Evidence map›Paper›PMID 28828182›Full record

ReviewEFORT open reviews2017

Tendon injuries: Basic science and new repair proposals.

Fan Wu, Michael Nerlich, Denitsa Docheva

Abstract readReview
In one paragraph

Review in EFORT open reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 2 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

121 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  7. Loss of type III collagen has limited effect on tendon healing in young adult mice.Matrix biology : journal of the International Society for Matrix Biology · 2026
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  11. In Vitro Modulation of Murine Tenocyte Behavior by Hyperbaric Oxygen Therapy.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
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  15. Article
  16. Review
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61 more citing papers are in PubMed but not listed here.

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.

Fan WuExperimental Surgery and Regenerative Medicine, Department of Surgery, Ludwig-Maximilians-University (LMU), Munich, Germany.
Michael NerlichDepartment of Trauma Surgery, University Regensburg Medical Center, Regensburg, Germany.
Denitsa DochevaExperimental Trauma Surgery, Department of Trauma Surgery, University Regensburg Medical Center, Regensburg, Germany and Department of Medical Biology, Medical University-Plovdiv, Plovdiv, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendons connect muscles to bones, ensuring joint movement. With advanced age, tendons become more prone to degeneration followed by injuries. Tendon repair often requires lengthy periods of rehabilitation, especially in elderly patients. Existing medical and surgical treatments often fail to regain full tendon function.The development of novel treatment methods has been hampered due to limited understanding of basic tendon biology. Recently, it was discovered that tendons, similar to other mesenchymal tissues, contain tendon stem/progenitor cells (TSPCs) which possess the common stem cell properties.The current strategies for enhancing tendon repair consist mainly of applying stem cells, growth factors, natural and artificial biomaterials alone or in combination. In this review, we summarise the basic biology of tendon tissues and provide an update on the latest repair proposals for tendon tears. Cite this article:

Indexed as

biomaterialscell-based therapygrowth factorsmesenchymal stem cellstendon repairtendon stem/progenitor cells

Identifiers

PMID28828182
PMCPMC5549180

What OpenQuestion holds

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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.