Evidence map›Paper›PMID 42221906›Full record

ArticleVeterinary and animal science2026

Predicted PK/PD inadequacy of amoxicillin delivered in drinking water against respiratory pathogens in post-weaning piglets: can time-restricted dosing improve animals' exposure and potential treatment efficacy?

Marine Lacampagne, Gwendoline Hervé, Lucie Claustre, Natasha Jourdannaud, Marlène Lacroix, Béatrice Roques

Abstract read
In one paragraph

Article in Veterinary and animal science, 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

6 authors.

Marine LacampagneINTHERES, Université de Toulouse, INRAE, ENVT, 23 chemin des Capelles, Toulouse, France.
Gwendoline HervéIFIP, Institut du Porc, 9 boulevard du Trieux 35740 Pacé, France.
Lucie ClaustreINTHERES, Université de Toulouse, INRAE, ENVT, 23 chemin des Capelles, Toulouse, France.
Natasha JourdannaudINTHERES, Université de Toulouse, INRAE, ENVT, 23 chemin des Capelles, Toulouse, France.
Marlène LacroixINTHERES, Université de Toulouse, INRAE, ENVT, 23 chemin des Capelles, Toulouse, France.
Béatrice RoquesINTHERES, Université de Toulouse, INRAE, ENVT, 23 chemin des Capelles, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective treatments via drinking water allow rapid and targeted treatment of many animals as soon as disease is detected, but inter-animal variability in drinking behaviour can lead to over- or under-exposure. We therefore developed a pharmaco-statistical model integrating real-time individual water consumption to simulate amoxicillin plasma concentrations and assess actual treatment efficacy. One hundred fifty piglets received amoxicillin (10 mg/kg/day, 2.5-3 days) via drinking water under continuous, daytime, or night-time treatment, and water and blood samples were collected. Using individual drinking profiles and pharmacokinetic parameters, we simulated plasma concentrations in a virtual population of 5000 piglets per modality to compared with the obtained actual plasma concentrations. We then estimated the proportion of adequately treated animals by comparing modelled plasma concentrations with MICs for five major respiratory pathogens. Amoxicillin treatment was effective in at least 80% of piglets only for one of the five targeted pathogens,

Indexed as

AmoxicillinDrinking-waterEfficacyMICModelingPharmacokineticsPiglets

Identifiers

PMID42221906
PMCPMC13218230

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.