Evidence map›Paper›PMID 32344505›Full record

ReviewMetabolites2020

Metabolomics in Central Sensitivity Syndromes.

Joseph S Miller, Luis Rodriguez-Saona, Kevin V Hackshaw

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
  14. The Search for Biomarkers in Fibromyalgia.Diagnostics (Basel, Switzerland) · 2021
    Review
  15. Assessing our approach to diagnosing Fibromyalgia.Expert review of molecular diagnostics · 2020
    Review
  16. 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

3 authors at 2 institutions in 1 country.

Joseph S MillerDepartment of Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH 43016, USA.
Luis Rodriguez-SaonaDepartment of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA.
Kevin V HackshawDepartment of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1701 Trinity St, Austin, TX 78712, USA.
Ohio University · USThe Ohio State University · US

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
Columbus Medical Research Foundation (USA) CMRF_2019_KVHNINDS NIH HHS R61 NS117211
6 · The paper itself

Abstract

Central sensitization syndromes are a collection of frequently painful disorders that contribute to decreased quality of life and increased risk of opiate abuse. Although these disorders cause significant morbidity, they frequently lack reliable diagnostic tests. As such, technologies that can identify key moieties in central sensitization disorders may contribute to the identification of novel therapeutic targets and more precise treatment options. The analysis of small molecules in biological samples through metabolomics has improved greatly and may be the technology needed to identify key moieties in difficult to diagnose diseases. In this review, we discuss the current state of metabolomics as it relates to central sensitization disorders. From initial literature review until Feb 2020, PubMed, Embase, and Scopus were searched for applicable studies. We included cohort studies, case series, and interventional studies of both adults and children affected by central sensitivity syndromes. The majority of metabolomic studies addressing a CSS found significantly altered metabolites that allowed for differentiation of CSS patients from healthy controls. Therefore, the published literature overwhelmingly supports the use of metabolomics in CSS. Further research into these altered metabolites and their respective metabolic pathways may provide more reliable and effective therapeutics for these syndromes.

Indexed as

biomarkercentral sensitivitychronic painfibromyalgiafunctional syndromelaboratory diagnosticsmetabolite profilingmetabolomicsoverlapping syndromespain

Identifiers

PMID32344505
PMCPMC7240948
OpenAlexW3019900780

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.