Evidence map›Paper›PMID 28634158›Full record

ArticleBone & joint research2017

Stem cell therapy for enhancement of bone consolidation in distraction osteogenesis: A contemporary review of experimental studies.

Y Yang, S Lin, B Wang, W Gu, G Li

Abstract read
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In one paragraph

Article in Bone & joint research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Y YangDepartment of Key Laboratory, Changzhou No.7 People's Hospital, No. 288 Yanling East Road, Changzhou, Jiangsu, China.
S LinDepartment of Orthopaedics and Traumatology, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Prince of Wales Hospital, Shatin, NT, Hong Kong, China.
B WangDepartment of Orthopaedics and Traumatology, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Prince of Wales Hospital, Shatin, NT, Hong Kong, China.
W GuDepartment of Traumatology, Changzhou No.7 People's Hospital, No. 288 Yanling East Road, Changzhou, Jiangsu, China.
G LiDepartment of Orthopaedics and Traumatology, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Prince of Wales Hospital, Shatin, NT, Hong Kong, China gangli@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDistraction osteogenesis (DO) mobilises bone regenerative potential and avoids the complications of other treatments such as bone graft. The major disadvantage of DO is the length of time required for bone consolidation. Mesenchymal stem cells (MSCs) have been used to promote bone formation with some good results.

methodsWe hereby review the published literature on the use of MSCs in promoting bone consolidation during DO.

resultsStudies differed in animal type (mice, rabbit, dog, sheep), bone type (femur, tibia, skull), DO protocols and cell transplantation methods.

conclusionThe majority of studies reported that the transplantation of MSCs enhanced bone consolidation or formation in DO. Many questions relating to animal model, DO protocol and cell transplantation regime remain to be further investigated. Clinical trials are needed to test and confirm these findings from animal studies.

Indexed as

Bone consolidationBone formationDistraction osteogenesisMesenchymal stem cellsTissue engineering

Identifiers

PMID28634158
PMCPMC5492338

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Registered trials

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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.