ArticleScientific reports2016
Optimising Antibiotic Usage to Treat Bacterial Infections.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
What it found
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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
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.
- Pooled it
- ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026Review
- Intermittent antibiotic exposure of Escherichia coli biofilms drives resistance in catheter-associated infection models.NPJ biofilms and microbiomes · 2026Article
- Liquid metal-loaded MXene with enhanced photothermal performance for detection and elimination of drug-resistant bacteria.Mikrochimica acta · 2026Article
- High electron transfer efficiency accordion-shaped HNiZn heterostructure nanozyme for low-temperature photo-catalytic enhanced therapy of bacterial infection wounds.Materials today. Bio · 2025Article
- Bacteriologic profile and antimicrobial resistance in infants aged 1 year or younger with congenital nasolacrimal duct obstruction.Japanese journal of ophthalmology · 2025Article
- Advancements in Managing Choledocholithiasis and Acute Cholangitis in the Elderly: A Comprehensive Review.Cureus · 2025Review
- The importance of getting the dose right in the treatment of tuberculosis.Breathe (Sheffield, England) · 2025Article
- Effect of 5-fluorouracil onFrontiers in microbiology · 2025Review
- Differentiation Between Responders and Non-Responders to Antibiotic Treatment in Mice UsingMolecular imaging and biology · 2024Article
- Study on knowledge, attitudes and behavioral practices of antimicrobial usage and resistance in animals and humans in Bahir Dar City, Northwest Ethiopia.BMC public health · 2024Article
- Article
- Dosage Optimisation of Trimethoprim and Sulfamethoxazole for the Treatment of an Avian Pathogenic Strain ofAntibiotics (Basel, Switzerland) · 2023Article
- Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs.Briefings in bioinformatics · 2023Article
- Prediction of tsunami of resistance to some antibiotics is not far-fetched which used during COVID-19 pandemic.Journal of clinical laboratory analysis · 2023Review
- Review
- Gut microbiota interspecies interactions shape the response of Clostridioides difficile to clinically relevant antibiotics.PLoS biology · 2023Article
- Pharmacokinetics and tissue distribution of florfenicol and florfenicol amine in snubnose pompano (Trachinotus blochii) following oral administration.Fish physiology and biochemistry · 2023Article
- Synthesis of polycationic nanoparticles for microbial inhibition and killing.Nanotheranostics · 2023Article
- Beyond antibiotics: phage-encoded lysins against Gram-negative pathogens.Frontiers in microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increase in antibiotic resistant bacteria poses a threat to the continued use of antibiotics to treat bacterial infections. The overuse and misuse of antibiotics has been identified as a significant driver in the emergence of resistance. Finding optimal treatment regimens is therefore critical in ensuring the prolonged effectiveness of these antibiotics. This study uses mathematical modelling to analyse the effect traditional treatment regimens have on the dynamics of a bacterial infection. Using a novel approach, a genetic algorithm, the study then identifies improved treatment regimens. Using a single antibiotic the genetic algorithm identifies regimens which minimise the amount of antibiotic used while maximising bacterial eradication. Although exact treatments are highly dependent on parameter values and initial bacterial load, a significant common trend is identified throughout the results. A treatment regimen consisting of a high initial dose followed by an extended tapering of doses is found to optimise the use of antibiotics. This consistently improves the success of eradicating infections, uses less antibiotic than traditional regimens and reduces the time to eradication. The use of genetic algorithms to optimise treatment regimens enables an extensive search of possible regimens, with previous regimens directing the search into regions of better performance.
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What OpenQuestion holds
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.