Evidence map›Paper›PMID 36976722›Full record

ArticlePediatric reports2023

Impact of Prenatal Health Conditions and Health Behaviors in Pregnant Women on Infant Birth Defects in the United States Using CDC-PRAMS 2018 Survey.

Girish Suresh Shelke, Rochisha Marwaha, Pankil Shah, Suman N Challa

Open access · goldAbstract read
In one paragraph

Article in Pediatric reports, 2023. 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
0.9field-weighted citation impact, top 28% 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, 3 citations in OpenAlex.

  1. Review
  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

4 authors at 1 institution in 1 country.

Girish Suresh ShelkeHelping Restore Ability, Arlington, TX 76018, USA.ORCID 0000-0001-6466-1607
Rochisha MarwahaSchool of Dentistry, University of Texas Health Science Center San Antonio, University of Texas, San Antonio, TX 78229, USA.
Pankil ShahDepartment of Urology, University of Texas Health Science Center San Antonio, University of Texas, San Antonio, TX 78229, USA.
Suman N ChallaSchool of Dentistry, University of Texas Health Science Center San Antonio, University of Texas, San Antonio, TX 78229, USA.
The University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess both individual and interactive effects of prenatal medical conditions depression and diabetes, and health behaviors including smoking during pregnancy on infant birth defects.

methodsThe data for this research study were collected by the Pregnancy Risk Assessment Monitoring System (PRAMS) in 2018. Birth certificate records were used in each participating jurisdiction to select a sample representative of all women who delivered a live-born infant. Complex sampling weights were used to analyze the data with a weighted sample size of 4,536,867. Descriptive statistics were performed to explore frequencies of the independent and dependent variables. Bivariate and multivariable analyses were conducted to examine associations among the independent and dependent variables.

resultsThe results indicate significant interaction between the variables smoking and depression and depression and diabetes (OR = 3.17;

conclusionDepression during pregnancy and its interaction with smoking and diabetes are vital in determining birth defects in infants. The results indicate that birth defects in the United States can be reduced by lowering depression in pregnant women.

Indexed as

birth defectdepressiondiabetesnationalPRAMS (Pregnancy Risk Assessment Monitoring System)pregnancysmoking

Identifiers

PMID36976722
PMCPMC10054588
OpenAlexW4322742862

What OpenQuestion holds

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LicenceCC BY
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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.