Evidence map›Paper›PMID 28071721›Full record

ArticleScientific reports2017

Assessment of phospholipid synthesis related biomarkers for perinatal asphyxia: a piglet study.

Ángel Sánchez-Illana, Rønnaug Solberg, Isabel Lliso, Leonid Pankratov, Guillermo Quintás, Ola Didrik Saugstad, Máximo Vento, Julia Kuligowski

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 11 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

8 authors at 3 institutions in 2 countries.

Ángel Sánchez-IllanaNeonatal Research Group, Health Research Institute Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Rønnaug SolbergDepartment of Pediatric Research, Institute for Surgical Research, University of Oslo, Oslo University Hospital - Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.
Isabel LlisoNeonatal Research Group, Health Research Institute Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Leonid PankratovDepartment of Pediatric Research, Institute for Surgical Research, University of Oslo, Oslo University Hospital - Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.
Guillermo QuintásHuman &Environmental Health &Safety (HEHS), Leitat Technological Center, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Ola Didrik SaugstadDepartment of Pediatric Research, Institute for Surgical Research, University of Oslo, Oslo University Hospital - Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway.
Máximo VentoNeonatal Research Group, Health Research Institute Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Julia KuligowskiNeonatal Research Group, Health Research Institute Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Leitat Technological Center · ESUniversity of Oslo · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prompt and reliable identification of infants at risk of hypoxic-ischemic encephalopathy secondary to perinatal asphyxia in the first critical hours is important for clinical decision-making and yet still remains a challenge. This work strives for the evaluation of a panel of metabolic biomarkers that have been associated with the hypoxic-ischemic insult in the perinatal period. Plasma and urine samples from a consolidated newborn piglet model of hypoxia and withdrawn before and at different time points after a hypoxic insult were analyzed and compared to a control group. Time-dependent metabolic biomarker profiles were studied and observed patterns were similar to those of lactate levels, which are currently considered the gold standard for assessing hypoxia. Class prediction performance could be improved by the use of a combination of the whole panel of determined metabolites in plasma as compared to lactate values. Using a multivariate model including lactate together with the studied metabolic biomarkers allowed to improve the prediction performance of duration of hypoxia time, which correlates with the degree of brain damage. The present study evidences the usefulness of choline and related metabolites for improving the early assessment of the severity of the hypoxic insult.

Indexed as

BiomarkersAnimalsAnimals, NewbornAsphyxia NeonatorumCholineFemaleHumansHypoxia, BrainHypoxia-Ischemia, BrainLactic AcidPregnancySeverity of Illness IndexSwineBiomarkersCholineLactic Acid

Identifiers

PMID28071721
PMCPMC5223196
OpenAlexW2568116242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.