Evidence map›Paper›PMID 39858377›Full record

ReviewAntibiotics (Basel, Switzerland)2025

PK/PD-Guided Strategies for Appropriate Antibiotic Use in the Era of Antimicrobial Resistance.

Tetsushu Onita, Noriyuki Ishihara, Takahisa Yano

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Challenges and opportunities in the management of severe pneumonia. Key concepts from the Seventh Annual Meeting of Spanish Experts 2025.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Targeting Oral Pathogens withAntibiotics (Basel, Switzerland) · 2025
    Article
  17. Article
  18. Review
  19. 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

3 authors.

Tetsushu OnitaDepartment of Pharmacy, Shimane University Hospital, 89-1 Enya, Izumo 693-8501, Shimane, Japan.ORCID 0000-0003-1174-0787
Noriyuki IshiharaDepartment of Pharmacy, Shimane University Hospital, 89-1 Enya, Izumo 693-8501, Shimane, Japan.ORCID 0000-0002-1144-3929
Takahisa YanoDepartment of Pharmacy, Shimane University Hospital, 89-1 Enya, Izumo 693-8501, Shimane, Japan.ORCID 0000-0002-3385-6126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a critical global health threat, necessitating the optimal use of existing antibiotics. Pharmacokinetic/pharmacodynamic (PK/PD) principles provide a scientific framework for optimizing antimicrobial therapy, particularly to respond to evolving resistance patterns. This review examines PK/PD strategies for antimicrobial dosing optimization, focusing on three key aspects. First, we discuss the importance of drug concentration management for enhancing efficacy while preventing toxicity, considering various patient populations, including pediatric and elderly patients with their unique physiological characteristics. Second, we analyze different PK modeling approaches: the classic top-down approach exemplified by population PK analysis, the bottom-up approach represented by physiologically based PK modeling, and hybrid models combining both approaches for enhanced predictive performance. Third, we explore clinical applications, including nomogram-based dosing strategies, Bayesian estimation, and emerging artificial intelligence applications, for real-time dose optimization. Critical challenges in implementing PK/PD simulation are addressed, particularly the selection of appropriate PK models, the optimization of PK/PD indices, and considerations concerning antimicrobial concentrations at infection sites. Understanding these principles and challenges is crucial for optimizing antimicrobial therapy and combating AMR through improved dosing strategies.

Indexed as

antimicrobial resistancedose optimizationpharmacodynamicspharmacokineticspopulation modelingtherapeutic drug monitoring

Identifiers

PMID39858377
PMCPMC11759776

What OpenQuestion holds

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Registered trials

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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.