Evidence map›Paper›PMID 26543408›Full record

ArticleJournal of inflammation (London, England)2015

E-selectin and vascular cell adhesion molecule-1 as biomarkers of 3-month outcome in cerebrovascular diseases.

Sébastien Richard, Linnéa Lagerstedt, Pierre R Burkhard, Marc Debouverie, Natacha Turck, Jean-Charles Sanchez

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 16% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. The Role of Biomarkers in Atherothrombotic Stroke-A Systematic Review.International journal of molecular sciences · 2021
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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

6 authors at 2 institutions in 2 countries.

Sébastien RichardDepartment of Neurology, Stroke Unit, Nancy University Hospital Center, 29 avenue du Marechal de Lattre de Tassigny-CO n° 34, 54035 Nancy, Cedex France ; Department of Human Protein Sciences, University Medical Center, Rue Michel Servet 1, 1211 Geneva, Switzerland.
Linnéa LagerstedtDepartment of Human Protein Sciences, University Medical Center, Rue Michel Servet 1, 1211 Geneva, Switzerland.
Pierre R BurkhardDepartment of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland.
Marc DebouverieDepartment of Neurology, Stroke Unit, Nancy University Hospital Center, 29 avenue du Marechal de Lattre de Tassigny-CO n° 34, 54035 Nancy, Cedex France.
Natacha TurckDepartment of Human Protein Sciences, University Medical Center, Rue Michel Servet 1, 1211 Geneva, Switzerland.
Jean-Charles SanchezDepartment of Human Protein Sciences, University Medical Center, Rue Michel Servet 1, 1211 Geneva, Switzerland.
University of Geneva · CHCentre Hospitalier Régional et Universitaire de Nancy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation is known to worsen cerebral damage at the acute phase of stroke. In this setting, cell adhesion molecules (CAMs) play a crucial role mediating migration of immune cells into the infarcted area. However, their value in long-term outcome prediction for patients with cerebrovascular diseases (CVD) is less described.

methodsLevels of four CAMs (E-selectin, P-selectin glycoprotein ligand-1, intercellular adhesion molecule-1, and vascular cell adhesion molecule-1 (VCAM-1)) and six other known biomarkers (C-reactive protein (CRP), interleukin-6 (IL-6), N-terminal pro-brain natriuretic peptide (NT-proBNP), troponin I, vasopressin-neurophysin 2-copeptin, and S100 calcium-binding protein B) were measured in a population of patients presenting CVD. Blood collections for analysis were performed within different time windows after stroke onset: 0-6 h, 6-36 h, 2-3 days, 5-7 days, and 2-3 weeks. Independent associations with poor outcome at 3 months (modified Rankin Scale score > 2) were sought using univariate and multivariate analysis after adjustments for age and National Institute of Health Stroke Scale score. Predictive ability of each biomarker has also been assessed with ROC analysis.

resultsOne hundred patients were prospectively included whom 75 presented with ischemic strokes, nine with hemorrhagic strokes and 16 with transient ischemic attacks. During the first 6 h after stroke onset, E-selectin was found to be an independent predictor of 3-month outcome (odds ratio (OR) =24; 95 % confidence interval (95 % CI), 2-354; p = 0.022) (area under the curve (AUC) =78 %), as was VCAM-1 during the third week after onset (OR = 8; 95 % CI, 2-37; p = 0.01) (AUC = 73 %). Associations remained after the exclusion of patients with hemorrhagic strokes and transient ischemic attacks. Independent associations with outcome were also found for CRP (OR = 5; 95 % CI, 1-22; p = 0.023) and IL-6 (OR = 5; 95 % CI, 1-17; p = 0.021) at 2-3 days and for NT-proBNP at 6-36 h (OR = 20; 95 % CI, 1-337; p = 0.04).

conclusionsE-selectin and VCAM-1 were independent predictors of outcome in a population of patients with CVD. The predictive capability of other biomarkers known to be indicators for prognosis also emerged, confirming the study's robustness. CAMs levels could be considered as objective biological criteria for prognosis in CVD.

Indexed as

BiomarkersCell adhesion moleculesCerebrovascular diseaseE-selectinNeuro inflammationOutcomePrognosisStrokeVCAM-1

Identifiers

PMID26543408
PMCPMC4634720
OpenAlexW2131664005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.