Evidence map›Paper›PMID 29661562›Full record

ArticleThe Journal of pediatrics2018

Initial Metabolic Profiles Are Associated with 7-Day Survival among Infants Born at 22-25 Weeks of Gestation.

Scott P Oltman, Elizabeth E Rogers, Rebecca J Baer, James G Anderson, Martina A Steurer, Matthew S Pantell, J Colin Partridge, Larry Rand, Kelli K Ryckman, Laura L Jelliffe-Pawlowski

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In one paragraph

Article in The Journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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 2 institutions in 1 country.

Scott P OltmanDepartment of Epidemiology and Biostatistics and the Preterm Birth Initiative, University of California San Francisco, San Francisco, CA. Electronic address: scott.oltman@ucsf.edu.
Elizabeth E RogersDepartment of Pediatrics, University of California San Francisco, San Francisco, CA.
Rebecca J BaerPreterm Birth Initiative, University of California San Francisco, San Francisco, CA; Department of Pediatrics, University of California San Diego, La Jolla, CA.
James G AndersonDepartment of Pediatrics, University of California San Francisco, San Francisco, CA.
Martina A SteurerDepartment of Epidemiology and Biostatistics and Pediatrics, University of California San Francisco, San Francisco, CA.
Matthew S PantellDepartment of Pediatrics, University of California San Francisco, San Francisco, CA.
J Colin PartridgeDepartment of Pediatrics, University of California San Francisco, San Francisco, CA.
Larry RandPreterm Birth Initiative, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA.
Kelli K RyckmanDepartment of Epidemiology and Pediatrics, University of Iowa, Iowa City, IA.
Laura L Jelliffe-PawlowskiDepartment of Epidemiology and Biostatistics and the Preterm Birth Initiative, University of California San Francisco, San Francisco, CA.
University of California, San Francisco · USUniversity of Iowa · US

Funding

Newborn Metabolic Screening for Prediction of Childhood Respiratory PhenotypesR21HD087864 · NICHD · UNIVERSITY OF IOWA · PI HARTERT, TINA V, RYCKMAN, KELLI K. · 2016 to 2017
$426k
NICHD NIH HHS R21 HD087864
6 · The paper itself

Abstract

objectiveTo evaluate the association between early metabolic profiles combined with infant characteristics and survival past 7 days of age in infants born at 22-25 weeks of gestation. STUDY

designThis nested case-control consisted of 465 singleton live births in California from 2005 to 2011 at 22-25 weeks of gestation. All infants had newborn metabolic screening data available. Data included linked birth certificate and mother and infant hospital discharge records. Mortality was derived from linked death certificates and death discharge information. Each death within 7 days was matched to 4 surviving controls by gestational age and birth weight z score category, leaving 93 cases and 372 controls. The association between explanatory variables and 7-day survival was modeled via stepwise logistic regression. Infant characteristics, 42 metabolites, and 12 metabolite ratios were considered for model inclusion. Model performance was assessed via area under the curve.

resultsThe final model included 1 characteristic and 11 metabolites. The model demonstrated a strong association between metabolic patterns and infant survival (area under the curve [AUC] 0.885, 95% CI 0.851-0.920). Furthermore, a model with just the selected metabolites performed better (AUC 0.879, 95% CI 0.841-0.916) than a model with multiple clinical characteristics (AUC 0.685, 95% CI 0.627-0.742).

conclusionsUse of metabolomics significantly strengthens the association with 7-day survival in infants born extremely premature. Physicians may be able to use metabolic profiles at birth to refine mortality risks and inform postnatal counseling for infants born at <26 weeks of gestation.

Indexed as

MetabolomeCaliforniaCase-Control StudiesGestational AgeHumansInfantInfant MortalityInfant, NewbornInfant, PrematureInfant, Premature, DiseasesLogistic ModelsNeonatal ScreeningSurvival Rate

Identifiers

PMID29661562
PMCPMC6016556
OpenAlexW2797385394

What OpenQuestion holds

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LicenceCC BY
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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.