Evidence map›Paper›PMID 27528268›Full record

ArticleEBioMedicine2016

An In Vitro Diagnostic for Multiple Sclerosis Based on C-peptide Binding to Erythrocytes.

Sarah Y Lockwood, Suzanne Summers, Eric Eggenberger, Dana M Spence

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

4 authors at 1 institution in 1 country.

Sarah Y LockwoodDepartment of Chemistry.
Suzanne SummersDepartment of Chemistry.
Eric EggenbergerDepartment of Neurology.
Dana M SpenceDepartment of Chemistry; Department of Cell & Molecular Biology. Electronic address: dspence@chemistry.msu.edu.
Institute of Molecular and Cell Biology · RU

Funding

Modular Microfluidics as an Enhanced Bioanalytical ToolR21EB016379 · NIBIB · MICHIGAN STATE UNIVERSITY · PI SPENCE, DANA M · 2013 to 2014
$393k
NIBIB NIH HHS R21 EB016379
6 · The paper itself

Abstract

objectiveTo investigate the utility of a blood-based lab test as an aid in identifying patients with Multiple Sclerosis (MS).

methodsWhole blood from subjects with MS, non-MS neurologic diseases, and healthy controls was centrifuged to isolate erythrocytes. Following the addition of exogenous C-peptide, the supernatant was assayed for remaining C-peptide using an enzyme linked immunosorbent assay (ELISA).

resultsThe cohort included subjects with MS (n=86), other non-MS neurologic diseases (OND n=75), and healthy controls (n=39). The average C-peptide bound to erythrocytes in MS samples (3.51±0.59pmol) was significantly higher than non-MS subjects (2.23±0.51pmol; p<0.001) and healthy controls (1.99±0.32pmol; p<0.001). Using a cutoff of 3.04pmol of C-peptide uptake, the test exhibited a sensitivity of 98.3% and specificity of 89.5%. A receiver-operator characteristic (ROC) curve generated from the ratio of the sensitivity to 1-selectivity resulted in an area under the curve of 0.97.

conclusionsExogenous C-peptide binding to erythrocytes has potential value in distinguishing MS subjects from non-MS neurologic diseases and healthy controls.

Indexed as

AdultAgedBiomarkersCase-Control StudiesC-PeptideEnzyme-Linked Immunosorbent AssayErythrocytesFemaleHumansIn Vitro TechniquesMaleMiddle AgedMultiple SclerosisProtein BindingROC CurveBiomarkersC-PeptideC-peptideDiagnosticErythrocytesMultiple Sclerosis

Identifiers

PMID27528268
PMCPMC5049924
OpenAlexW2480663282

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.