Evidence map›Paper›PMID 38994759›Full record

ReviewMolecular medicine reports2024

Research progress on long non‑coding RNAs in non‑infectious spinal diseases (Review).

Zhong Ma, Xin Liu, Xianxu Zhang, Shicheng Li, Jiangdong An, Zhiqiang Luo

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Zhong MaDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.
Xin LiuDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.
Xianxu ZhangDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.
Shicheng LiDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.
Jiangdong AnDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.
Zhiqiang LuoDepartment of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal diseases, including intervertebral disc degeneration (IDD), ankylosing spondylitis, spinal cord injury and other non‑infectious spinal diseases, severely affect the quality of life of patients. Current treatments for IDD and other spinal diseases can only relieve symptoms and do not completely cure the disease. Therefore, there is an urgent need to explore the causes of these diseases and develop new treatment approaches. Long non‑coding RNA (lncRNA), a form of non‑coding RNA, is abundant in diverse sources, has numerous functions, and plays an important role in the occurrence and development of spinal diseases such as IDD. However, the mechanism of action of lncRNAs has not been fully elucidated, and significant challenges remain in the use of lncRNAs as new therapeutic targets. The present article reviews the sources, classification and functions of lncRNAs, and introduces the role of lncRNAs in spinal diseases, such as IDD, and their therapeutic potential.

Indexed as

RNA, Long NoncodingSpinal DiseasesAnimalsGene Expression RegulationHumansIntervertebral Disc DegenerationSpinal Cord InjuriesSpondylitis, AnkylosingRNA, Long Noncodingankylosing spondylitisintervertebral disc degenerationlong non‑coding RNAsnon‑coding RNAsspinal cord injury

Identifiers

PMID38994759
PMCPMC11267249

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.