Evidence map›Paper›PMID 33566207›Full record

ReviewJournal of bone and mineral metabolism2021

The potential role of lncRNAs in osteoporosis.

Yinxi He, Yanxia Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of bone and mineral metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. [Effect of stretch on taurine upregulated gene 1-mediated miR-545-3p/cannbinoida receptor 2 pathway regulating distraction osteogenesis in rats].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
  4. Review
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  7. Article
  8. Article
  9. Review
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  11. A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Review
  14. 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

2 authors at 1 institution in 1 country.

Yinxi HeDepartment of Orthopaedic Trauma, The Third Hospital of Shijiazhuang, Shijiazhuang, 050000, Hebei, People's Republic of China.
Yanxia ChenDepartment of Endocrinology, The Second Hospital of Hebei Medical University, 215 Hepingxi Road, Shijiazhuang, 050000, Hebei, People's Republic of China. chenbs2013@163.com.ORCID http://orcid.org/0000-0001-6153-3503
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is a common bone disease characterized by low bone mass and deterioration of bone microstructure, which predisposes to higher risks of bone fragility and bone fracture. Long non-coding RNAs (lncRNAs) are a class of RNAs with a length of > 200 nucleotides without protein-coding function, which control the expression of genes and affect multiple biological processes. Accumulating evidence suggests that lncRNAs are widely involved in the molecular mechanisms of osteoporosis. This review aims to summarize the function and underlying mechanism of lncRNAs involved in the development of osteoporosis, and how it contributes to osteoblast and osteoclast function. This knowledge will shed new light on the modulation and potential treatment of osteoporosis.

Indexed as

AnimalsBone RemodelingClinical Trials as TopicHumansOsteoclastsOsteogenesisOsteoporosisRNA, Long NoncodingRNA, Long NoncodingLong non-coding RNAs (lncRNAs)Osteoblast functionOsteoclast functionOsteoporosis

Identifiers

PMID33566207
OpenAlexW3128626470

What OpenQuestion holds

Textmetadata
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.