Evidence map›Paper›PMID 28831649›Full record

SynthesisNeuropsychology review2017

Imaging Markers of Post-Stroke Depression and Apathy: a Systematic Review and Meta-Analysis.

Elles Douven, Sebastian Köhler, Maria M F Rodriguez, Julie Staals, Frans R J Verhey, Pauline Aalten

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neuropsychology review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02585349 (Cognition and Affect After Stroke), which is not on this map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 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.

NCT02585349 completednot on this map

Cognition and Affect After Stroke: a Prospective Evaluation of Risks

Typeobservational_patient_registrySponsorMaastricht University Medical CenterRan2013 to 2018Enrolled250ConditionsVascular Cognitive Impairment, Post-stroke Depression, Post-stroke Apathy, Post-stroke Dementia
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Post-Stroke Depression in Patients with Large Spontaneous Intracerebral Hemorrhage.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2021
    Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Observational
  11. The Immunologic Underpinnings of Post-Stroke Depression.Biological psychiatry global open science · 2025
    Review
  12. Article
  13. Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Elles DouvenDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Center Limburg, Maastricht University, Dr. Tanslaan 12, PO Box 616 (DRT 12), 6200 MD, Maastricht, The Netherlands.
Sebastian KöhlerDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Center Limburg, Maastricht University, Dr. Tanslaan 12, PO Box 616 (DRT 12), 6200 MD, Maastricht, The Netherlands.
Maria M F RodriguezHospital Alvaro Cunqueiro, Department of Psychiatry, Complexo Universitario de Vigo, Vigo, Spain.
Julie StaalsDepartment of Neurology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands.
Frans R J VerheyDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Center Limburg, Maastricht University, Dr. Tanslaan 12, PO Box 616 (DRT 12), 6200 MD, Maastricht, The Netherlands.
Pauline AaltenDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Center Limburg, Maastricht University, Dr. Tanslaan 12, PO Box 616 (DRT 12), 6200 MD, Maastricht, The Netherlands. p.aalten@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several brain imaging markers have been studied in the development of post-stroke depression (PSD) and post-stroke apathy (PSA), but inconsistent associations have been reported. This systematic review and meta-analysis aims to provide a comprehensive and up-to-date evaluation of imaging markers associated with PSD and PSA. Databases (Medline, Embase, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews) were searched from inception to July 21, 2016. Observational studies describing imaging markers of PSD and PSA were included. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated to examine the association between PSD or PSA and stroke lesion laterality, type, and location, also stratified by study phase (acute, post-acute, chronic). Other imaging markers were reviewed qualitatively. The search retrieved 4502 studies, of which 149 studies were included in the review and 86 studies in the meta-analyses. PSD in the post-acute stroke phase was significantly associated with frontal (OR 1.72, 95% CI 1.34-2.19) and basal ganglia lesions (OR 2.25, 95% CI 1.33-3.84). Hemorrhagic stroke related to higher odds for PSA in the acute phase (OR 2.58, 95% CI 1.18-5.65), whereas ischemic stroke related to higher odds for PSA in the post-acute phase (OR 0.20, 95% CI 0.06-0.69). Frequency of PSD and PSA is modestly associated with stroke type and location and is dependent on stroke phase. These findings have to be taken into consideration for stroke rehabilitation programs, as this could prevent stroke patients from developing PSD and PSA, resulting in better clinical outcome.

Indexed as

ApathyBiomarkersBrainDepressionHumansObservational Studies as TopicStrokeBiomarkersApathyDepressionImagingMeta-analysisStrokeSystematic review

Identifiers

PMID28831649
PMCPMC5613051

What OpenQuestion holds

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Registered trials

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.