Evidence map›Paper›PMID 41961338›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2026

Mitigating antibiotic resistance from missed doses.

J Alexander Gilsoul, Hwai-Ray Tung, Sean D Lawley

Abstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 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

3 authors.

J Alexander GilsoulDepartment of Mathematics, University of Utah, Salt Lake City, UT, 84112, USA.
Hwai-Ray TungDepartment of Mathematics, University of Utah, Salt Lake City, UT, 84112, USA.
Sean D LawleyDepartment of Mathematics, University of Utah, Salt Lake City, UT, 84112, USA. lawley@math.utah.edu.

Funding

Division of Mathematical Sciences 2325258
6 · The paper itself

Abstract

Medication nonadherence and antibiotic resistance are well-recognized threats to public health. In this paper, we use modeling and simulation to investigate how nonadherence affects the emergence of antibiotic resistance. Using a pharmacokinetic (PK) and pharmacodynamic (PD) model that tracks the stochastic bacteria population, we find that (a) missing just one or two doses may significantly increase the risk of resistance, and (b) this risk can be alleviated by taking double doses after missed doses. Furthermore, we quantify how such double dosing increases the antibiotic plasma concentration based on the antibiotic half-life and dosing schedule. Though the effects of missed doses depend on PKPD parameters, this study presents a framework to probe how adherence affects resistance for specific antibiotics. More generally, our results highlight the need to reexamine conventional recommendations for handling missed doses.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialModels, BiologicalComputer SimulationDose-Response Relationship, DrugDrug Administration ScheduleHalf-LifeHumansAnti-Bacterial Agents

Identifiers

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.