Evidence map›Paper›PMID 36011258›Full record

ArticleGenes2022

A Novel Method for Detecting Duchenne Muscular Dystrophy in Blood Serum of

Nicole M Ralbovsky, Paromita Dey, Andrew Galfano, Bijan K Dey, Igor K Lednev

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Nicole M RalbovskyDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
Paromita DeyThe RNA Institute, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
Andrew GalfanoDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
Bijan K DeyThe RNA Institute, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
Igor K LednevDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.ORCID 0000-0002-6504-531X
University at Albany, State University of New York · US

Funding

Dynamic m6A mRNA modification regulates skeletal muscle function in Duchenne Muscular DystrophyR15AR074728 · NIAMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI DEY, BIJAN K · 2019 to 2019
$448k
N6-Methyladenosine RNA Methylation in MyogenesisR21AR078526 · NIAMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI DEY, BIJAN K · 2021 to 2021
$378k
National Institute of Health T32 GM13206NIAMS NIH HHS R15 AR074728NIAMS NIH HHS R21 AR078526
6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is the most common form of muscular dystrophy, typically affecting males in infancy. The disease causes progressive weakness and atrophy of skeletal muscles, with approximately 20,000 new cases diagnosed yearly. Currently, methods for diagnosing DMD are invasive, laborious, and unable to make accurate early detections. While there is no cure for DMD, there are limited treatments available for managing symptoms. As such, there is a crucial unmet need to develop a simple and non-invasive method for accurately detecting DMD as early as possible. Raman spectroscopy with chemometric analysis is shown to have the potential to fill this diagnostic need.

Indexed as

Muscular Dystrophy, DuchenneAnimalsMaleMiceMice, Inbred C57BLMice, Inbred mdxMuscle, SkeletalSerumchemometricsDuchenne muscular dystrophyearly diagnosisRaman spectroscopyskeletal muscle

Identifiers

PMID36011258
PMCPMC9407179
OpenAlexW4288068613

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.