Evidence map›Paper›PMID 34603518›Full record

ReviewExperimental and therapeutic medicine2021

Roles of circular RNAs in the pathogenesis of intervertebral disc degeneration (Review).

Zhidi Lin, Feizhou Lu, Xiaosheng Ma, Xinlei Xia, Fei Zou, Jianyuan Jiang

Open access · diamondAbstract readReview
In one paragraph

Review in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Zhidi LinDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Feizhou LuDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Xiaosheng MaDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Xinlei XiaDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Fei ZouDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Jianyuan JiangDepartment of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower back pain (LBP) is an extremely common symptom and is recognized as a leading contributor to disability and disease burden globally. Intervertebral disc degeneration (IDD) represents a major cause of LBP. However, the molecular mechanisms involved in the pathogenesis of IDD remain unclear, and currently available treatments, including conservative and surgical options, fail to effectively delay, stop or reverse the progression of IDD. Circular RNAs (circRNAs) are a newly discovered group of covalently closed, single-stranded and endogenous non-coding RNAs. A growing body of research has revealed that a number of circRNAs are widely and aberrantly expressed in IDD tissues. Furthermore, they play important roles in the pathogenesis of IDD, including proliferation, apoptosis, senescence, mitophagy, inflammation and extracellular matrix metabolism, mainly by acting as sponges for microRNAs. The present review aims to summarize the current understanding on the mechanisms of circRNA-mediated regulation in IDD.

Indexed as

circular RNAextracellular matrixintervertebral disc degenerationmicroRNA spongenucleus pulposus cell

Identifiers

PMID34603518
PMCPMC8453328
OpenAlexW3195194787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.