Evidence map›Paper›PMID 39062021›Full record

ArticleBiomedicines2024

Surface-Enhanced Raman Spectroscopy Combined with Multivariate Analysis for Fingerprinting Clinically Similar Fibromyalgia and Long COVID Syndromes.

Shreya Madhav Nuguri, Kevin V Hackshaw, Silvia de Lamo Castellvi, Yalan Wu, Celeste Matos Gonzalez, Chelsea M Goetzman, Zachary D Schultz, Lianbo Yu, Rija Aziz, Michelle M Osuna-Diaz and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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

14 authors.

Shreya Madhav NuguriDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.
Kevin V HackshawDepartment of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA.ORCID 0000-0002-9780-7171
Silvia de Lamo CastellviDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.
Yalan WuDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.
Celeste Matos GonzalezDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.
Chelsea M GoetzmanDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Zachary D SchultzDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-1741-8801
Lianbo YuCenter of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Rija AzizDepartment of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA.
Michelle M Osuna-DiazDepartment of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA.
Katherine R SebastianDepartment of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA.
W Michael BrodeCenter of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.ORCID 0009-0007-0930-478X
Monica M GiustiDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-2348-3530
Luis Rodriguez-SaonaDepartment of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA.

Funding

Objective tests utilizing Vibrational Spectroscopy for Diagnosis and Severity of Fibromyalgia and Related Pain SyndromesR61NS117211 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI HACKSHAW, KEVIN VICTOR, RODRIGUEZ-SAONA, LUIS E · 2020 to 2020
$1.5M
National Institute of Health GR122808National Institute of Health R61NS117211National Science Foundation CHE-2117225NINDS NIH HHS R61 NS117211
6 · The paper itself

Abstract

Fibromyalgia (FM) is a chronic central sensitivity syndrome characterized by augmented pain processing at diffuse body sites and presents as a multimorbid clinical condition. Long COVID (LC) is a heterogenous clinical syndrome that affects 10-20% of individuals following COVID-19 infection. FM and LC share similarities with regard to the pain and other clinical symptoms experienced, thereby posing a challenge for accurate diagnosis. This research explores the feasibility of using surface-enhanced Raman spectroscopy (SERS) combined with soft independent modelling of class analogies (SIMCAs) to develop classification models differentiating LC and FM. Venous blood samples were collected using two supports, dried bloodspot cards (DBS,

Indexed as

dried bloodspot cardsfibromyalgialong COVIDsurface-enhanced Raman spectroscopyvolumetric absorptive micro-sampling

Identifiers

PMID39062021
PMCPMC11275161

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.