Evidence map›Paper›PMID 39926948›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Pharmacokinetics of Maternal Drug Administration: Insights into Placental Transfer and Fetal Exposure.

Abdullah Duhaim, Tariq Abdullah Almatroudi, Zaiad Abdullah Alghidani, Abdulsalam Saad Alhunayni, Mohamed Helmy Salama

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Abdullah DuhaimDepartment of Pharmacy, College of Pharmacy, PharmD program, Qassim University, Saudi Arabia.
Tariq Abdullah AlmatroudiDepartment of Pharmacy, College of Pharmacy, PharmD program, Qassim University, Saudi Arabia.
Zaiad Abdullah AlghidaniDepartment of Pharmacy, College of Pharmacy, PharmD program, Qassim University, Saudi Arabia.
Abdulsalam Saad AlhunayniDepartment of Pharmacy, College of Pharmacy, PharmD program, Qassim University, Saudi Arabia.
Mohamed Helmy SalamaDepartment of Preventive Dental Sciences, College of Dentistry, Majmaah University, AL-Majmaah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy profoundly influences the pharmacokinetics of maternally administered drugs, necessitating a comprehensive understanding of placental transfer and fetal exposure for safe and effective drug therapy. This review provides an updated overview of recent advancements in the field, comprising placental anatomy and physiology, pharmacokinetic changes during pregnancy, factors affecting placental transfer, techniques for studying transfer mechanisms, and clinical implications for maternal and fetal health. Recent discoveries explaining placental structure, function, and molecular transport mechanisms underscore the complexity of drug transfer across the placental barrier. Advances in pharmacokinetic research reveal dynamic alterations in drug absorption, distribution, metabolism, and excretion during pregnancy, which impact therapeutic drug levels and maternal-fetal outcomes. Factors influencing placental transfer, including drug properties, placental transporters, and maternal-fetal physiology, are increasingly recognized as critical determinants of fetal exposure. Innovative methodologies and technologies facilitate the study of placental drug transport, offering insights into drug-specific transfer kinetics and developmental risks.

Indexed as

Maternal drug administrationpharmacokineticsplacental transfer

Identifiers

PMID39926948
PMCPMC11805188

What OpenQuestion holds

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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.