Evidence map›Paper›PMID 32556533›Full record

ArticleJournal of neurology2020

Using amyloid PET imaging to diagnose Alzheimer's disease in patients with multiple sclerosis.

Magdalena Kolanko, Zarni Win, Neva Patel, Omar Malik, Christopher Carswell, Anastassia Gontsarova, Richard Nicholas, Richard Perry, Paresh Malhotra

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Is there a link between multiple sclerosis and Alzheimer disease? A critical note.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. 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

9 authors at 1 institution in 1 country.

Magdalena KolankoDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK.
Zarni WinDepartment of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK.
Neva PatelDepartment of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK.
Omar MalikDepartment of Neurology, Imperial College Healthcare NHS Trust, London, UK.
Christopher CarswellDepartment of Neurology, Imperial College Healthcare NHS Trust, London, UK.
Anastassia GontsarovaDepartment of Radiology, Imperial College Healthcare NHS Trust, London, UK.
Richard NicholasDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK.
Richard PerryDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK.
Paresh MalhotraDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK. p.malhotra@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1897-0780
Imperial College Healthcare NHS Trust · GB

Funding

Medical Research Council MR/L023784/2
6 · The paper itself

Abstract

backgroundCognitive dysfunction affects 40-60% of individuals with multiple sclerosis (MS). The neuropsychological profile commonly consists of a subcortical pattern of deficits, although a proportion of patients have a severe progressive cortical dementia. However, patients with MS can be affected by other neurodegenerative diseases, such as Alzheimer's disease (AD). Little is known about the co-existence of these two conditions but distinguishing dementia due to MS alone from a coexisting neurodegenerative disease is challenging. Amyloid PET imaging has allowed improved AD diagnosis, especially in patients with atypical presentations or multiple possible causes of cognitive impairment. Amyloid PET demonstrates increased cortical signal in AD, whereas reductions in subcortical uptake are associated with demyelination. To the authors knowledge, there are no reports of clinical Amyloid PET use in MS patients with dementia.

methodsHere, three MS patients presenting to the Cognitive Neurology Clinic with progressive cognitive impairment are described. Due to lack of diagnostic clarity from standard investigations, they underwent Amyloid PET Imaging with

resultsTwo patients were diagnosed with AD based on positive Amyloid PET imaging and were subsequently started on cholinesterase inhibitor treatment. The other patient had a negative scan, leading to further investigations and identification of another potential cause of worsening cognitive impairment.

conclusionsThe experience from this case series suggests that Amyloid PET Imaging may be of diagnostic value in selected patients with MS and dementia. In these individuals, it may provide diagnostic clarity and assist with therapeutic decisions.

Indexed as

Alzheimer DiseaseCognitive DysfunctionMultiple SclerosisNeurodegenerative DiseasesAmyloidAmyloid beta-PeptidesAniline CompoundsHumansPositron-Emission TomographyAmyloidAmyloid beta-PeptidesAniline CompoundsAlzheimer’s diseaseDementiaMultiple sclerosisPET imaging

Identifiers

PMID32556533
PMCPMC7578168
OpenAlexW3036856941

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.