ArticleCPT: pharmacometrics & systems pharmacology2025
Moving From Point-Based Analysis to Systems-Based Modeling: Knowledge Integration to Address Antimicrobial Resistance.
Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Circadian considerations in antimicrobials.European journal of clinical pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optimizing antibiotic therapy requires a holistic bench-to-bedside approach with interdisciplinary collaboration between pharmacologists, clinicians, microbiologists, and computational scientists. Novel experimental models provide insights into drug-pathogen interactions within complex host environments, while multiomics data provide details of the molecular mechanisms shaping bacterial responses. Pharmacometrics and machine learning can be used to integrate these insights into in silico models. This perspective highlights how these approaches-when used effectively and often together to build a systems-level view-can inform drug development and improve clinical decision-making, ensuring the right drug is given to each patient at the right time, at the right dose, and for the right duration.
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.