Evidence map›Paper›PMID 24133287›Full record

ReviewJournal of neurology, neurosurgery, and psychiatry2014

An algorithmic approach to structural imaging in dementia.

Lorna Harper, Frederik Barkhof, Philip Scheltens, Jonathan M Schott, Nick C Fox

Abstract readReview
In one paragraph

Review in Journal of neurology, neurosurgery, and psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Trial
  3. Review
  4. Heterogeneity of dementia with lewy bodies: Insights from clinical presentations, neuropathology, and biomarkers.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  5. Article
  6. Ultra-fast MRI for dementia diagnosis and treatment eligibility: A prospective study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Utility of cerebrovascular imaging biomarkers to detect cerebral amyloidosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  20. Review
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.

Lorna HarperDepartment of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, , London, UK.
Frederik Barkhof
Philip Scheltens
Jonathan M Schott
Nick C Fox

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and timely diagnosis of dementia is important to guide management and provide appropriate information and support to patients and families. Currently, with the exception of individuals with genetic mutations, postmortem examination of brain tissue remains the only definitive means of establishing diagnosis in most cases, however, structural neuroimaging, in combination with clinical assessment, has value in improving diagnostic accuracy during life. Beyond the exclusion of surgical pathology, signal change and cerebral atrophy visible on structural MRI can be used to identify diagnostically relevant imaging features, which provide support for clinical diagnosis of neurodegenerative dementias. While no structural imaging feature has perfect sensitivity and specificity for a given diagnosis, there are a number of imaging characteristics which provide positive predictive value and help to narrow the differential diagnosis. While neuroradiological expertise is invaluable in accurate scan interpretation, there is much that a non-radiologist can gain from a focused and structured approach to scan analysis. In this article we describe the characteristic MRI findings of the various dementias and provide a structured algorithm with the aim of providing clinicians with a practical guide to assessing scans.

Indexed as

AlgorithmsMagnetic Resonance ImagingNeuroimagingAgedAged, 80 and overAlzheimer DiseaseAtrophyBrainDementiaDiagnosis, DifferentialEuropeFemaleHippocampusHumansMaleMiddle AgedDEMENTIAIMAGE ANALYSISMRINEURORADIOLOGYVASCULAR DEMENTIA

Identifiers

PMID24133287
PMCPMC4033032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.