Evidence map›Paper›PMID 27696270›Full record

ReviewMetabolic brain disease2016

New technologies - new insights into the pathogenesis of hepatic encephalopathy.

Luisa Baker, Bernard Lanz, Fausto Andreola, Javier Ampuero, Anisha Wijeyesekera, Elaine Holmes, Nicolaas Deutz

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Metabolic brain disease, 2016. 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
0.5field-weighted citation impact, top 30% 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, 12 citations in OpenAlex.

  1. Review
  2. Diagnosis and Therapeutic Management of Liver Fibrosis by MicroRNA.International journal of molecular sciences · 2021
    Review
  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 6 institutions in 4 countries.

Luisa BakerDepartment of Clinical Science and Services, Royal Veterinary College, Hatfield, Hertfordshire, UK.
Bernard LanzLaboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Bernard.Lanz@nottingham.ac.uk.
Fausto AndreolaLiver Failure Group, UCL Institute for Liver and Digestive Health, UCL Medical School, Royal Free Hospital, London, UK.
Javier AmpueroInter-Centre Unit of Digestive Diseases, Virgen Macarena - Virgen del Rocío University Hospitals, Sevilla, Spain.
Anisha WijeyesekeraDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Elaine HolmesDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Nicolaas DeutzDepartment of Health & Kinesiology, Texas A&M University, College Station, TX, USA.
Imperial College London · GBÉcole Polytechnique Fédérale de Lausanne · CHInstituto de Biomedicina de Sevilla · ESRoyal Veterinary College · GBTexas A&M University · USThe Royal Free Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic encephalopathy (HE) is a neuropsychiatric syndrome which frequently accompanies acute or chronic liver disease. It is characterized by a variety of symptoms of different severity such as cognitive deficits and impaired motor functions. Currently, HE is seen as a consequence of a low grade cerebral oedema associated with the formation of cerebral oxidative stress and deranged cerebral oscillatory networks. However, the pathogenesis of HE is still incompletely understood as liver dysfunction triggers exceptionally complex metabolic derangements in the body which need to be investigated by appropriate technologies. This review summarizes technological approaches presented at the ISHEN conference 2014 in London which may help to gain new insights into the pathogenesis of HE. Dynamic in vivo

Indexed as

AnimalsHepatic EncephalopathyHumansMagnetic Resonance SpectroscopyMetabolomicsMicroRNAsMicroRNAsGenomicsHepatic encephalopathyMetabonomicsMicroRNANuclear magnetic resonance spectroscopyTargeted fluxomics

Identifiers

PMID27696270
OpenAlexW2527070275

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.