Evidence map›Paper›PMID 30783962›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2019

High-Throughput Profiling of Circulating Antibody Signatures for Stroke Diagnosis Using Small Volumes of Whole Blood.

Grant C O'Connell, Phillip Stafford, Kyle B Walsh, Opeolu Adeoye, Taura L Barr

Open access · bronzeAbstract read
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Large-scale informatic analysis to algorithmically identify blood biomarkers of neurological damage.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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 at 3 institutions in 1 country.

Grant C O'ConnellSchool of Nursing, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio, 44106-4904, USA. grant.oconnell@case.edu.ORCID 0000-0002-2642-6670
Phillip StaffordBiodesign Institute, Arizona State University, Tempe, Arizona, USA.
Kyle B WalshDepartment of Emergency Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Opeolu AdeoyeDepartment of Emergency Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Taura L BarrValtari Bio Incorporated, Morgantown, West Virginia, USA.
University of Cincinnati · USArizona State University · USCase Western Reserve University · US

Funding

Cerebrovascular Fellowship Training ProgramT32NS047996 · NINDS · UNIVERSITY OF CINCINNATI · PI Joseph Paul Broderick, Stacie Demel · 2006 to 2026
$3.7M
NINDS NIH HHS T32 NS047996
6 · The paper itself

Abstract

Accurate stroke recognition during triage can streamline care and afford patients earlier access to life-saving interventions. However, the tools currently available to clinicians for prehospital and early in-hospital identification of stroke are limited. The peripheral immune system is intricately involved in stroke pathology and thus may be targetable for the development of immunodiagnostics. In this preliminary study, we sought to determine whether the circulating antibody pool is altered early in stroke, and whether such alterations could be leveraged for diagnosis. One hundred microliters of peripheral whole blood was sampled from 19 ischemic stroke patients, 17 hemorrhagic stroke patients, and 20 stroke mimics in the acute phase of care. A custom-fabricated high-density peptide array comprising 125,000 unique probes was used to assess the binding characteristics of blood-borne antibodies, and a random forest-based approach was used to select a parsimonious set of probes with an optimal ability to discriminate between groups. The coordinate antibody binding intensities of the top 17 probes identified in our analysis displayed an ability to differentiate the total pool of stroke patients from stroke mimics with 92% sensitivity and 90% specificity, as well as detect hemorrhage with 88% sensitivity and 87% specificity, as determined using a same-set cross-validation. These preliminary findings suggest that stroke-associated alterations in the circulating antibody pool may have clinical utility for diagnosis during triage, and that such a possibility warrants further investigation.

Indexed as

AgedAntibodiesBrain IschemiaCerebral HemorrhageDiagnosis, DifferentialFemaleHigh-Throughput Screening AssaysHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityStrokeAntibodiesBiomarkersimmunologymachine-learningmolecular diagnosticsproteomicstriage

Identifiers

PMID30783962
PMCPMC6694452
OpenAlexW2917374892

What OpenQuestion holds

Textmetadata
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.