Evidence map›Paper›PMID 41542283›Full record

ReviewFrontiers in stroke2024

Linking evidence for targeted blood biomarkers in post-stroke cognitive impairment and dementia.

Jinny Hong, Katherine Mun, Kyle C Kern, Marissa Thirion, Jason D Hinman

Abstract readReview
In one paragraph

Review in Frontiers in stroke, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jinny HongChicago College of Osteopathic Medicine, Midwestern University, Downers Grove, IL, United States.
Katherine MunDepartment of Neurology, West Los Angeles Veteran Affairs Medical Center, Los Angeles, CA, United States.
Kyle C KernDepartment of Neurology, West Los Angeles Veteran Affairs Medical Center, Los Angeles, CA, United States.
Marissa ThirionDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Jason D HinmanDepartment of Neurology, West Los Angeles Veteran Affairs Medical Center, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With improvements in acute stroke treatment and more patients surving the acute stroke period, the identification and prognostication of post-stroke disability is paramount. Post-stroke cognitive impairment and dementia (PSCID) severely impacts the morbidity and mortality of stroke survivors. While clinical factors and imaging are useful in identifying patients at risk for PSCID, blood-based biomarkers are sorely needed to provide cost-effective identification and prognostication for patients at greatest risk. Furthermore, blood-based biomarkers can inform the biologic basis for PSCID and lead to potential treatment targets. This narrative review attempts to summarize currently available research on the use of fluid biomarkers to measure and quantify PSCID using a framework proposed for use in the DISCOVERY Network study of PSCID. In this framework, blood biomarkers are divided into broad pathologic categories including inflammation, neurodegeneration, neuroaxonal injury, and vascular injury. Key biomarkers that have been proposed as relevant to PSCID include interleukin-6, C-reactive protein, β-amyloid 42:40 ratio, neurofilament light chain, and 10 angiogenic molecules. Critical to the assessment of prior studies includes defining the sample collection period and cognitive assessment period of prior studies to assess the temporal pattern of biomarker levels in relation to an incident stroke event. In addition to this comprehensive review, we performed a protein-protein network analysis of the putative blood biomarkers for PSCID and (surprisingly) find they exist in a highly connected protein-protein interaction network centered on inflammatory and neurodegenerative biomarkers suggesting shared biology underlies the pathogenesis of PSCID. Both the literature and this network analysis point to a role for the use of combinatorial blood biomarkers as a methodology to enhance the specificity and sensitivity of putative prognostic biomarkers for PSCID. This review highlights the emerging role for blood biomarkers in evaluating risk for PSCID while also informing the underlying biology that creates synergy between stroke and dementia.

Indexed as

biomarkerscognitive impairmentdementianeuroaxonal injuryneuroinflammationpost-strokevascular dementiavascular injury

Identifiers

PMID41542283
PMCPMC12802771

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Registered trials

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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.