Evidence map›Paper›PMID 39595521›Full record

ArticleBiomolecules2024

Circulating Blood-Brain Barrier Proteins for Differentiating Ischaemic Stroke Patients from Stroke Mimics.

Pragati Kakkar, Meaad Almusined, Tarun Kakkar, Theresa Munyombwe, Linetty Makawa, Kirti Kain, Ahamad Hassan, Sikha Saha

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  4. Science advances · 2025
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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

8 authors.

Pragati KakkarLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0001-5751-4959
Meaad AlmusinedLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0009-0003-5922-6549
Tarun KakkarSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK.
Theresa MunyombweLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Linetty MakawaLeeds Teaching Hospitals NHS Trust, Leeds LS1 3EX, UK.
Kirti KainNHS England-North-East and Yorkshire, Professional Standards, Leeds LS2 7UE, UK.
Ahamad HassanLeeds Teaching Hospitals NHS Trust, Leeds LS1 3EX, UK.
Sikha SahaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.

Funding

King Saud University, Saudi Arabia Not knownMedical Research Council, United Kingdom MR/Y503460/1
6 · The paper itself

Abstract

backgroundStroke is one of the leading causes of death and disability worldwide. The diagnosis of stroke remains largely clinical, yet widely used stroke scoring systems and brain imaging do not satisfactorily allow the distinction of ischaemic stroke (IS) patients from stroke mimics (SMs). Blood biomarkers are promising tools that could facilitate clinical triage.

methodsThis study recruited 66 patients with IS and 24 SMs. The levels of Glial fibrillary acidic protein (GFAP), Neuron-specific enolase (NSE), Neurofilament light chain (NfL) and blood-brain barrier (BBB) proteins [Occludin (OCLN), Zonula occludens 1 (ZO-1), Claudin-5] in blood serum were measured by enzyme-linked immunosorbent assay technique. Biomarker levels in IS patients and SMs were compared using the Mann-Whitney U test. Multivariable logistic regression analysis was used to evaluate the diagnostic performance of biomarkers in combination with the National Institutes of Health Stroke Scale (NIHSS) score.

resultsMore significant differences in circulating GFAP, NfL, OCLN, ZO-1, and Claudin-5 but not NSE were found in IS patients compared to SMs. A combination of circulating ZO-1, Claudin-5, and OCLN with NIHSS score gives the highest diagnostic accuracy, sensitivity, and specificity.

conclusionsA prediction model with circulating BBB proteins in combination with NIHSS score differentiates between IS patients and SMs.

Indexed as

BiomarkersBlood-Brain BarrierIschemic StrokeAgedBrain IschemiaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedStrokeBiomarkersbiomarkerblood-brain barrierGlial Fibrillary Acidic Proteinischaemic strokeNIHSS

Identifiers

PMID39595521
PMCPMC11592266

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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.