Evidence map›Paper›PMID 31747888›Full record

SynthesisBMC musculoskeletal disorders2019

Bone mesenchymal stem cell therapy for ovariectomized osteoporotic rats: a systematic review and meta-analysis.

Zhenxiong Jin, Jinman Chen, Bing Shu, Yanhua Xiao, Dezhi Tang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

5 authors.

Zhenxiong JinLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Jinman ChenLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Bing ShuLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Yanhua XiaoJinggangshan University, Ji'an, 343009, China. xyh20040701@126.com.
Dezhi TangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China. dzt702@163.com.ORCID http://orcid.org/0000-0002-6528-0731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have found that bone mesenchymal stem cells (BMSCs) were capable of self-replication, multi-differentiation, and regeneration. The aim of this study was to carry out a systematic review and meta-analysis of the efficacy of BMSC therapy for ovariectomized rats.

methodsThe PubMed, Embase, Web of Science, China National Knowledge Infrastructure, VIP, and Chinese Sinomed databases were searched systematically from their initiation date to October 5, 2018. Two researchers independently screened the literatures, which used the bone mineral density (BMD), total bone volume by total tissue volume (BV/TV) (%), and trabecular thickness/spacing (Tb/Sp) as the outcome measures.

resultsFive eligible studies were selected. In the BMSC treatment groups, the BMD values and normalized BV/TV values remarkably increased. In addition, in the BMSCs plus other treatment groups, the BMD and Tb/Sp values significantly increased.

conclusionThis study showed that BMSCs could accelerate callus maturity, ossification and restore mechanical properties of bones in osteoporotic fractures.

Indexed as

AnimalsFemaleHumansMesenchymal Stem Cell TransplantationOsteoporosis, PostmenopausalOvariectomyRatsRats, Sprague-DawleyBone mesenchymal stem cellsFractureMeta-analysisOsteoporoticOvariectomy

Identifiers

PMID31747888
PMCPMC6868739

What Socratic 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 Socratic graph.