Evidence map›Paper›PMID 33140606›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2020

[Low-magnitude vibration promotes osteogenesis of osteoblasts in ovariectomized osteoporotic rats via the estrogen receptor

Guangguang Zhu, Xiaoqin Yu, Jirui Wen, Mingyue Bao, Min Tang, Jingge Wang, Xueling He, Liang Li

Abstract read
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Guangguang ZhuInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Xiaoqin YuInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Jirui WenInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Mingyue BaoInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Min TangInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Jingge WangInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.
Xueling HeLaboratory Animal Center, Sichuan University, Chengdu 610041, P.R.China.
Liang LiInstitute of Biomedical Engineering, West China School of Basic Medical Science & Forensic Medicine, Sichuan University, Chengdu 610041, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate the effect of low-magnitude vibration on osteogenesis of osteoblasts in ovariectomized rats with osteoporosis via estrogen receptor α(ERα). The mRNA expression of osteogenic markers were examined with qRT-PCR, based on which the optimal vibration parameter for promoting osteogenesis was determined (45 Hz × 0.9 g, g = 9.8 m/s

Indexed as

OsteogenesisOsteoporosisAnimalsCell DifferentiationEstrogen Receptor alphaFemaleOsteoblastsOvariectomyRatsVibrationEstrogen Receptor alphaestrogen receptor αlow-magnitude vibrationosteoblastsovariectomized osteoporosis

Identifiers

PMID33140606
PMCPMC10320547

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.