Evidence map›Paper›PMID 27399280›Full record

Observational studyEarly human development2016

Cardiopulmonary resuscitation in hospitalized infants.

Christoph P Hornik, Eric M Graham, Kevin Hill, Jennifer S Li, George Ofori-Amanfo, Reese H Clark, P Brian Smith

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Early human development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
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

7 authors at 3 institutions in 1 country.

Christoph P HornikDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. Electronic address: christoph.hornik@duke.edu.
Eric M GrahamMedical University of South Carolina, Charleston, SC, USA. Electronic address: grahamem@musc.edu.
Kevin HillDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. Electronic address: kevin.hill@dm.duke.edu.
Jennifer S LiDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. Electronic address: li000001@mc.duke.edu.
George Ofori-AmanfoDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, USA. Electronic address: goforiam@montefiore.org.
Reese H ClarkPediatrix-Obstetrix Center for Research and Education, Sunrise, FL, USA. Electronic address: Reese_Clark@mednax.com.
P Brian SmithDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. Electronic address: brian.smith@duke.edu.
Duke University · USClinical Research Institute · USMedical University of South Carolina · US

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Increasing the Quality and Efficiency of Clinical Trials (R18)R18FD005292 · FDA · DUKE UNIVERSITY · PI LI, JENNIFER S · 2014 to 2019
$26.8M
Fungal biomarkers for diagnosis and response to therapy for pediatric candidemiaR01HD081044 · NICHD · DUKE UNIVERSITY · PI FISHER, BRIAN T, STEINBACH, WILLIAM J · 2014 to 2018
$3.2M
FDA HHS R18 FD005292NCATS NIH HHS UL1 TR001117NICHD NIH HHS HHSN275201000003CNICHD NIH HHS HHSN275201000003INICHD NIH HHS R01 HD081044
6 · The paper itself

Abstract

backgroundHospitalized infants requiring cardiopulmonary resuscitation (CPR) represent a high-risk group. Recent data on risk factors for mortality following CPR in this population are lacking.

aimsWe hypothesized that infant demographic characteristics, diagnoses, and levels of cardiopulmonary support at the time of CPR requirement would be associated with survival to hospital discharge following CPR. STUDY

designRetrospective cohort study. SUBJECTS: All infants receiving CPR on day of life 2 to 120 admitted to 348 Pediatrix Medical Group neonatal intensive care units from 1997 to 2012. OUTCOMES MEASURES: We collected data on demographics, interventions, center volume, and death prior to NICU discharge. We evaluated predictors of death after CPR using multivariable logistic regression with generalized estimating equations to account for clustering of the data by center.

resultsOur cohort consisted of 2231 infants receiving CPR. Of these, 1127 (51%) survived to hospital discharge. Lower gestational age, postnatal age, 5-min APGAR, congenital anomaly, and markers of severity of illness were associated with higher mortality. Mortality after CPR did not change significantly over time (Cochran-Armitage test for trend p=0.35).

conclusionsMortality following CPR in infants is high, particularly for less mature, younger infants with congenital anomalies and those requiring cardiopulmonary support prior to CPR. Continued focus on at risk infants may identify targets for CPR prevention and improve outcomes.

Indexed as

Infant MortalityCardiopulmonary ResuscitationFemaleHumansInfantInfant, NewbornInfant, PrematureInfant, Small for Gestational AgeIntensive Care, NeonatalIntensive Care Units, NeonatalMaleCardiopulmonary resuscitationInfantsNeonatal intensive care unitsSurvival

Identifiers

PMID27399280
PMCPMC5035196
OpenAlexW2461349176

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.