Evidence map›Paper›PMID 38342572›Full record

ArticleThe journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians2024

Timing of selective serotonin reuptake inhibitor use and risk for preterm birth and related adverse events: with a consideration of the COVID-19 pandemic period.

Yeon Mi Hwang, Ryan T Roper, Samantha N Piekos, Daniel A Enquobahrie, Mary F Hebert, Alison G Paquette, Priyanka Baloni, Nathan D Price, Leroy Hood, Jennifer J Hadlock

Open access · diamondAbstract read
In one paragraph

Article in The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
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

10 authors at 5 institutions in 1 country.

Yeon Mi HwangInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-4193-8623
Ryan T RoperInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0003-0086-7029
Samantha N PiekosInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-8119-6724
Daniel A EnquobahrieDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9844-0597
Mary F HebertDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, USA.ORCID 0000-0002-1854-1214
Alison G PaquetteDepartment of Pediatrics, School of Medicine, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6065-9398
Priyanka BaloniSchool of Health Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-3382-4941
Nathan D PriceInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-4157-0267
Leroy HoodInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0001-7158-3678
Jennifer J HadlockInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0001-6103-7606
Institute for Systems Biology · USUniversity of Washington · USProvidence College · USPurdue University West Lafayette · USSeattle Children's Hospital · US

Funding

Harnessing "omics": A Systems Biology approach to discovery of biologicalpathways in placental development and parturitionR01HD091527 · NICHD · UNIVERSITY OF FLORIDA · PI BALONI, PRIYANKA, JONES, HELEN N · 2017 to 2021
$2.7M
Enhancing personalized insights into common obstetric disorders using longitudinal deep-phenotyping dataK99HD112600 · NICHD · INSTITUTE FOR SYSTEMS BIOLOGY · PI PIEKOS, SAMANTHA · 2023 to 2024
$286k
NICHD NIH HHS K99 HD112600NICHD NIH HHS R01 HD091527
6 · The paper itself

Abstract

objectiveThere is uncertainty around the safety of SSRIs for treating depression during pregnancy. Nevertheless, the use of SSRIs has been gradually increasing, especially during the COVID-19 pandemic period. We aimed to (1) characterize maternal depression rate and use of SSRIs in a recent 10-year period, (2) address confounding by indication, as well as socioeconomic and environmental factors, and (3) evaluate associations of the timing of SSRI exposure in pregnancy with risk for preterm birth (PTB), low birthweight (LBW), and small for gestational age (SGA) infants among women with depression before pregnancy.

methodsWe conducted propensity score-adjusted regression to calculate odds ratios (ORs) of PTB, LBW, and SGA. We accounted for maternal/pregnancy characteristics, comorbidity, depression severity, time of delivery, social vulnerability, and rural residence.

resultsThere were 50.3% and 40.3% increases in the prevalence rate of prenatal depression and prenatal SSRI prescription rate during the pandemic. We identified women with depression ≤180 days before pregnancy (

conclusionsThese findings suggest an association between PTB/LBW and SSRI exposure is dependent on exposure timing during pregnancy. Small for gestational age is not associated with SSRI exposure.

Indexed as

COVID-19Infant, Newborn, DiseasesPregnancy ComplicationsPremature BirthFemaleFetal Growth RetardationHumansInfantInfant, NewbornPandemicsPregnancySelective Serotonin Reuptake InhibitorsSelective Serotonin Reuptake InhibitorsCOVID-19infant, low birth weightinfant, small for gestational agematernal depressionPreterm birthserotonin uptake inhibitors

Identifiers

PMID38342572
PMCPMC11033706
OpenAlexW4392730442

What OpenQuestion holds

Textmetadata
LicenceTDM
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.