Evidence map›Paper›PMID 30350168›Full record

SynthesisJournal of neurology2019

Biological and imaging predictors of cognitive impairment after stroke: a systematic review.

Barbara Casolla, François Caparros, Charlotte Cordonnier, Stéphanie Bombois, Hilde Hénon, Régis Bordet, Francesco Orzi, Didier Leys

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Predictors of post-stroke cognitive impairment using acute structural MRI neuroimaging: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2023
    Pooled it
  3. Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2022
    Pooled it
  4. Pooled it
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  6. Article
  7. Blood-Based Biomarkers for Post-Stroke Cognitive Impairment.Current issues in molecular biology · 2026
    Review
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  11. Post-stroke cognitive impairment: More than a lesion-symptom model.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
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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

8 authors.

Barbara CasollaDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
François CaparrosDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
Charlotte CordonnierDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
Stéphanie BomboisDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
Hilde HénonDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
Régis BordetDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France.
Francesco OrziNeurology Unit, NESMOS Department, Sapienza University of Rome, Rome, Italy.
Didier LeysDegenerative and Vascular Cognitive Disorders, CHU Lille, Department of Neurology, Roger Salengro Hospital, University Lille, Inserm U1171, 59000, Lille, France. didier.leys@univ-lille.fr.ORCID http://orcid.org/0000-0003-4408-4392

Funding

INSERM U 1171
6 · The paper itself

Abstract

backgroundCognitive impairment is frequent after stroke, and several studies have suggested that biological and imaging characteristics present before stroke are associated with the development of post-stroke cognitive impairment.

objectiveThe aim of our study was to systematically review biological and imaging predictors of cognitive impairment after stroke.

methodStudies were identified from bibliographic databases and reference lists, and were included if conducted in patients with acute stroke, with at least 30 patients, and a follow-up of at least 3 months. We included articles on potential biomarkers of cognitive impairment that pre-existed to stroke.

resultsWe identified 22,169 articles, including 20,349 with abstract. After analysis, 66 studies conducted in 42 cohorts met selection criteria. They included 30-9522 patients [median 170; interquartile range (IQR) 104-251] with a median follow-up of 12 months (IQR 3-36). All studies met quality criteria for description of the study population and standardization of biomarkers. Twenty-nine studies met all quality criteria. There was no convincing evidence that any biological marker may predict cognitive impairment. The most consistent predictors of cognitive impairment after stroke were global atrophy and medial temporal lobe atrophy.

conclusionPre-existing cerebral atrophy is the most consistent predictor of cognitive impairment that can be identified in patients with an acute stroke.

Indexed as

AtrophyBrainCognitive DysfunctionHumansStrokeBrain infarctionCognitive disordersDementiaIntracerebral haemorrhageVascular dementia

Identifiers

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.