Evidence map›Paper›PMID 41177398›Full record

ArticleThe Journal of pediatrics2026

Antenatal Prediction of Early Cord Clamping among Infants Born Extremely Preterm.

Anup C Katheria, Rebecca A Dorner, William A Grobman, Matthew A Rysavy, Jenny Koo, Myra H Wyckoff, Grecio Sandoval, Sara B DeMauro, Abhik Das, Henry C Lee and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Anup C KatheriaDepartment of Pediatrics, Sharp Neonatal Research Institute, San Diego, CA. Electronic address: Anup.katheria@sharp.com.
Rebecca A DornerDepartment of Pediatrics, Sharp Neonatal Research Institute, San Diego, CA.
William A GrobmanDepartment of Obstetrics, Brown University, Providence, RI.
Matthew A RysavyDepartment of Pediatrics, UTHealth Houston, Houston, TX.
Jenny KooDepartment of Pediatrics, Sharp Neonatal Research Institute, San Diego, CA.
Myra H WyckoffDepartment of Pediatrics, University of Texas, Southwestern, Dallas, TX.
Grecio SandovalDepartment of Biostatistics, George Washington University, Washington, DC.
Sara B DeMauroDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Abhik DasDepartment of Biostatistics, RTI International, Research Triangle Park, NC.
Henry C LeeDepartment of Pediatrics, University of California San Diego, San Diego, CA.
Michael CottenDepartment of Pediatrics, Duke University, Durham, NC.
Laura CalvoDepartment of Pediatrics, Duke University, Durham, NC.
Shampa SahaDepartment of Biostatistics, RTI International, Research Triangle Park, NC.
Eunice Kennedy Schriver National Institute of Child Health and Human Development Neonatal Research Network

Funding

Neonatal Research Network Data Coordinating Center (DCC) 2023-2028U24HD095254 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI Abhik Das · 2018 to 2026
$70.2M
Neonatal Research Network Data Coordinating Center (DCC)U10HD036790 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI DAS, ABHIK · 2008 to 2017
$62.3M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Data Ctr for the Cooperative Neonatal Research NetworkU01HD036790 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI DAS, ABHIK · 1998 to 2007
$21.8M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD021385 · NICHD · WAYNE STATE UNIVERSITY · PI SHANKARAN, SEETHA · 1991 to 2015
$8.7M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD021373 · NICHD · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI KENNEDY, KATHLEEN A · 1991 to 2015
$6.1M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD027856 · NICHD · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SOKOL, GREGORY M. · 1991 to 2015
$5.9M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD027871 · NICHD · YALE UNIVERSITY · PI EHRENKRANZ, RICHARD A. · 1991 to 2012
$3.9M
NICHD Neonatal Research Network -- Cincinnati Clinical CenterUG1HD027853 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI STEPHANIE L MERHAR · 2016 to 2026
$3.7M
Clinical Center for NICHD/Neonatal Research NetworkUG1HD068244 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Sara Bonamo DeMauro, Eric C Eichenwald · 2016 to 2026
$3.6M
NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR001117NCATS NIH HHS UM1 TR004406NICHD NIH HHS U01 HD036790NICHD NIH HHS U10 HD021373NICHD NIH HHS U10 HD021385NICHD NIH HHS U10 HD027856NICHD NIH HHS U10 HD027871NICHD NIH HHS U10 HD036790NICHD NIH HHS U10 HD053119NICHD NIH HHS U10 HD068270NICHD NIH HHS U10 HD068278NICHD NIH HHS U10 HD068284NICHD NIH HHS U24 HD095254NICHD NIH HHS UG1 HD021364NICHD NIH HHS UG1 HD021385NICHD NIH HHS UG1 HD027851NICHD NIH HHS UG1 HD027853NICHD NIH HHS UG1 HD027856NICHD NIH HHS UG1 HD027880NICHD NIH HHS UG1 HD027904NICHD NIH HHS UG1 HD034216NICHD NIH HHS UG1 HD040492NICHD NIH HHS UG1 HD040689NICHD NIH HHS UG1 HD053089NICHD NIH HHS UG1 HD053109NICHD NIH HHS UG1 HD068244NICHD NIH HHS UG1 HD068263NICHD NIH HHS UG1 HD068270NICHD NIH HHS UG1 HD068278NICHD NIH HHS UG1 HD068284NICHD NIH HHS UG1 HD087226NICHD NIH HHS UG1 HD087229NICHD NIH HHS UG1 HD112093NICHD NIH HHS UG1 HD112100
6 · The paper itself

Abstract

objectiveTo identify prenatal risk factors associated with early cord clamping (ECC) in infants born extremely preterm (22-28 weeks) and to use these factors to predict which infants have the highest risk of ECC. STUDY

designStepwise logistic regression and classification and regression tree analysis were performed to identify variables most associated with ECC and to build a parsimonious model to identify infants born preterm who are at the highest risk of ECC.

resultsThere were 12 622 infants eligible for analysis (ECC, n = 8465 vs deferred cord clamping [DCC], n = 4157). In the classification and regression tree model, center, lack of antenatal magnesium, cesarean delivery, lower gestational age, and antenatal hemorrhage, in that rank order, were the factors that contributed most to identifying which infants received ECC. Several additional factors were also statistically significant, including time to delivery after admission to the hospital as well as maternal race and ethnicity.

conclusionsOur results suggest that there are multiple factors among extremely preterm pregnancies, including center, lack of antenatal magnesium, cesarean delivery, lower gestational age, and antenatal hemorrhage, that are associated with infants who are more likely to miss DCC. There are also differences in rates by maternal race and ethnicity in who receives DCC compared with ECC. Identifying these factors now can inform future research and encourage local and larger-scale quality improvement practice changes.

Indexed as

Infant, Extremely PrematureUmbilical CordUmbilical Cord ClampingFemaleGestational AgeHumansInfant, NewbornLogistic ModelsMalePregnancyRisk FactorsTime Factorsdeferreddelayed cord clampingneonateplacental transfusion

Identifiers

PMID41177398
PMCPMC12799206

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Registered trials

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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.