Evidence map›Paper›PMID 28600701›Full record

ReviewEuropean journal of clinical pharmacology2017

The impact of exposure to antidepressant medications during pregnancy on neonatal outcomes: a review of retrospective database cohort studies.

Casey R Tak, Kathleen M Job, Katie Schoen-Gentry, Sarah C Campbell, Patrick Carroll, Maged Costantine, Diana Brixner, Angela K Birnbaum, Catherine M T Sherwin

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

9 authors at 4 institutions in 1 country.

Casey R TakPharmacotherapy Outcomes Research Center, Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA.
Kathleen M JobDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah of Medicine, SLC, Utah 295 Chipeta Way, Salt Lake City, UT, 84108, USA.
Katie Schoen-GentryDepartment of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA.
Sarah C CampbellNelson Laboratories, Salt Lake City, UT, USA.
Patrick CarrollWomen and Newborn Clinical Program, Department of Pediatrics, Dixie Regional Medical Center, Intermountain Healthcare, St. George, UT, USA.
Maged CostantineDepartment of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA.
Diana BrixnerPharmacotherapy Outcomes Research Center, Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA.
Angela K BirnbaumDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA.
Catherine M T SherwinClinical Trials Office, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA. Catherine.sherwin@hsc.utah.edu.
University of Utah · USIntermountain St. George Regional Hospital · USThe University of Texas Medical Branch at Galveston · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionConcerns with prescription antidepressant use in pregnant women have instigated the examination of potential associations between fetal exposure to antidepressant medication and outcomes including preterm delivery, congenital malformations, perinatal and post-natal adverse events, persistent pulmonary hypertension, and mortality. The retrospective cohort model is an often utilized study design. The objective of this review is to evaluate the literature on antidepressant use in pregnancy conducted as retrospective cohorts in national/regional medical, or claims databases that assess neonatal and infant outcomes for agreement between studies, ultimately providing a methodological and outcomes summary for future scientific endeavors.

methodsPubMed was searched for literature relating to antidepressant use and infant outcomes from the earliest available date through July 15, 2016. Studies with a retrospective cohort design and conducted in national/regional medical or claims databases were included. Searched outcomes included preterm delivery, congenital malformations, low birth weight, small for gestational age, persistent pulmonary hypertension of the newborn, and other select adverse events comprising low Apgar score (5 min), convulsions/seizures, respiratory distress/problems, fetal mortality, and infant mortality.

resultsOf the 784 studies identified, 36 retrospective cohort studies met eligibility criteria. An increase in preterm delivery and respiratory distress/problems and no increase in congenital malformation or fetal and infant death were associated with prenatal use of prescription antidepressants by majority consensus (at least 2/3 [67%] of studies).

conclusionsWhile consensus indicates that perinatal prescription antidepressant use has consequences for the fetus and infant, there are notable inconsistencies in the literature. More investigations that address prenatal exposure to depression and other important covariates are needed.

Indexed as

Antidepressive AgentsCongenital AbnormalitiesDatabases, FactualFemaleHumansHypertension, PulmonaryInfant, Low Birth WeightInfant, NewbornObstetric Labor, PrematurePregnancyRespiration DisordersSeizuresAntidepressive AgentsAntidepressantsDatabaseMaternal-fetal pharmacologyNeonatal outcomesPregnancyRetrospective cohort study

Identifiers

PMID28600701
OpenAlexW2622412817

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.