Evidence map›Paper›PMID 41892415›Full record

ReviewAntibiotics (Basel, Switzerland)2026

Proactive Therapeutic Drug Monitoring of Dalbavancin in the Long-Term Treatment of Chronic Infections: A Narrative Review.

Dario Cattaneo, Jessica Cusato

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Dario CattaneoDepartment of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy.ORCID 0000-0003-1512-6530
Jessica CusatoDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0003-1977-9694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dalbavancin is a long-acting lipoglycopeptide antibiotic increasingly off-label used for the management of complex and chronic Gram-positive infections, including osteoarticular, prosthetic, and cardiovascular device-related infections. While its prolonged half-life enables infrequent dosing, marked inter-individual pharmacokinetic variability has been documented during extended treatment courses, potentially resulting in suboptimal exposure. This narrative review explores the role of proactive therapeutic drug monitoring (TDM) as a strategy to individualize dalbavancin dosing in patients requiring long-term therapy. We summarized current evidence on pharmacokinetic determinants of dalbavancin exposure, including renal function, body weight, and hypoalbuminemia, and discussed proposed pharmacokinetic/pharmacodynamic targets to support TDM implementation. Available analytical methods for dalbavancin quantification and clinical experiences with TDM-guided dosing are reviewed, highlighting their impact on optimizing injection timing and maintaining adequate drug concentrations over prolonged periods. In addition, emerging model-informed precision dosing approaches, such as Bayesian forecasting and machine learning-based tools, are discussed as promising strategies to further refine exposure prediction and re-dosing decisions. Overall, proactive TDM represents a valuable tool for optimizing dalbavancin therapy in chronic infections, although prospective multicenter studies are needed to validate target thresholds and standardized implementation strategies.

Indexed as

chronic infectionsdalbavancinpharmacodynamicspharmacokineticstherapeutic drug monitoring

Identifiers

PMID41892415
PMCPMC13024627

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.