ArticleTrends in parasitology2013
Ahead of the curve: next generation estimators of drug resistance in malaria infections.
Article in Trends in parasitology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- Drug resistance trends in Tuberculosis cases: Insights from a decade of surveillance data.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- UnderstandingiScience · 2026Article
- Evaluation of Antiplasmodial Activity of Quinoline Derivatives Incorporating Arylnitro and Aminochalcone Moieties.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Toward Setting Minimum and Optimal Data to Report for Malaria Molecular Surveillance with Targeted Sequencing: The "What" and "Why".The American journal of tropical medicine and hygiene · 2025Article
- Temporal genomics in Southern Zambia shows rising prevalence of Plasmodium falciparum mutations linked to delayed clearance after artemisinin-lumefantrine treatment.Scientific reports · 2024Article
- Temporal genomic analysis ofmedRxiv : the preprint server for health sciences · 2024Article
- Detection of Antimalarial Resistance-Associated Mutations in Plasmodium falciparum via a Platform of Allele-Specific PCR Combined with a Gold Nanoparticle-Based Lateral Flow Assay.Microbiology spectrum · 2022Article
- Low Complexity of Infection Is Associated With Molecular Persistence ofFrontiers in epidemiology · 2022Article
- UnderstandingFrontiers in immunology · 2019Review
- Reuse of malaria rapid diagnostic tests for amplicon deep sequencing to estimate Plasmodium falciparum transmission intensity in western Uganda.Scientific reports · 2018Article
- Review
- Vectors as Epidemiological Sentinels: Patterns of Within-Tick Borrelia burgdorferi Diversity.PLoS pathogens · 2016Article
- A Method for Amplicon Deep Sequencing of Drug Resistance Genes in Plasmodium falciparum Clinical Isolates from India.Journal of clinical microbiology · 2016Article
- Within-host competition and drug resistance in the human malaria parasite Plasmodium falciparum.Proceedings. Biological sciences · 2016Article
- A deep sequencing tool for partitioning clearance rates following antimalarial treatment in polyclonal infections.Evolution, medicine, and public health · 2016Article
- Using Amplicon Deep Sequencing to Detect Genetic Signatures of Plasmodium vivax Relapse.The Journal of infectious diseases · 2015Article
- Population Genetics, Evolutionary Genomics, and Genome-Wide Studies of Malaria: A View Across the International Centers of Excellence for Malaria Research.The American journal of tropical medicine and hygiene · 2015Article
- The biology of Plasmodium vivax explored through genomics.Annals of the New York Academy of Sciences · 2015Review
- Development of a capillary electrophoresis-based heteroduplex tracking assay to measure in-host genetic diversity of initial and recurrent Plasmodium vivax infections in Cambodia.Journal of clinical microbiology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Drug resistance is a major obstacle to controlling infectious diseases. A key challenge is detecting the early signs of drug resistance when little is known about its genetic basis. Focusing on malaria parasites, we propose a way to do this. Newly developing or low level resistance at low frequency in patients can be detected through a phenotypic signature: individual parasite variants clearing more slowly following drug treatment. Harnessing the abundance and resolution of deep sequencing data, our 'selection differential' approach addresses some limitations of extant methods of resistance detection, should allow for the earliest detection of resistance in malaria or other multi-clone infections, and has the power to uncover the true scale of the drug resistance problem.
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Registered trials
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.