Evidence map›Paper›PMID 41924549›Full record

ArticleDrug design, development and therapy2026

Advancing Daptomycin Precision Dosing Through Evaluation of Published Population Pharmacokinetic Models and Development of a Dosing Tool.

Xi Xie, Cheng Qian, Sonia Luque, Li Liu, Jiayu Chen, Carla Comajuan Mendoza, Luisa Sorli, Huamin Yuan, Chen Ma, Lin Ren and 4 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Xi Xie *Department of Clinical Laboratory, Hunan Prevention and Treatment Institute for Occupational Diseases, Affiliated Prevention and Treatment Institute for Occupational Diseases of University of South China, Changsha, People's Republic of China.
Cheng Qian *Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.
Sonia LuqueInfectious Pathology and Antimicrobials Research Group (IPAR), Institute Hospital Del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
Li LiuThe Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, People's Republic of China.
Jiayu ChenDepartment of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.
Carla Comajuan MendozaInfectious Pathology and Antimicrobials Research Group (IPAR), Institute Hospital Del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.ORCID 0009-0004-2558-4804
Luisa SorliInfectious Pathology and Antimicrobials Research Group (IPAR), Institute Hospital Del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
Huamin YuanDepartment of Clinical Laboratory, Hunan Prevention and Treatment Institute for Occupational Diseases, Affiliated Prevention and Treatment Institute for Occupational Diseases of University of South China, Changsha, People's Republic of China.
Chen MaDepartment of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.
Lin RenDepartment of Pharmacy, The First Affiliated Hospital of Soochow University, Soochow, People's Republic of China.
Nuo XuDepartment of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.
Gehang JuInstitute of Big Data, Central South University, Changsha, People's Republic of China.
Xiao ZhuDepartment of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.
Xin LiuDepartment of Clinical Pharmacy and Pharmacy Administration, School of Pharmaceutical Sciences, Fudan University, Shanghai, People's Republic of China.ORCID 0009-0009-5595-3195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Daptomycin is an important antibiotic against multidrug-resistant Gram-positive infections, but its wide interindividual variability and narrow therapeutic window pose challenges for optimal dosing. Population pharmacokinetic (PopPK) models provide a quantitative framework for precision dosing, yet a systematic evaluation of existing models and their clinical application method remains lacking. Methods: Model structures, demographic characteristics, and covariate effects were systematically summarized from previously published papers. Predictive performance was compared through simulations in virtual populations with varying renal function. Monte Carlo simulations were performed to evaluate the probability of target attainment (PTA; AUC24 Results: Eighteen PopPK studies were included in this analysis. Renal function was the most frequently identified covariate influencing clearance. Model comparisons revealed variability in predicting exposure and PTA. Simulations indicated that patients with impaired renal function face a higher risk of exceeding the toxicity threshold, even at moderate doses. The developed Shiny-based tool enables real-time estimation of AUC and Cmin, integration of therapeutic drug monitoring data, and individualized dose adjustment. Conclusion: This study provides a comprehensive evaluation of daptomycin PopPK models and translates these findings into a practical precision dosing tool. This work enhances understanding of interindividual variability of daptomycin and offers clinicians a scientifically grounded resource to optimize daptomycin therapy in diverse patient populations.

Indexed as

Anti-Bacterial AgentsDaptomycinModels, BiologicalBayes TheoremDose-Response Relationship, DrugHumansMicrobial Sensitivity TestsMonte Carlo MethodAnti-Bacterial AgentsDaptomycindaptomycinpopulation pharmacokineticprecision dosingrenal impairment

Identifiers

PMID41924549
PMCPMC13037535

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.