Evidence map›Paper›PMID 33429996›Full record

ReviewBioengineering (Basel, Switzerland)2021

The Role of Collagen-Based Biomaterials in Chronic Wound Healing and Sports Medicine Applications.

David A Yeung, Natalie H Kelly

Open access · goldAbstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Black Sea-Derived Biomaterials for Wound-Healing Applications.International journal of molecular sciences · 2026
    Article
  2. Article
  3. Functional and molecular insights in topical wound healing by ascorbic acid.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  4. Article
  5. [Application progress of collagen membranes in oral medicine].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Biomedical Applications of Collagen.Bioengineering (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

David A YeungSmith+Nephew Inc., 1450 Brooks Road, Memphis, TN 38116, USA.ORCID 0000-0003-1437-0005
Natalie H KellySmith+Nephew Inc., 1450 Brooks Road, Memphis, TN 38116, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in tissue engineering have taken aim at treating tissue types that have difficulty healing naturally. In order to achieve improved healing conditions, the balance of exogenous matrix, cells, and different factors must be carefully controlled. This review seeks to explore the aspects of tissue engineering in specific tissue types treated in sports medicine and advanced wound management from the perspective of the matrix component. While the predominant material to be discussed is collagen I, it would be remiss not to mention its relation to the other contributing factors to tissue engineered healing. The main categories of materials summarized here are (1) reconstituted collagen scaffolds, (2) decellularized matrix tissue, and (3) non-decellularized tissue. These three groups are ordered by their increase in additional components beyond simply collagen.

Indexed as

chronic woundcollagenscaffoldsports medicinetissue regeneration

Identifiers

PMID33429996
PMCPMC7827215
OpenAlexW3119483687

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.