Evidence map›Paper›PMID 25092428›Full record

ReviewEuropean neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology2015

How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?

Matthew J Kempton, Philip McGuire

Open access · hybridAbstract readReview
In one paragraph

Review in European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Neuroimaging Biomarkers for Psychosis.Current behavioral neuroscience reports · 2015
    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

2 authors at 1 institution in 1 country.

Matthew J KemptonDepartment of Psychosis Studies, Institute of Psychiatry, King׳s College London, UK; Department of Neuroimaging, PO89, Institute of Psychiatry, King׳s College London, De Crespigny Park, London SE5 8AF, UK. Electronic address: matthew.kempton@kcl.ac.uk.
Philip McGuireDepartment of Psychosis Studies, Institute of Psychiatry, King׳s College London, UK.
King's College London · GB

Funding

Medical Research Council MR/J008915/1
6 · The paper itself

Abstract

Early diagnosis and treatment of patients with psychosis are associated with improved outcome in terms of future functioning, symptoms and treatment response. Identifying neuroimaging biomarkers for illness onset and treatment response would lead to immediate clinical benefits. In this review we discuss if neuroimaging may be utilised to diagnose patients with psychosis, predict those who will develop the illness in those at high risk, and stratify patients. State-of-the-art developments in the field are critically examined including multicentre studies, longitudinal designs, multimodal imaging and machine learning as well as some of the challenges in utilising future neuroimaging biomarkers in clinical trials. As many of these developments are already being applied in neuroimaging studies of Alzheimer's disease, we discuss what lessons have been learned from this field and how they may be applied to research in psychosis.

Indexed as

BrainEarly DiagnosisHumansNeuroimagingPsychotic DisordersBiomarkersEarly diagnosisPsychosis

Identifiers

PMID25092428
PMCPMC4433201
OpenAlexW2171136125

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.