Evidence map›Paper›PMID 35433768›Full record

ArticleFrontiers in medicine2022

Diagnosis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome With Partial Least Squares Discriminant Analysis: Relevance of Blood Extracellular Vesicles.

Alba González-Cebrián, Eloy Almenar-Pérez, Jiabao Xu, Tong Yu, Wei E Huang, Karen Giménez-Orenga, Sarah Hutchinson, Tiffany Lodge, Lubov Nathanson, Karl J Morten and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

12 authors at 5 institutions in 3 countries.

Alba González-CebriánGrupo de Ingeniería Estadística Multivariante, Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain.
Eloy Almenar-PérezDepartment of Pathology, School of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain.
Jiabao XuDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Tong YuDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Wei E HuangDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Karen Giménez-OrengaEscuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain.
Sarah HutchinsonNuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom.
Tiffany LodgeNuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom.
Lubov NathansonKiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States.
Karl J MortenNuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom.
Alberto FerrerGrupo de Ingeniería Estadística Multivariante, Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain.
Elisa OltraDepartment of Pathology, School of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain.
University of Oxford · GBUniversitat Politècnica de València · ESValencia Catholic University Saint Vincent Martyr · ESNova Southeastern University · USScience Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a chronic disease characterized by long-lasting persistent debilitating widespread fatigue and post-exertional malaise, remains diagnosed by clinical criteria. Our group and others have identified differentially expressed miRNA profiles in the blood of patients. However, their diagnostic power individually or in combinations seems limited. A Partial Least Squares-Discriminant Analysis (PLS-DA) model initially based on 817 variables: two demographic, 34 blood analytic, 136 PBMC miRNAs, 639 Extracellular Vesicle (EV) miRNAs, and six EV features, selected an optimal number of five components, and a subset of 32 regressors showing statistically significant discriminant power. The presence of four EV-features (size and

Indexed as

biomarkercarotenoidsextracellular vesicles (EVs)microRNAsmyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)partial least squares-differential analysis (PLS-DA)Raman spectroscopy

Identifiers

PMID35433768
PMCPMC9011062
OpenAlexW4220816900

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.