Evidence map›Paper›PMID 27917384›Full record

ReviewFrontiers in surgery2016

Genetic Alterations in Intervertebral Disc Disease.

Nikolay L Martirosyan, Arpan A Patel, Alessandro Carotenuto, M Yashar S Kalani, Evgenii Belykh, Corey T Walker, Mark C Preul, Nicholas Theodore

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

Review in Frontiers in surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
11.6field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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7 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

Nikolay L MartirosyanDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute, Phoenix, AZ, USA; Division of Neurosurgery, College of Medicine, University of Arizona, Tucson, AZ, USA.
Arpan A PatelCollege of Medicine - Phoenix, University of Arizona , Phoenix, AZ , USA.
Alessandro CarotenutoCollege of Medicine - Phoenix, University of Arizona , Phoenix, AZ , USA.
M Yashar S KalaniDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute , Phoenix, AZ , USA.
Evgenii BelykhDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute, Phoenix, AZ, USA; Laboratory of Neurosurgery, Irkutsk Scientific Center of Surgery and Traumatology, Irkutsk, Russia; Irkutsk State Medical University, Irkutsk, Russia.
Corey T WalkerDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute , Phoenix, AZ , USA.
Mark C PreulDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute , Phoenix, AZ , USA.
Nicholas TheodoreDepartment of Neurosurgery, St. Joseph's Hospital and Medical Center, Barrow Neurological Institute , Phoenix, AZ , USA.
St. Joseph's Hospital and Medical Center · USUniversity of Arizona · USBarrow Neurological Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntervertebral disc degeneration (IVDD) is considered a multifactorial disease that is influenced by both environmental and genetic factors. The last two decades of research strongly demonstrate that genetic factors contribute about 75% of the IVDD etiology. Recent total genome sequencing studies have shed light on the various single-nucleotide polymorphisms (SNPs) that are associated with IVDD.

aimThis review presents comprehensive and updated information about the diversity of genetic factors in the inflammatory, degradative, homeostatic, and structural systems involved in the IVDD. An organized collection of information is provided regarding genetic polymorphisms that have been identified to influence the risk of developing IVDD. Understanding the proteins and signaling systems involved in IVDD can lead to improved understanding and targeting of therapeutics. MATERIALS AND

methodsAn electronic literature search was performed using the National Library of Medicine for publications using the keywords genetics of IVDD, lumbar disc degeneration, degenerative disc disease, polymorphisms, SNPs, and disc disease. The articles were then screened based on inclusion criteria that included topics that covered the correlation of SNPs with developing IVDD. Sixty-five articles were identified as containing relevant information. Articles were excluded if they investigated lower back pain or just disc herniation without an analysis of disc degeneration. This study focuses on the chronic degeneration of IVDs.

resultsVarious genes were identified to contain SNPs that influenced the risk of developing IVDD. Among these are genes contributing to structural proteins, such as

conclusionWithin the last 10 years, countless new SNPs have been identified in genes previously unknown to be associated with IVDD. Furthermore, the last decade has also revealed new SNPs identified in genes already known to be involved with increased risk of developing IVDD. Improved understanding of the numerous genetic variants behind various pathophysiological elements of IVDD could help advance personalized care and pharmacotherapeutic strategies for patients suffering from IVDD in the future.

Indexed as

back painbiomarkerdegenerationdiscgene expressionherniationpersonalized caresingle-nucleotide polymorphism

Identifiers

PMID27917384
PMCPMC5116693
OpenAlexW2549611298

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.