Evidence map›Paper›PMID 39322018›Full record

ArticleAmerican journal of obstetrics and gynecology2025

Genetic disorders and their association with morbidity and mortality in early preterm small for gestational age infants.

Miles Bomback, Selin Everett, Alex Lyford, Rakesh Sahni, Faith Kim, Caitlin Baptiste, Joshua E Motelow, Veeral Tolia, Reese Clark, Lorraine Dugoff and 1 more

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Genetic Disorders Detectable by Fetal MRI: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Review
  4. Observational
  5. 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

11 authors.

Miles BombackFeinberg School of Medicine, Northwestern University, Chicago, IL.
Selin EverettDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Washington Medical Center, Seattle, WA.
Alex LyfordDepartment of Mathematics, Middlebury College, Middlebury, VT.
Rakesh SahniDivision of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York City, NY.
Faith KimDivision of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York City, NY.
Caitlin BaptisteDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Medical Center, New York City, NY.
Joshua E MotelowDivision of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Medical Center, New York City, NY.
Veeral ToliaThe Pediatrix Center for Research, Education, Quality and Safety, Sunrise, FL; Division of Neonatology, Department of Pediatrics, Baylor University Medical Center, Dallas, TX; Pediatrix Medical Group, Dallas, TX.
Reese ClarkThe Pediatrix Center for Research, Education, Quality and Safety, Sunrise, FL.
Lorraine DugoffDivisions of Reproductive Genetics and Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA.
Thomas HaysDivision of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York City, NY. Electronic address: th2712@cumc.columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
The Genetic Basis of Morbidity and Mortality in Small for Gestational Age Preterm InfantsK23HD113827 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Thomas Hays · 2023 to 2026
$666k
Genetic Risk Underlying Pediatric Critical IllnessK08HG012374 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOTELOW, JOSHUA ETHAN · 2023 to 2025
$633k
NCATS NIH HHS UL1 TR001873NHGRI NIH HHS K08 HG012374NICHD NIH HHS K23 HD113827
6 · The paper itself

Abstract

backgroundEarly preterm (<34 weeks of gestation) small for gestational age infants (<10th percentile birth weight for sex and gestational age) experience high rates of morbidity and mortality, the causes of which are poorly understood. Mounting evidence suggests that genetic disorders contribute. Scarce data exist regarding the prevalence of genetic disorders and their contribution to morbidity and mortality.

objectiveThis study aimed to determine the proportion of genetic disorders in early preterm small for gestational age infants (with and without congenital anomalies) compared to early preterm appropriate for gestational age infants and the association of genetic disorders with morbidity or mortality. STUDY

designThis is a retrospective cohort study of infants delivered at 23 and 0/7 to 33 and 6/7 weeks of gestation from 2000 to 2020 from the Pediatrix Clinical Data Warehouse. Data included diagnosed genetic disorders and congenital anomalies, baseline characteristics, and morbidity or mortality. We excluded cases of death in the delivery room before neonatal intensive care unit admission, multiple gestations, and cases transferred after birth or before death or discharge.

resultsWe identified 223,431 early preterm infants, including 21,180 small for gestational age. Genetic disorders were present in 441 (2.3%) of small for gestational age infants without congenital anomalies, in 194 (10.8%) of small for gestational age infants with congenital anomalies, and in 304 (4.5%) of small for gestational age infants that experienced morbidity or mortality (with or without congenital anomalies). Trisomies 13, 18, and 21 were the most prevalent genetic disorders in these groups, together accounting for 145 small for gestational age infants without congenital anomalies, 117 small for gestational age infants with congenital anomalies, and 166 small for gestational age infants with morbidity or mortality (with or without congenital anomalies). Less prevalent genetic disorders consisted of other aneuploidy (45, X and 47, XXY), copy number variants (13q14 deletion syndrome, cri du chat syndrome, DiGeorge syndrome), and single gene disorders (cystic fibrosis, Fanconi anemia, glucose-6-phosphate dehydrogenase deficiency, hemophilia, hypophosphatasia, sickle cell disease, and thalassemia). Comparatively, genetic disorders were found in 1792 (1.0%) appropriate for gestational age infants without congenital anomalies, in 572 (5.8%) appropriate for gestational age infants with congenital anomalies, and 809 (2.0%) appropriate for gestational age infants that experienced morbidity or mortality (with or without congenital anomalies). Genetic disorders were associated with an adjusted odds ratio (95% confidence interval) of 2.10 (1.89-2.33) of isolated small for gestational age and 12.84 (11.47-14.35) of small for gestational age accompanied by congenital anomalies. Genetic disorders were associated with an adjusted odds ratio of 2.24 (1.83-2.74) of morbidity or mortality.

conclusionThese findings suggest that genetic disorders are more prevalent in early preterm small for gestational age infants, particularly those with congenital anomalies. These findings also suggest that genetic disorders are associated with increased morbidity and mortality. These associations were primarily driven by trisomies 13, 18, and 21. Genetic diagnoses in this cohort were made through routine clinical care, principally via karyotype, chromosomal microarray, and single gene testing. These findings support evolving clinical guidelines for genetic testing of small for gestational age infants. Our study is limited due to the lack of prospective, genome-wide testing.

Indexed as

Congenital AbnormalitiesGenetic Diseases, InbornInfant, Small for Gestational AgeFemaleGestational AgeHumansInfantInfant MortalityInfant, NewbornInfant, PrematureMaleRetrospective Studiesearly preterm birthfetal growth restrictiongenetic disordersgenetic testinginfant morbidityinfant mortalitysmall for gestational age

Identifiers

PMID39322018
PMCPMC11929620

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.