Evidence map›Paper›PMID 39209968›Full record

Observational studyScientific reports2024

Improving diagnostic accuracy of the Montreal Cognitive Assessment to identify post-stroke cognitive impairment.

Laura Gallucci, Christoph Sperber, Andreas U Monsch, Stefan Klöppel, Marcel Arnold, Roza M Umarova

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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, 2 syntheses or guidelines pooled it.

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

Laura GallucciDepartment of Neurology, University Hospital, Inselspital, University of Bern, Freiburgstr. 16, 3010, Bern, Switzerland.
Christoph SperberDepartment of Neurology, University Hospital, Inselspital, University of Bern, Freiburgstr. 16, 3010, Bern, Switzerland.
Andreas U MonschFaculty of Psychology, University of Basel, Basel, Switzerland.
Stefan KlöppelUniversity Hospital of Old Age Psychiatry, University of Bern, Bern, Switzerland.
Marcel ArnoldDepartment of Neurology, University Hospital, Inselspital, University of Bern, Freiburgstr. 16, 3010, Bern, Switzerland.
Roza M UmarovaDepartment of Neurology, University Hospital, Inselspital, University of Bern, Freiburgstr. 16, 3010, Bern, Switzerland. roza.umarova@insel.ch.

Funding

Stiftung Synapsis - Alzheimer Forschung Schweiz AFS 2019-PI05
6 · The paper itself

Abstract

Given advantages in reperfusion therapy leading to mild stroke, less apparent cognitive deficits can be overseen in a routine neurological examination. Despite the widespread use of the Montreal Cognitive Assessment (MoCA), age- and education-specific cutoffs for the detection of post-stroke cognitive impairment (PSCI) are not established, hampering its valid application in stroke. We aimed to establish age- and education-specific MoCA cutoffs to better discriminate patients with and without acute PSCI. Patients with acute ischemic stroke underwent the MoCA and a detailed neuropsychological assessment. PSCI was defined as a performance < - 1.5 SD in ≥ 2 cognitive domains. As secondary data analysis, the discriminant abilities of the MoCA

Indexed as

Cognitive DysfunctionMental Status and Dementia TestsStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeuropsychological TestsProspective StudiesROC CurveCutoffIschemic strokeMontreal Cognitive AssessmentPost-stroke cognitive impairment

Identifiers

PMID39209968
PMCPMC11362592

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.