Evidence map›Paper›PMID 42388406›Full record

ReviewFrontiers in pediatrics2026

Clinical study design and modeling approaches to study secretion of drugs in human milk.

Prerna Dodeja, Nupur Chaphekar, Taylor Laffey, Hamdan Albukhaytan, Steve Caritis, Imam Shaik, Raman Venkataramanan

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 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

7 authors.

Prerna DodejaDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.
Nupur ChaphekarDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.
Taylor LaffeyDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.
Hamdan AlbukhaytanDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.
Steve CaritisDepartment of Obstetrics, Gynecology and Reproductive Sciences, Magee Women's Hospital, Pittsburgh, PA, United States.
Imam ShaikDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.
Raman VenkataramananDepartment of Pharmaceutical Sciences, University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breastfeeding has a multitude of benefits for both the lactating mother and her infant. However, lactating women often require medications for chronic and acute medical conditions, which may pose a significant risk due to drug transfer to infants via breastfeeding. Although most drugs may pass into human milk via passive diffusion, this should rarely be a reason to completely stop breastfeeding. Drug secretion into human milk is an area of research with a paucity of data. Performing clinical studies in lactating women is essential for understanding infant drug safety. However, it is practically challenging to enroll lactating women in these studies solely for the purpose of quantifying drug transfer into human milk. In the absence of clinical studies, non-clinical models-including

Indexed as

clinical studyhuman milklactationnon-clinical modelspharmacokinetic modelingphysiologically based pharmacokinetic modelingpopulation pharmacokinetic modeling

Identifiers

PMID42388406
PMCPMC13318911

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.