Evidence map›Paper›PMID 31162113›Full record

ArticleEBioMedicine2019

Early blood-brain barrier dysfunction predicts neurological outcome following aneurysmal subarachnoid hemorrhage.

Svetlana Lublinsky, Sebastian Major, Vasilis Kola, Viktor Horst, Edgar Santos, Johannes Platz, Oliver Sakowitz, Michael Scheel, Christian Dohmen, Rudolf Graf and 8 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
6.9field-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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 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 10 institutions in 3 countries.

Svetlana LublinskyDepartments of Brain & Cognitive Sciences, Physiology & Cell Biology, Faculty of Health Science, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Sebastian MajorCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Vasilis KolaCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Viktor HorstCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Edgar SantosDepartment of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Germany.
Johannes PlatzDepartment of Neurosurgery, Goethe-University, Frankfurt, Germany.
Oliver SakowitzDepartment of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Germany; Neurosurgery Center Ludwigsburg-Heilbronn, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany.
Michael ScheelDepartment of Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Christian DohmenLVR-Klinik Bonn, Kaiser-Karl-Ring 20, 53111 Bonn, Germany.
Rudolf GrafMultimodal Imaging of Brain Metabolism, Max-Planck-Institute for Metabolism Research, Cologne, Germany.
Hartmut VatterDepartment of Neurosurgery, University Hospital and University of Bonn, Bonn, Germany.
Stefan WolfDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Peter VajkoczyCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Ilan ShelefDepartments of Brain & Cognitive Sciences, Physiology & Cell Biology, Faculty of Health Science, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Diagnostic Imaging, Soroka University Medical Center, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Johannes WoitzikCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Peter MartusInstitute for Clinical Epidemiology and Applied Biometry, University of Tübingen, Germany.
Jens P DreierCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Berlin, Germany.
Alon FriedmanDepartments of Brain & Cognitive Sciences, Physiology & Cell Biology, Faculty of Health Science, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Medical Neuroscience and Brain Repair Center, Dalhousie University, Halifax, Nova Scotia, Canada. Electronic address: alonf@bgu.ac.il.
Charité - Universitätsmedizin Berlin · DEBen-Gurion University of the Negev · ILDalhousie University · CAGoethe University Frankfurt · DEHeidelberg University · DELVR-Klinik Bonn · DEMax Planck Institute for Metabolism Research · DEUniversity Hospital Bonn · DEUniversity Hospital Heidelberg · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease progression and delayed neurological complications are common after aneurysmal subarachnoid hemorrhage (aSAH). We explored the potential of quantitative blood-brain barrier (BBB) imaging to predict disease progression and neurological outcome.

methodsData were collected as part of the Co-Operative Studies of Brain Injury Depolarizations (COSBID). We analyzed retrospectively, blinded and semi-automatically magnetic resonance images from 124 aSAH patients scanned at 4 time points (24-48 h, 6-8 days, 12-15 days and 6-12 months) after the initial hemorrhage. Volume of brain with apparent pathology and/or BBB dysfunction (BBBD), subarachnoid space and lateral ventricles were measured. Neurological status on admission was assessed using the World Federation of Neurosurgical Societies and Rosen-Macdonald scores. Outcome at ≥6 months was assessed using the extended Glasgow outcome scale and disease course (progressive or non-progressive based on imaging-detected loss of normal brain tissue in consecutive scans). Logistic regression was used to define biomarkers that best predict outcomes. Receiver operating characteristic analysis was performed to assess accuracy of outcome prediction models.

findingsIn the present cohort, 63% of patients had progressive and 37% non-progressive disease course. Progressive course was associated with worse outcome at ≥6 months (sensitivity of 98% and specificity of 97%). Brain volume with BBBD was significantly larger in patients with progressive course already 24-48 h after admission (2.23 (1.23-3.17) folds, median with 95%CI), and persisted at all time points. The highest probability of a BBB-disrupted voxel to become pathological was found at a distance of ≤1 cm from the brain with apparent pathology (0·284 (0·122-0·594), p < 0·001, median with 95%CI). A multivariate logistic regression model revealed power for BBBD in combination with RMS at 24-48 h in predicting outcome (ROC area under the curve = 0·829, p < 0·001).

interpretationWe suggest that early identification of BBBD may serve as a key predictive biomarker for neurological outcome in aSAH. FUND: Dr. Dreier was supported by grants from the Deutsche Forschungsgemeinschaft (DFG) (DFG DR 323/5-1 and DFG DR 323/10-1), the Bundesministerium für Bildung und Forschung (BMBF) Center for Stroke Research Berlin 01 EO 0801 and FP7 no 602150 CENTER-TBI. Dr. Friedman was supported by grants from Israel Science Foundation and Canada Institute for Health Research (CIHR). Dr. Friedman was supported by grants from European Union's Seventh Framework Program (FP7/2007-2013; grant #602102).

Indexed as

AdultAgedBiomarkersBlood-Brain BarrierBrainComputed Tomography AngiographyDisease ProgressionEarly DiagnosisFemaleGlasgow Outcome ScaleHumansIntracranial AneurysmMagnetic Resonance ImagingMaleMiddle AgedOdds RatioBiomarkersAneurysmal subarachnoid hemorrhageBlood-brain barrierExtended Glasgow outcome scale (eGOS)LesionLong term outputMagnetic resonance imaging (MRI)

Identifiers

PMID31162113
PMCPMC6558266
OpenAlexW2949022656

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.