Evidence map›Paper›PMID 39727508›Full record

ArticleEuropean journal of investigation in health, psychology and education2024

Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study.

Anna Tsiakiri, Spyridon Plakias, Pinelopi Vlotinou, Aikaterini Terzoudi, Aspasia Serdari, Dimitrios Tsiptsios, Georgia Karakitsiou, Evlampia Psatha, Sofia Kitmeridou, Efstratios Karavasilis and 3 more

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and education, 2024. 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
–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

9 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

13 authors.

Anna TsiakiriDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.ORCID 0000-0003-3341-4093
Spyridon PlakiasDepartment of Physical Education and Sport Science, University of Thessaly, 42100 Trikala, Greece.ORCID 0000-0002-9511-6940
Pinelopi VlotinouDepartment of Occupational Therapy, University of West Attica, 12243 Athens, Greece.ORCID 0000-0002-8828-9093
Aikaterini TerzoudiDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Aspasia SerdariDepartment of Child and Adolescent, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Dimitrios TsiptsiosDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.ORCID 0000-0002-1601-8788
Georgia KarakitsiouDepartment of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Evlampia PsathaDepartment of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Sofia KitmeridouDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Efstratios KaravasilisMedical Physics Laboratory, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Nikolaos AggelousisDepartment of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece.ORCID 0000-0001-5108-7335
Konstantinos VadikoliasDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Foteini ChristidiDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Funding

Operational Program "Competitiveness, Entrepreneurship and Innovation NSRFm2014-2020
6 · The paper itself

Abstract

The growing number of stroke survivors face physical, cognitive, and psychosocial impairments, making stroke a significant contributor to global disability. Various factors have been identified as key predictors of post-stroke outcomes. The aim of this study was to develop a standardized predictive model that integrates various demographic and clinical factors to better predict post-stroke cognitive recovery and depression in patients with ischemic stroke (IS). We included IS patients during both the acute phase and six months post-stroke and considered neuropsychological measures (screening scales, individual tests, functional cognitive scales), stroke severity and laterality, as well as functional disability measures. The study identified several key predictors of post-stroke cognitive recovery and depression in IS patients. Higher education and younger age were associated with better cognitive recovery. Lower stroke severity, indicated by lower National Institutes of Health Stroke Scale (NIHSS) scores, also contributed to better cognitive outcomes. Patients with lower modified Rankin Scale (mRS) scores showed improved performance on cognitive tests and lower post-stroke depression scores. The study concluded that age, education, stroke severity and functional status are the most critical predictors of cognitive recovery and post-stroke emotional status in IS patients. Tailoring rehabilitation strategies based on these predictive markers can significantly improve patient outcomes.

Indexed as

cognitive recoverydemographicsdepressionfunctional statusischemic strokeneuropsychological assessmentpredictive markersstroke severity

Identifiers

PMID39727508
PMCPMC11675357

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.