Evidence map›Paper›PMID 35714966›Full record

Observational studyThe Journal of pediatrics2022

Active Treatment of Infants Born at 22-25 Weeks of Gestation in California, 2011-2018.

Xuxin Chen, Tianyao Lu, Jeffrey Gould, Susan R Hintz, Deirdre J Lyell, Xiao Xu, Lillian Sie, Matthew Rysavy, Alexis S Davis, Henry C Lee

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Journal of pediatrics, 2022. 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
1.4field-weighted citation impact, top 19% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
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 4 institutions in 1 country.

Xuxin ChenDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. Electronic address: chenx13@stanford.edu.
Tianyao LuDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Jeffrey GouldDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Susan R HintzDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Deirdre J LyellDivision of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA.
Xiao XuDepartment of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT.
Lillian SieDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Matthew RysavyDivision of Neonatology, Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA; Division of Neonatology, Department of Pediatrics, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX.
Alexis S DavisDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Henry C LeeDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Stanford Medicine · USStanford University · USThe University of Texas Health Science Center · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Improving outcomes of periviable births via an enhanced prediction toolR01HD098287 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEE, HENRY CHONG · 2020 to 2024
$1.7M
NCATS NIH HHS UL1 TR001863NICHD NIH HHS L40 HD099827NICHD NIH HHS R01 HD098287
6 · The paper itself

Abstract

objectiveTo determine the rate and trend of active treatment in a population-based cohort of infants born at 22-25 weeks of gestation and to examine factors associated with active treatment. STUDY

designThis observational study evaluated 8247 infants born at 22-25 weeks of gestation at hospitals in the California Perinatal Quality Care Collaborative between 2011 and 2018. Multivariable logistic regression was used to relate maternal demographic and prenatal factors, fetal characteristics, and hospital level of care to the primary outcome of active treatment.

resultsActive treatment was provided to 6657 infants. The rate at 22 weeks was 19.4% and increased with each advancing week, and was significantly higher for infants born between days 4 and 6 at 22 or 23 weeks of gestation compared with those born between days 0 and 3 (26.2% and 78.3%, respectively, vs 14.1% and 65.9%, respectively; P < .001). The rate of active treatment at 23 weeks increased from 2011 to 2018 (from 64.9% to 83.4%; P < .0001) but did not change significantly at 22 weeks. Factors associated with increased odds of active treatment included maternal Hispanic ethnicity and Black race, preterm premature rupture of membranes, obstetrical bleeding, antenatal steroids, and cesarean delivery. Factors associated with decreased odds included lower gestational age and small for gestational age birth weight.

conclusionsIn California, active treatment rates at 23 weeks of gestation increased between 2011 and 2018, but rates at 22 weeks did not. At 22 and 23 weeks, rates increased during the latter part of the week. Several maternal and infant factors were associated with the likelihood of active treatment.

Indexed as

Infant, PrematurePrenatal CareBirth WeightCesarean SectionFemaleGestational AgeHumansInfantInfant, NewbornPregnancyintensive careoutcome assessmentpremature infantrisk factors

Identifiers

PMID35714966
PMCPMC9560960
OpenAlexW4282939784

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.