ArticleAntimicrobial agents and chemotherapy2020
Model-Informed Drug Development, Pharmacokinetic/Pharmacodynamic Cutoff Value Determination, and Antibacterial Efficacy of Benapenem against
Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Systematic review of antimicrobial pharmacokinetic/pharmacodynamic indices in murine thigh and hollow fibre dose fractionation studies analysed with a standard method.The Journal of antimicrobial chemotherapy · 2026Pooled it
- Model-informed drug development in public health emergency of international concern: accelerating marketing authorization of simnotrelvir.Antimicrobial agents and chemotherapy · 2025Trial
- Pharmacokinetics of benapenem for injection in subjects with mild to moderate renal impairment.European journal of clinical pharmacology · 2022Trial
- The Role of Pyrrolidine in Antibacterial Drug Discovery: Clinically Approved Antibiotics, Novel Derivatives, and Future Perspectives.International journal of molecular sciences · 2026Review
- Model-guided dose optimization of cefoperazone-sulbactam and levofloxacin for pneumonia and urinary tract infections in patients with hepatic dysfunction.American journal of translational research · 2026Article
- Novel Antimicrobial Agents for Gram-Negative Pathogens.Antibiotics (Basel, Switzerland) · 2023Review
- Fighting antibiotic resistance-strategies and (pre)clinical developments to find new antibacterials.EMBO reports · 2023Review
- Model-Informed Drug Development of New Cefoperazone Sodium and Sulbactam Sodium Combination (3:1): Pharmacokinetic/Pharmacodynamic Analysis and Antibacterial Efficacy Against Enterobacteriaceae.Frontiers in pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Benapenem is a novel carbapenem. The objective of this study was to determine the pharmacokinetic (PK)/pharmacodynamic (PD) cutoff values and evaluate the optimal administration regimens of benapenem for the treatment of bacterial infections via PK/PD modeling and simulation. Ertapenem was used as a control. Infected mice received an intravenous (i.v.) injection of benapenem or ertapenem of 14.6, 58.4, or 233.6 mg/kg of body weight, and the PK/PD profiles were evaluated. The MICs were determined by using a 2-fold agar dilution method. Mathematical models were developed to characterize the pharmacokinetic profile of benapenem in humans and mice. Monte Carlo simulations were employed to determine the cutoff values and the appropriate benapenem dosing regimens for the treatment of infections caused by clinical isolates of
Indexed as
Identifiers
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.