Evidence map›Paper›PMID 29603633›Full record

ArticleClinical and translational science2018

A Translational Model of Incomplete Catch-Up Growth: Early-Life Hypoxia and the Effect of Physical Activity.

Shlomit Radom-Aizik, Frank P Zaldivar, Dwight M Nance, Fadia Haddad, Dan M Cooper, Gregory R Adams

Abstract read
In one paragraph

Article in Clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Shlomit Radom-AizikPediatric Exercise and Genomics Research Center (PERC), Departments of Pediatrics, University of California, Irvine, California, USA.
Frank P ZaldivarPediatric Exercise and Genomics Research Center (PERC), Departments of Pediatrics, University of California, Irvine, California, USA.
Dwight M NancePediatric Exercise and Genomics Research Center (PERC), Departments of Pediatrics, University of California, Irvine, California, USA.
Fadia HaddadPediatric Exercise and Genomics Research Center (PERC), Departments of Pediatrics, University of California, Irvine, California, USA.
Dan M CooperPediatric Exercise and Genomics Research Center (PERC), Departments of Pediatrics, University of California, Irvine, California, USA.
Gregory R AdamsDepartment of Physiology & Biophysics, University of California, Irvine, California, USA.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Peripheral Blood Mononuclear Cells, Exercise, and Children: Initial MechanismsP01HD048721 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2006 to 2016
$13.6M
NCATS NIH HHS UL1 TR001414NICHD NIH HHS P01 HD048721
6 · The paper itself

Abstract

Advances in therapies have led to prolonged survival from many previously lethal health threats in children, notably among prematurely born babies and those with congenital heart disease. Evidence for catch-up growth is common in these children, but in many cases the adult phenotype is never achieved. A translational animal model is required in which specific tissues can be studied over a reasonable time interval. We investigated the impact of postnatal hypoxia (HY) (12%O

Indexed as

Disease Models, AnimalAnimalsAnimals, NewbornBody HeightBody WeightFemaleGrowthHumansHypoxiaInfantInfant, NewbornMalePregnancyPremature BirthRandom AllocationRats

Identifiers

PMID29603633
PMCPMC6039202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.