Evidence map›Paper›PMID 33817331›Full record

ReviewEuropean stroke journal2021

Prognostic rules for predicting cognitive syndromes following stroke: A systematic review.

Bogna A Drozdowska, Kris McGill, Michael McKay, Roisin Bartlam, Peter Langhorne, Terence J Quinn

Open access · hybridAbstract readReview
In one paragraph

Review in European stroke journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Association between pre-stroke frailty status and post-stroke cognitive impairment in patients with acute large artery atherosclerotic cerebral infarction.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    Article
  4. Article
  5. Article
  6. Informing Patients with Acute Stroke About their Risk of Dementia: A Survey of UK Healthcare Professionals.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
    Article
  7. Article
  8. 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 at 2 institutions in 1 country.

Bogna A DrozdowskaInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.ORCID https://orcid.org/0000-0001-5705-7815
Kris McGillInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.ORCID https://orcid.org/0000-0002-0307-1440
Michael McKaySchool of Medicine, Dentistry & Nursing, University of Glasgow, UK.
Roisin BartlamGlasgow Royal Infirmary, National Health Service Greater Glasgow and Clyde, UK.
Peter LanghorneInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Terence J QuinnInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
University of Glasgow · GBNational Health Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStroke survivors are at high risk of developing cognitive syndromes, such as delirium and dementia. Accurate prediction of future cognitive outcomes may aid timely diagnosis, intervention planning, and stratification in clinical trials. We aimed to identify, describe and appraise existing multivariable prognostic rules for prediction of post-stroke cognitive status.

methodWe systematically searched four electronic databases from inception to November 2019 for publications describing a method to estimate individual probability of developing a cognitive syndrome following stroke. We extracted data from selected studies using a pre-specified proforma and applied the Prediction model Risk Of Bias Assessment Tool (PROBAST) for critical appraisal.

findingsOf 17,390 titles, we included 10 studies (3143 participants), presenting the development of 11 prognostic rules - 7 for post-stroke cognitive impairment and 4 for delirium. Most commonly incorporated predictors were: demographics, imaging findings, stroke type and symptom severity. Among studies assessing predictive discrimination, the area under the receiver operating characteristic (AUROC) in apparent validation ranged from 0.80 to 0.91. The overall risk of bias for each study was high. Only one prognostic rule had been externally validated.

Indexed as

cognitioncognitive impairmentdeliriumdementiaprognosisrisk scoreStroke

Identifiers

PMID33817331
PMCPMC7995322
OpenAlexW3131804449

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.