Evidence map›Paper›PMID 39065544›Full record

ReviewPharmaceutics2024

Assessment of Infant Exposure to Antidepressants through Breastfeeding: A Literature Review of Currently Available Approaches.

Leah Arbitman, Shirley Chen, Brian Kim, Melinda Lee, Peng Zou, Bennett Doughty, Yanyan Li, Tao Zhang

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2024. 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. Machine learning approaches for assessing medication transfer to human breast milk.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  2. 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

8 authors.

Leah ArbitmanSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Shirley ChenSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Brian KimSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Melinda LeeSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Peng ZouDaiichi Sankyo Inc., 211 Mount Airy Road, Basking Ridge, NJ 07920, USA.ORCID 0000-0002-0416-2731
Bennett DoughtySchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Yanyan LiSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.
Tao ZhangSchool of Pharmacy and Pharmaceutical Sciences, SUNY-Binghamton University, 96 Corliss Ave, Johnson City, NY 13790, USA.ORCID 0000-0002-9268-8230

Funding

USA FDA 75F40122C00043, 75F40123C00208
6 · The paper itself

Abstract

Despite the prevalence of depression in lactating mothers, there is a lack of knowledge about the excretion of antidepressants into breast milk and its potential adverse effects on infants. This creates concern, making depressed lactating mothers more likely to avoid pharmacological treatment. Clinical lactation studies are the most accurate and direct method to predict and demonstrate the excretion of antidepressants into human breast milk, and results from clinical studies can be included in drug labels to help physicians and patients make decisions on antidepressant use during lactation. However, there are limited clinical trials and studies on the pharmacokinetics of antidepressants in lactating women because of a lack of enrollment and ethical and confounding factors, creating a lack of knowledge in this area. To bridge this gap in knowledge, alternative methods should be sought to help estimate the antidepressant concentration in breast milk, which is used to assess the safety and transfer of antidepressants into breast milk. We provide a comprehensive review of the usage of these cost-effective, time-efficient, and ethically feasible methods that serve to provide a valuable estimation of the safety and transfer of antidepressants into breast milk before conducting clinical studies.

Indexed as

antidepressantsbreastfeedingdepressionlactationM/P rationursing infant

Identifiers

PMID39065544
PMCPMC11280233

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.