Evidence map›Paper›PMID 28856425›Full record

ArticleJournal of neurology2017

A specific pattern of gray matter atrophy in Alzheimer's disease with depression.

Efstratios Karavasilis, Theodore P Parthimos, John D Papatriantafyllou, Sokratis G Papageorgiou, George Kapsas, Andrew C Papanicolaou, Ioannis Seimenis

Abstract read
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In one paragraph

Article in Journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Influence of Mild White Matter Lesions on Voxel-based Morphometry.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Article
  6. Article
  7. Article
  8. Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
  9. 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

7 authors at 5 institutions in 3 countries.

Efstratios KaravasilisSecond Department of Radiology, University General Hospital 'Attikon', National and Kapodistrian University of Athens, 19 Papadiamantopoulou Street, Athens, 11528, Greece. stratoskaravasilis@yahoo.gr.ORCID http://orcid.org/0000-0002-7291-2231
Theodore P Parthimos3rd Age Day Care Center IASIS, Glyfada, Greece.
John D Papatriantafyllou3rd Age Day Care Center IASIS, Glyfada, Greece.
Sokratis G PapageorgiouSecond Department of Neurology, University General Hospital 'Attikon', National and Kapodistrian University of Athens, Athens, Greece.
George KapsasDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Andrew C PapanicolaouDivision of Clinical Neurosciences, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, USA.
Ioannis SeimenisDepartment of Medical Physics, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Base Training · GRDemocritus University of Thrace · GRErasmus MC · NLNational and Kapodistrian University of Athens · GRUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the high incidence of depressive symptoms in Alzheimer's disease (AD), we conducted a large-sample study to investigate the pattern of gray matter (GM) abnormalities that differentiates depressive from non-depressive AD patients. We included 201 AD patients who underwent MRI assessment and categorized them into depressive and non-depressive subgroups based on the Geriatric Depression Scale (GDS; cut-off score: ≤9). We performed whole-brain voxel-based morphometry analysis in 173 patients after MRI quality control and used between-group comparisons and regression analysis models to analyze the volumetric data controlling for nuisance variables. Depressive AD patients had extensive GM volume loss mainly in the paracentral region, specifically in post- and pre-central gyrus, supplementary motor areas and thalamus compared to non-depressive patients. Similar findings were obtained for the group of 173 patients using regression analysis and GDS score as predictor variable. We provided the first clear demonstration of a unique pattern of GM atrophy that characterizes AD patients with depression which is consistent with regions implicated in the phenomenon of psychomotor retardation that characterizes depression.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAtrophyDepressionFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMental Status and Dementia TestsMiddle AgedRegression AnalysisAlzheimer’s diseaseDepressionGray matter volumetryMRINeuroimaging

Identifiers

PMID28856425
OpenAlexW2751957326

What OpenQuestion holds

Textmetadata
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.