Evidence map›Paper›PMID 36714933›Full record

SynthesisJournal of rehabilitation medicine2023

Predicting Long-Term Cognitive Impairments in Survivors after Cardiac Arrest: A Systematic Review.

Astrid Glimmerveen, Marlous Verhulst, Jeanine Verbunt, Caroline Van Heugten, Jeannette Hofmeijer

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of rehabilitation medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The S100B Protein: A Multifaceted Pathogenic Factor More Than a Biomarker.International journal of molecular sciences · 2023
    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

5 authors.

Astrid GlimmerveenDepartment of Neurology, Rijnstate Hospital, Arnhem; Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede. aglimmerveen@rijnstate.nl.
Marlous VerhulstDepartment of Neurology, Rijnstate Hospital, Arnhem; Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede.
Jeanine VerbuntDepartment of Rehabilitation Medicine, Maastricht University, Care and Public Health Research Institute, Functioning and Rehabilitation; Adelante Centre of Expertise in Rehabilitation and Audiology.
Caroline Van HeugtenDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastrich University; Limburg Brain Injury Center, Maastricht University; Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Jeannette HofmeijerDepartment of Neurology, Rijnstate Hospital, Arnhem; Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInternational guidelines recommend early screening for identification of patients who are at risk of long-term cognitive impairments after cardiac arrest. However, information about predictors is not provided. A systematic review of the literature was performed to identify early predictors of long-term cognitive outcome after cardiac arrest.

methodsScopus and PubMed were systematically searched to identify studies on early predictors of long-term cognitive outcome in patients after cardiac arrest. The population included adult cardiac arrest survivors and potential early predictors were demographics, early cognitive screening scores, imaging measures, electroencephalographic measures, and levels of blood biomarkers. Two investigators reviewed studies for relevance, extracted data and assessed risk of bias.

resultsFive articles were included. Risk of bias was assessed as low or moderate. Most detected longterm cognitive impairments were in the domain of memory. Coma duration (2 studies), early cognitive impairments by the self-developed clinical Bedside Neuropsychological Test Battery (BNTB) screener (2 studies), and high S-100B levels on day 3 (2 studies) were the most prominent identified determinants of cognitive impairment on the group level. On the individual patient level, a score on the BNTB of ≤ 94.5 predicted cognitive impairments at 6 months after cardiac arrest (1 study without external validation). Studies on brain imaging and electroencephalography are lacking.

conclusionEarly bedside cognitive screening can contribute to prediction of long-term cognitive impairment after cardiac arrest. Evidence is scarce for S-100B levels and coma duration and absent for measures derived from brain imaging and electroencephalography.

Indexed as

Cognitive DysfunctionHeart ArrestAdultBrainComaHumansSurvivors

Identifiers

PMID36714933
PMCPMC9900490

What OpenQuestion holds

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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.