Evidence map›Paper›PMID 41574863›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Development of a Pregnancy-Specific Physiologically Based Pharmacokinetics (PBPK) Model for Aspirin.

Ana Collins-Smith, Ananth Kumar Kammala, Mitch A Phelps, Xiao Ming Wang, Ramkumar Menon, Maged M Costantine

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Ana Collins-SmithDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA.ORCID https://orcid.org/0000-0002-5668-9738
Ananth Kumar KammalaDivision of Basic Science & Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA.ORCID https://orcid.org/0000-0001-5300-2083
Mitch A PhelpsThe Division of Pharmaceutics and Pharmacology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-1615-5280
Xiao Ming WangDivision of Basic Science & Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA.
Ramkumar MenonDivision of Basic Science & Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA.
Maged M CostantineThe Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, College of Medicine, The Ohio State University, Columbus, Ohio, USA.

Funding

Developing Extracellular Vesicle Based MPRINT Translational Resource Platform for Monitoring Therapeutics Response During PregnancyR24HD113024 · NICHD · OHIO STATE UNIVERSITY · PI Maged Costantine, RAMKUMAR MENON · 2023 to 2026
$3.8M
NICHD NIH HHS R24 HD113024
6 · The paper itself

Abstract

Aspirin is one of the most commonly used medications in pregnancy, particularly for the prevention of hypertensive disorders. Despite aspirin's widespread use in pregnancy for preeclampsia prevention, its pharmacokinetics (PK) across all trimesters remain poorly characterized, complicating optimal dosing recommendations. To develop a pregnancy-specific physiologically based pharmacokinetic (PBPK) model for aspirin that could be individualized to patient-specific parameters, illustrating differences in aspirin PK across the different trimesters of pregnancy. A PBPK model was developed using GastroPlus (a mechanistically driven simulation software) for nonpregnant and pregnant people at each trimester of pregnancy. The nonpregnant PBPK model was first established and validated against existing data from healthy adult volunteers. Once validated, the model was adapted for pregnant people and verified using observed pharmacokinetic profiles. The simulated PK parameters of aspirin in pregnant and nonpregnant women closely matched the clinical observations reported in the literature, with fold errors ≤ 1.04 (less than 1.5 is considered an acceptable simulation model). The predicted systemic exposure (AUC

Indexed as

AspirinModels, BiologicalAdultComputer SimulationFemaleHumansPregnancyPregnancy TrimestersAspirinaspirindosemodelingPBPKpharmacokinetics

Identifiers

PMID41574863
PMCPMC12896365

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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.