Evidence map›Paper›PMID 27547444›Full record

ReviewMilitary Medical Research2016

Regenerative medicine in China: main progress in different fields.

Biao Cheng, Shu-Liang Lu, Xiao-Bing Fu

Abstract readReview
In one paragraph

Review in Military Medical Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

3 authors.

Biao ChengMedical College of PLA, General Hospital of PLA, College of Life Sciences, Beijing, 100853 China ; The Key Laboratory of Trauma Treatment & Tissue Repair of Tropical Area of PLA, Guangzhou, 510010 China.
Shu-Liang LuShanghai Burns Institute, Ruijing Hospital, Shanghai Jiaotong University, Shanghai, 200025 China.
Xiao-Bing FuMedical College of PLA, General Hospital of PLA, College of Life Sciences, Beijing, 100853 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerative medicine (RM) is an emerging interdisciplinary field of research and China has developed the research quickly and impressed the world with numerous research findings in stem cells, tissue engineering, active molecules and gene therapy. Important directions are induced differentiation of induced pluripotent stem and embryo stem cells as well as somatic stem cell differentiation potential and their application in trauma, burns, diseases of aging and nerve regeneration. The products ActivSkin and bone repair scaffolds have been approved and are applied in the clinic, and similar products are being studied. About 10 engineered growth-factor drugs for repair and regeneration have been approved and are used in the clinic. Gene therapy, therapeutic cloning and xenotransplantation are some of the strategies being studied. However, China needs to develop standards, regulations and management practices suitable for the healthy development of RM. Aspects that should be strengthened include sound administrative systems, laws, and technical specifications and guidelines; conservation of stem cell resources; emphasis on training and retention of talented stem cell researchers; and reasonable allocation of resources, diversification of investment and breakthroughs in key areas. Finally, broad and deep international cooperation is necessary.

Indexed as

ChinaRegenerative medicineStem cellsTissue engineering

Identifiers

PMID27547444
PMCPMC4990848

What OpenQuestion 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 OpenQuestion graph.