Evidence map›Paper›PMID 29423616›Full record

Observational studyJournal of neurology2018

Frequency and predictors of post-stroke delirium in PRospective Observational POLIsh Study (PROPOLIS).

P Pasinska, K Kowalska, E Klimiec, A Szyper-Maciejowska, A Wilk, A Klimkowicz-Mrowiec

Open access · greenAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 6 pooled it
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 6 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. [Delirium in stroke: systematic review and meta-analysis].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024
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  5. Associations Between Stroke Localization and Delirium: A Systematic Review and Meta-Analysis.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
    Pooled it
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  7. Risk-predicting and screening tools of post-stroke delirium: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
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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

6 authors at 1 institution in 2 countries.

P PasinskaDepartment of Neurology, University Hospital, Botaniczna 3, 31-503, Krakow, Poland.
K KowalskaDepartment of Neurology, School of Medicine, Jagiellonian University, Botaniczna 3, 31-503, Krakow, Poland.
E KlimiecDepartment of Neurology, University Hospital, Botaniczna 3, 31-503, Krakow, Poland.
A Szyper-MaciejowskaDepartment of Neurology, University Hospital, Botaniczna 3, 31-503, Krakow, Poland.
A WilkDepartment of Neurosurgery and Neurotraumatology, University Hospital, Botaniczna 3, 31-503, Krakow, Poland.
A Klimkowicz-MrowiecDepartment of Neurology, University Hospital, Botaniczna 3, 31-503, Krakow, Poland. Aleksandra.Klimkowicz@mp.pl.ORCID http://orcid.org/0000-0001-7480-5723
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delirium is the most common and serious neurobehavioral complication in acute hospital admissions. Some patients develop signs of delirium but do not meet all diagnostic criteria. Stroke is a major risk factor for delirium. The aim of this prospective study was to build a predictive model for delirium and subsyndromal post-stroke delirium. Patients with stroke were screened for delirium during the first 7 days after admission. Delirium was diagnosed according to DSM-V criteria. Baseline demographic, biochemical, stroke-related data, medications used, neurological deficit, and premorbid cognitive and functional impairment were assessed. 750 consecutive stroke patients (71.75 ± 13.13 years) were recruited; 203 (27.07%) had delirium. In predictive model for delirium MoCA score and white blood count on admission, neglect, vision deficits, physical impairment, and higher comorbidity prior to stroke had the highest predictive value. Subsyndromal delirium was diagnosed in 60 patients. MoCA score and potassium level on admission, and urinary tract infection during hospitalization had the highest predictive value for its development. Delirium occurs in one-fourth of admissions due to stroke; subsyndromal delirium is less prevalent and affects less than one per ten patients. The hyperactive form is the most rare type of delirium. The factors best predicting delirium are easily assessed in everyday practice and their co-occurrence in patients with stroke should alert the treating physician of high risk of delirium.

Indexed as

DeliriumAgedAged, 80 and overCausalityFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSeverity of Illness IndexStrokeDeliriumStrokeSubsyndromal delirium

Identifiers

PMID29423616
OpenAlexW2787468002

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.