Evidence map›Paper›PMID 29651785›Full record

ArticleClinical pharmacokinetics2018

Predicting Escitalopram Exposure to Breastfeeding Infants: Integrating Analytical and In Silico Techniques.

Sarah R Delaney, Paul R V Malik, Cristiana Stefan, Andrea N Edginton, David A Colantonio, Shinya Ito

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Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Sarah R DelaneyDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Paul R V MalikSchool of Pharmacy, University of Waterloo, Waterloo, ON, Canada.
Cristiana StefanCentre for Addiction and Mental Health, Toronto, ON, Canada.
Andrea N EdgintonSchool of Pharmacy, University of Waterloo, Waterloo, ON, Canada.
David A ColantonioDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Shinya ItoDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada. shinya.ito@sickkids.ca.
University of Toronto · CAUniversity of Waterloo · CACentre for Addiction and Mental Health · CAHospital for Sick Children · CA

Funding

CIHR DSA 263431
6 · The paper itself

Abstract

backgroundEscitalopram is used for post-partum depression; however, there are limited pharmacokinetic data of escitalopram in milk and plasma of infants breastfed by women taking the drug.

objectiveThe objective of this study was to apply physiologically-based pharmacokinetic (PBPK) modelling to predict infant drug exposure (plasma area under the curve from time zero to infinity [AUC

methodsUsing a newly developed liquid chromatography-tandem mass spectrometry (LC-MS/MS) method, we quantified escitalopram concentrations in milk samples of 18 breastfeeding women with escitalopram therapy at steady state, collected at three to five time points. The escitalopram concentrations in breast milk were used with infant feeding parameters from the literature to simulate infant daily dose. We used PK-Sim

resultsEscitalopram concentrations in milk were 50 ± 17 ng/mL (mean ± standard deviation). The simulated infant plasma AUC

conclusionsInfant exposure levels to escitalopram in breast milk are low. A PBPK modeling approach can be used to translate data on drug monitoring in milk into a population distribution of infant plasma levels for drug safety assessment.

Indexed as

Breast FeedingModels, BiologicalAdultArea Under CurveChromatography, LiquidCitalopramComputer SimulationDepression, PostpartumDrug MonitoringFemaleHumansInfantInfant, NewbornLactationMilk, HumanSelective Serotonin Reuptake InhibitorsCitalopramSelective Serotonin Reuptake Inhibitors

Identifiers

PMID29651785
OpenAlexW2797029234

What OpenQuestion holds

Textmetadata
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.