Evidence map›Paper›PMID 38400734›Full record

ArticleEuropean stroke journal2024

Incremental value of serum neurofilament light chain and glial fibrillary acidic protein as blood-based biomarkers for predicting functional outcome in severe acute ischemic stroke.

Christoph Vollmuth, Cornelia Fiessler, Felipe A Montellano, Alexander M Kollikowski, Fabian Essig, Patrick Oeckl, Lorenzo Barba, Petra Steinacker, Cara Schulz, Kathrin Ungethüm and 8 more

Open access · hybridAbstract read
In one paragraph

Article in European stroke journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

18 authors at 4 institutions in 2 countries.

Christoph VollmuthUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.ORCID 0000-0002-5893-1196
Cornelia FiesslerUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Felipe A MontellanoUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.ORCID 0000-0002-9438-0854
Alexander M KollikowskiUniversity Hospital Würzburg, Department of Neuroradiology, Würzburg, Germany.
Fabian EssigUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Patrick OecklUniversity Hospital Ulm, Department of Neurology, Ulm, Germany.
Lorenzo BarbaMartin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany.
Petra SteinackerMartin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany.
Cara SchulzUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Kathrin UngethümUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Judith WolfUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Mirko PhamUniversity Hospital Würzburg, Department of Neuroradiology, Würzburg, Germany.
Michael K SchuhmannUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Peter U HeuschmannUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Karl Georg HaeuslerUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Guido StollUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Markus OttoMartin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany.
Hermann NeugebauerUniversity Hospital Würzburg, Department of Neurology, Würzburg, Germany.
Universitätsklinikum Würzburg · DEZimmer Biomet (Netherlands) · NLMartin Luther University Halle-Wittenberg · DEGerman Center for Neurodegenerative Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBlood-based biomarkers may improve prediction of functional outcome in patients with acute ischemic stroke. The role of neurofilament light chain (NfL) and glial fibrillary acidic (GFAP) as potential biomarkers especially in severe stroke patients is unknown. PATIENTS AND

methodsProspective, monocenter, cohort study including consecutive patients with severe ischemic stroke in the anterior circulation on admission (NIHSS score ⩾ 6 points or indication for mechanical thrombectomy). Outcome was assessed 3 months after the index stroke by the modified Rankin Scale (mRS). Serum biomarkers levels of NfL and GFAP were determined by ultrasensitive ELISA. Univariate and multivariate logistic regression models were performed to determine the association of biomarker levels and functional disability. Discrimination, calibration, and overall performance were analyzed in different models via AUROC, calibration plots (with Emax and Eavg), Brier-score and R2 using variables, identified as important covariates for functional outcome in previous studies.

resultsBetween 06/2020 and 08/2021, 213 patients were included [47% female, mean age 76 (SD ± 12) years, median NIHSS score 13 (interquartile range, IQR 9; 17)]. Biomarker serum levels were measured at a median of 1 [IQR, 1; 2] day after admission. Compared to patients with mRS 0-2 at 3 months, patients with mRS 3-6 had higher serum levels of NfL (median: 136 pg/ml vs 41 pg/ml;

conclusionPrediction of functional outcome after severe acute ischemic stroke was improved by the blood-based biomarkers serum NfL and GFAP, measured in the acute phase of stroke. These findings have to be replicated in independent external cohorts.Study registration: DRKS00022064.

Indexed as

BiomarkersGlial Fibrillary Acidic ProteinIschemic StrokeNeurofilament ProteinsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisProspective StudiesSeverity of Illness IndexBiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsBlood-based biomarkersGFAPischemic strokeNfLpredictionprognosis

Identifiers

PMID38400734
PMCPMC11418447
OpenAlexW4392136668

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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.