Evidence map›Paper›PMID 30581287›Full record

ReviewDialogues in clinical neuroscience2018

Forty years of structural brain imaging in mental disorders: is it clinically useful or not?

Falkai Peter, Schmitt Andrea, Andreasen Nancy

Open access · diamondAbstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.International journal of environmental research and public health · 2021
    Review
  12. Review
  13. Article
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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

3 authors at 2 institutions in 2 countries.

Falkai PeterDepartment of Psychiatry and Psychotherapy, University Hospital Munich, Munich, Germany.
Schmitt AndreaDepartment of Psychiatry and Psychotherapy, University Hospital Munich, Munich, Germany.
Andreasen NancyDepartment of Psychiatry, The University of Iowa, Iowa City, USA.
München Klinik · DEUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural brain imaging was introduced into routine clinical practice more than 40 years ago with the hope that it would support the diagnosis and treatment of mental disorders. It is now widely used to exclude organic brain disease (eg, brain tumors, cardiovascular, and inflammatory processes) in mental disorders. However, questions have been raised about whether structural brain imaging is still needed today and whether it could also be clinically useful to apply new biostatistical methods, such as machine learning. Therefore, the current paper not only reviews structural findings in Alzheimer disease, depression, bipolar disorder, and schizophrenia but also discusses the role of structural imaging in supporting diagnostic, prognostic, and therapeutic processes in mental disorders. Thus, it attempts to answer the questions whether, after four decades of use, structural brain imaging is clinically useful in mental disorders or whether it will become so in the future.

Indexed as

NeuroimagingAlzheimer DiseaseBipolar DisorderBrainDepressive DisorderHumansSchizophreniabipolar disorderclinical usefulnessdementiadiagnosticMDDprognostic and theranostic biomarkerschizophreniastructural brain imaging

Identifiers

PMID30581287
PMCPMC6296397
OpenAlexW2993581711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.