of publications in seven databases to compile resistance marker data from studies in India. The sample collection from the studies identified from this search was conducted between 1994 and 2020, and these studies were published between 1994 and 2022. In all, Plasmodium falciparum Kelch13 (PfK13), P. falciparum dihydropteroate synthase, and P. falciparum dihydrofolate reductase (PfDHPS) genotype data from 2,953, 4,148, and 4,222 blood samples from patients with laboratory-confirmed malaria, respectively, were extracted from these publications and uploaded onto the WorldWide Antimalarial Resistance Network molecular surveyors. These data were fed into hierarchical geostatistical models to produce maps with a predicted prevalence of the PfK13 and PfDHPS markers, and of the associated uncertainty. Zones with a predicted PfDHPS 540E prevalence of >15% were identified in central, eastern, and northeastern India. The predicted prevalence of PfK13 mutants was nonzero at only a few locations, but were within or adjacent to the zones with >15% prevalence of PfDHPS 540E. There may be a greater probability of artesunate-sulfadoxine-pyrimethamine failures in these regions, but these predictions need confirmation. This work can be applied in India and elsewhere to help identify the treatments most likely to be effective for malaria elimination.

Indexed as

AntimalarialsArtemisininsDrug CombinationsDrug ResistanceMalaria, FalciparumPlasmodium falciparumPyrimethamineSulfadoxineDihydropteroate SynthaseGenetic MarkersHumansIndiaProtozoan ProteinsTetrahydrofolate DehydrogenaseAntimalarialsArtemisininsDihydropteroate SynthaseDrug Combinationsfanasil, pyrimethamine drug combinationGenetic MarkersProtozoan ProteinsPyrimethamineSulfadoxineTetrahydrofolate Dehydrogenase

Identifiers

PMID38574550
PMCPMC11066343
OpenAlexW4393410616

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.