Evidence map›Paper›PMID 24350633›Full record

ReviewAntioxidants & redox signaling2014

Is asymmetric dimethylarginine associated with being born small and large for gestational age?

Valentina Chiavaroli, Laura Diesse, Tommaso de Giorgis, Cosimo Giannini, Maria Loredana Marcovecchio, Francesco Chiarelli, Angelika Mohn

Abstract readReview
In one paragraph

Review in Antioxidants & redox signaling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 12% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Valentina Chiavaroli1 Department of Paediatrics, University of Chieti , Chieti, Italy .
Laura Diesse
Tommaso de Giorgis
Cosimo Giannini
Maria Loredana Marcovecchio
Francesco Chiarelli
Angelika Mohn
University of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low and high birth weights have been linked to increased susceptibility to cardiovascular and metabolic alterations. However, the natural history of cardiometabolic disturbances in children born small (SGA) and large (LGA) for gestational age is still unclear and no reliable biomarker of cardiovascular risk has definitively been identified in these subjects. Interestingly, asymmetric dimethylarginine (ADMA), antagonist of nitric oxide (NO) production, has been recognized as novel cardiovascular marker able to identify subjects at higher risk of health disturbances. Despite the well-described role of ADMA as a predictor of degenerative disease in adults, its potential application in pediatrics, and specifically in SGA and LGA children, has not been explored as only few data in preterm infants and SGA newborns are available. Therefore, we investigated potential alterations in circulating ADMA and NO levels in SGA and LGA children compared with those born appropriate (AGA) for gestational age. Of note, ADMA was significantly higher in SGA and LGA children than AGA peers. Intriguingly, SGA and LGA categories as well as insulin resistance were independently related to ADMA. Our observations lead to the intriguing hypothesis that ADMA could be involved in the development of cardiometabolic alterations in SGA and LGA children already during the prepubertal age.

Indexed as

Birth WeightGestational AgeArginineBiomarkersCardiovascular DiseasesFemaleHumansMetabolic DiseasesPregnancyArginineBiomarkersN,N-dimethylarginine

Identifiers

PMID24350633
PMCPMC4005497
OpenAlexW2056511519

What OpenQuestion holds

Textmetadata
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.