Evidence map›Paper›PMID 35076931›Full record

SynthesisClinical pharmacology and therapeutics2022

Development of a Generic Physiologically-Based Pharmacokinetic Model for Lactation and Prediction of Maternal and Infant Exposure to Ondansetron via Breast Milk.

Kathleen M Job, André Dallmann, Samuel Parry, George Saade, David M Haas, Brenna Hughes, Pamela Berens, Jia-Yu Chen, Christina Fu, Kelsey Humphrey and 4 more

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Best Practices in Physiologically Based Pharmacokinetic (PBPK) Modeling.CPT: pharmacometrics & systems pharmacology · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Transporters and drug secretion into human breast milk.Expert opinion on drug metabolism & toxicology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

14 authors at 10 institutions in 2 countries.

Kathleen M JobDivision of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA.
André DallmannPharmacometrics/Modeling & Simulation, Research & Development, Bayer AG, Leverkusen, Germany.
Samuel ParryDivision of Maternal-Fetal Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
George SaadeUniversity of Texas Medical Branch-Galveston, Galveston, Texas, USA.
David M HaasIndiana University School of Medicine, Indianapolis, Indiana, USA.
Brenna HughesDepartment of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA.
Pamela BerensMcGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Jia-Yu ChenThe Emmes Company, LLC, Rockville, Maryland, USA.
Christina FuThe Emmes Company, LLC, Rockville, Maryland, USA.
Kelsey HumphreyThe Emmes Company, LLC, Rockville, Maryland, USA.
Christoph HornikDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Stephen BalevicDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Kanecia ZimmermanDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Kevin WattDivision of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA.
Clinical Research Institute · USEmmes (United States) · USBayer (Germany) · DEDuke University · USIndiana University School of MedicineThe University of Texas Health Science Center at Houston · USThe University of Texas Medical Branch at Galveston · USUniversity of Pennsylvania · USUniversity of Utah · USUniversity of Utah Hospital · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Home vs. Clinic Collection of Human Milk in Evaluating the Pharmacokinetics of Four MedicationsR21HD104412 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAMBERS, CHRISTINA, WATT, KEVIN M · 2021 to 2022
$682k
NCATS NIH HHS UL1 TR002538NIAAA NIH HHS HHSN275201000003CNICHD NIH HHS HHSN275201000003INICHD NIH HHS HHSN275201700002CNICHD NIH HHS R21 HD104412
6 · The paper itself

Abstract

Ondansetron is commonly used in breastfeeding mothers to treat nausea and vomiting. There is limited information in humans regarding safety of ondansetron exposure to nursing infants and no adequate study looking at ondansetron pharmacokinetics during lactation. We developed a generic physiologically-based pharmacokinetic lactation model for small molecule drugs and applied this model to predict ondansetron transfer into breast milk and characterize infant exposure. Drug-specific model inputs were parameterized using data from the literature. Population-specific inputs were derived from a previously conducted systematic literature review of anatomic and physiologic changes in postpartum women. Model predictions were evaluated using ondansetron plasma and breast milk concentration data collected prospectively from 78 women in the Commonly Used Drugs During Lactation and infant Exposure (CUDDLE) study. The final model predicted breast milk and plasma exposures following a single 4 mg dose of intravenous ondansetron in 1,000 simulated women who were 2 days postpartum. Model predictions showed good agreement with observed data. Breast milk median prediction error (MPE) was 18.4% and median absolute prediction error (MAPE) was 53.0%. Plasma MPE was 32.5% and MAPE was 43.2%. The model-predicted daily and relative infant doses were 0.005 mg/kg/day and 3.0%, respectively. This model adequately predicted ondansetron passage into breast milk. The calculated low relative infant dose indicates that mothers receiving ondansetron can safely breastfeed. The model building blocks and population database are open-source and can be adapted to other drugs.

Indexed as

Milk, HumanOndansetronBreast FeedingFemaleHumansInfantLactationPostpartum PeriodOndansetron

Identifiers

PMID35076931
PMCPMC10267851
OpenAlexW4206935407

What OpenQuestion holds

Textmetadata
LicenceTDM
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.