Evidence map›Paper›PMID 39172334›Full record

ArticleClinical pharmacokinetics2024

Population Pharmacokinetics and Pharmacodynamics of Dalbavancin and C-Reactive Protein in Patients with Staphylococcal Osteoarticular Infections.

Pier Giorgio Cojutti, Sara Tedeschi, Eleonora Zamparini, Pierluigi Viale, Federico Pea

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Article in Clinical pharmacokinetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Pier Giorgio CojuttiDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy. piergiorgio.cojutti@unibo.it.ORCID 0000-0001-7135-4410
Sara TedeschiDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Eleonora ZampariniInfectious Diseases Unit, Department for Integrated Infectious Risk Management, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Pierluigi VialeDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Federico PeaDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveDalbavancin is increasingly used for the long-term treatment of chronic osteoarticular infections. A population pharmacokinetic/pharmacodynamic (PK/PD) analysis for assessing the relationship between dalbavancin exposure and C-reactive protein (C-RP) over time was conducted.

methodsNon-linear mixed-effect modeling was fitted to dalbavancin and C-RP concentrations. Monte Carlo simulations assessed the weekly percentage of C-RP reduction associated with different dosing regimens, starting from baseline to < 1 mg/dL.

resultsA total of 45 patients were retrospectively included in the analysis. The PK of dalbavancin was described by a two-compartment model, and the PD of C-RP was described by an indirect turnover maximum inhibition model. The total dalbavancin concentration model estimate producing 50% of maximum C-RP production inhibition (IC

conclusionsA decrease in C-RP is related to dalbavancin exposure in osteoarticular infections. Targeting dalbavancin plasma concentrations above the efficacy threshold may be associated with effective treatment.

Indexed as

Anti-Bacterial AgentsC-Reactive ProteinStaphylococcal InfectionsTeicoplaninAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedModels, BiologicalMonte Carlo MethodRetrospective StudiesAnti-Bacterial AgentsC-Reactive ProteindalbavancinTeicoplanin

Identifiers

PMID39172334
PMCPMC11449996

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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.