Evidence map›Paper›PMID 30480230›Full record

ReviewJournal of Alzheimer's disease reports2017

Imaging Biomarkers in Alzheimer's Disease: A Practical Guide for Clinicians.

Nasim Sheikh-Bahaei, Seyed Ahmad Sajjadi, Roido Manavaki, Jonathan Harvey Gillard

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of Alzheimer's disease reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Review
  11. Article
  12. White matter and its relationship with cognition in subjective cognitive decline.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019
    Article
  13. 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

4 authors at 2 institutions in 2 countries.

Nasim Sheikh-BahaeiDepartment of Radiology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Seyed Ahmad SajjadiDepartment of Neurology, University of California Irvine, CA, USA.
Roido ManavakiDepartment of Radiology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Jonathan Harvey GillardDepartment of Radiology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
University of Cambridge · GBUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although recent developments in imaging biomarkers have revolutionized the diagnosis of Alzheimer's disease at early stages, the utility of most of these techniques in clinical setting remains unclear. The aim of this review is to provide a clear stepwise algorithm on using multitier imaging biomarkers for the diagnosis of Alzheimer's disease to be used by clinicians and radiologists for day-to-day practice. We summarized the role of most common imaging techniques and their appropriate clinical use based on current consensus guidelines and recommendations with brief sections on acquisition and analysis techniques for each imaging modality. Structural imaging, preferably MRI or alternatively high resolution CT, is the essential first tier of imaging. It improves the accuracy of clinical diagnosis and excludes other potential pathologies. When the results of clinical examination and structural imaging, assessed by dementia expert, are still inconclusive, functional imaging can be used as a more advanced option. PET with ligands such as amyloid tracers and

Indexed as

Alzheimer’s diseasebiomarkersguidelinesimagingmagnetic resonance imagingpositron emission tomography

Identifiers

PMID30480230
PMCPMC6159632
OpenAlexW2741481567

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.