Evidence map›Paper›PMID 36782055›Full record

ArticleScientific reports2023

ATR-FTIR spectroscopy of plasma supported by multivariate analysis discriminates multiple sclerosis disease.

Maria Caterina Crocco, María Fernanda Heredia Moyano, Ferdinanda Annesi, Rosalinda Bruno, Domenico Pirritano, Francesco Del Giudice, Alfredo Petrone, Francesca Condino, Rita Guzzi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors at 5 institutions in 1 country.

Maria Caterina CroccoMolecular Biophysics Laboratory, Department of Physics, University of Calabria, 87036, Rende, Italy.
María Fernanda Heredia MoyanoMolecular Biophysics Laboratory, Department of Physics, University of Calabria, 87036, Rende, Italy.
Ferdinanda AnnesiCNR-Nanotec Rende, Via P. Bucci, 87036, Rende, Italy.
Rosalinda BrunoDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036, Rende, CS, Italy.
Domenico PirritanoNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100, Cosenza, Italy.
Francesco Del GiudiceNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100, Cosenza, Italy.
Alfredo PetroneNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100, Cosenza, Italy.
Francesca CondinoDepartment of Economics, Statistics and Finance "Giovanni Anania", University of Calabria, Arcavacata di Rende, CS, Italy.
Rita GuzziMolecular Biophysics Laboratory, Department of Physics, University of Calabria, 87036, Rende, Italy. rita.guzzi@fis.unical.it.
University of Calabria · ITOspedale Annunziata di Cosenza · ITAzienda Ospedaliera Pugliese Ciaccio · ITIstituto di Nanotecnologia · ITIstituto Nanoscienze · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is one of the most common neurodegenerative diseases showing various symptoms both of physical and cognitive type. In this work, we used attenuated total reflection Fourier transformed infrared (ATR-FTIR) spectroscopy to analyze plasma samples for discriminating MS patients from healthy control individuals, and identifying potential spectral biomarkers helping the diagnosis through a quick non-invasive blood test. The cohort of the study consists of 85 subjects, including 45 MS patients and 40 healthy controls. The differences in the spectral features both in the fingerprint region (1800-900 cm

Indexed as

Multiple SclerosisPlasmaSpectroscopy, Fourier Transform InfraredBiomarkersHumansMultivariate AnalysisBiomarkers

Identifiers

PMID36782055
PMCPMC9924868
OpenAlexW4320483627

What Socratic 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 Socratic graph.