Evidence map›Paper›PMID 23781896›Full record

ReviewOral diseases2014

Emerging landscape of non-coding RNAs in oral health and disease.

P Perez, S I Jang, I Alevizos

Abstract readReview
In one paragraph

Review in Oral diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Epigenetics and bone diseases.Genetics research · 2018
    Review
  6. Review
  7. Review
  8. Review
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 1 institution in 1 country.

P PerezSjögren's Clinic, Molecular Physiology & Therapeutics, National Institute of Dental and Craniofacial Research, Bethesda, MD, USA.
S I Jang
I Alevizos
National Institute of Dental and Craniofacial Research · US

Funding

Clinical Investigations of Sjogren's SyndromeZIADE000704 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI WARNER, BLAKE · 2009 to 2025
$22.3M
MicroRNA effect on salivary flow of Sjogren's syndrome patientsZIADE000733 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ALEVIZOS, ILIAS · 2010 to 2017
$5.2M
Intramural NIH HHS ZIA DE000733
6 · The paper itself

Abstract

The world of non-coding RNAs has only recently started being discovered. For the past 40 years, coding genes, mRNA, and proteins have been the center of cellular and molecular biology, and pathologic alterations were attributed to either the aberration of gene sequence or altered promoter activity. It was only after the completion of the human genome sequence that the scientific community started seriously wondering why only a very small portion of the genome corresponded to protein-coding genes. New technologies such as the whole-genome and whole-transcriptome sequencing demonstrated that at least 90% of the genome is actively transcribed. The identification and cataloguing of multiple kinds of non-coding RNA (ncRNA) have exponentially increased, and it is now widely accepted that ncRNAs play major biological roles in cellular physiology, development, metabolism, and are also implicated in a variety of diseases. The aim of this review is to describe the two major classes (long and short forms) of non-coding RNAs and describe their subclasses in terms of function and their relevance and potential in oral diseases.

Indexed as

RNA, UntranslatedHumansMouth DiseasesOral HealthRNA, Untranslatedlong non-coding RNAnon-coding RNAsoral diseasesshort non-coding RNA

Identifiers

PMID23781896
PMCPMC3825782
OpenAlexW2052500808

What OpenQuestion holds

Textmetadata
LicenceTDM
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.