Evidence map›Paper›PMID 33214628›Full record

ArticleScientific reports2020

Title NMR-based metabolic profiling provides diagnostic and prognostic information in critically ill children with suspected infection.

Arturas Grauslys, Marie M Phelan, Caroline Broughton, Paul B Baines, Rebecca Jennings, Sarah Siner, Stephane C Paulus, Enitan D Carrol

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.5field-weighted citation impact, top 36% 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, 15 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 2 institutions in 1 country.

Arturas GrauslysUniversity of Liverpool Institute of Integrative Biology, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK.
Marie M PhelanUniversity of Liverpool Institute of Integrative Biology, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK.
Caroline BroughtonUniversity of Liverpool Institute of Infection and Global Health, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK.
Paul B BainesDepartment of Critical Care, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, L12 2AP, UK.
Rebecca JenningsClinical Research Division, Alder Hey Children's NHS Foundation Trust, Liverpool, UK.
Sarah SinerClinical Research Division, Alder Hey Children's NHS Foundation Trust, Liverpool, UK.
Stephane C PaulusUniversity of Liverpool Institute of Infection and Global Health, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK.
Enitan D CarrolUniversity of Liverpool Institute of Infection and Global Health, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK. edcarrol@liverpool.ac.uk.
University of Liverpool · GBAlder Hey Children's NHS Foundation Trust · GB

Funding

Medical Research Council MR/M009114/1
6 · The paper itself

Abstract

Sepsis, defined as life-threatening organ dysfunction caused by infection is difficult to distinguish clinically from infection or post-operative inflammation. We hypothesized that in a heterogeneous group of critically ill children, there would be different metabolic profiles between post-operative inflammation, bacterial and viral infection and infection with or without organ dysfunction. 1D

Indexed as

Critical IllnessBacterial InfectionsBiomarkersChildChild, PreschoolDiagnosis, DifferentialFemaleHumansInfantMagnetic Resonance SpectroscopyMaleMetabolomeMetabolomicsPrognosisSepsisVirus DiseasesBiomarkers

Identifiers

PMID33214628
PMCPMC7677384
OpenAlexW3099970710

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.