Evidence map›Paper›PMID 28373096›Full record

ArticleEBioMedicine2017

Metabolic Profiling in Patients with Pneumonia on Intensive Care.

David Antcliffe, Beatriz Jiménez, Kirill Veselkov, Elaine Holmes, Anthony C Gordon

Abstract read
In one paragraph

Article in EBioMedicine, 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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  10. 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

5 authors.

David AntcliffeSection of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Beatriz JiménezDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Kirill VeselkovDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Elaine HolmesDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Anthony C GordonSection of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK. Electronic address: Anthony.gordon@imperial.ac.uk.

Funding

Department of Health RP-2015-06-018
6 · The paper itself

Abstract

Clinical features and investigations lack predictive value when diagnosing pneumonia, especially when patients are ventilated and when patients develop ventilator associated pneumonia (VAP). New tools to aid diagnosis are important to improve outcomes. This pilot study examines the potential for metabolic profiling to aid the diagnosis in critical care. In this prospective observational study ventilated patients with brain injuries or pneumonia were recruited in the intensive care unit and serum samples were collected soon after the start of ventilation. Metabolic profiles were produced using 1D

Indexed as

MetabolomicsAdultAgedAmino AcidsBrain InjuriesDiscriminant AnalysisFemaleHumansIntensive Care UnitsLeast-Squares AnalysisLipoproteinsMagnetic Resonance SpectroscopyMaleMiddle AgedPilot ProjectsPneumoniaAmino AcidsLipoproteinsBrain injuryIntensive careMetabonomicsPneumoniaVentilationVentilatior associated pneumonia (VAP)

Identifiers

PMID28373096
PMCPMC5405179

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.