Evidence map›Paper›PMID 39851313›Full record

ReviewBioengineering (Basel, Switzerland)2025

Integrating Modern Technologies into Traditional Anterior Cruciate Ligament Tissue Engineering.

Aris Sopilidis, Vasileios Stamatopoulos, Vasileios Giannatos, Georgios Taraviras, Andreas Panagopoulos, Stavros Taraviras

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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

6 authors.

Aris SopilidisDepartment of Physiology, School of Medicine, University of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.
Vasileios StamatopoulosDepartment of Physiology, School of Medicine, University of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.
Vasileios GiannatosDepartment of Orthopedics and Traumatology, Sports Medicine Department, University Hospital of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.ORCID 0000-0002-8599-9604
Georgios TaravirasDepartment of Physiology, School of Medicine, University of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.
Andreas PanagopoulosDepartment of Orthopedics and Traumatology, Sports Medicine Department, University Hospital of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.ORCID 0000-0002-8215-9327
Stavros TaravirasDepartment of Physiology, School of Medicine, University of Patras, Asklepiou Street 1, Rio, 26504 Patras, Greece.ORCID 0000-0002-7455-647X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anterior cruciate ligament (ACL) is one of the most injured ligaments, with approximately 100,000 ACL reconstructions taking place annually in the United States. In order to successfully manage ACL rupture, it is of the utmost importance to understand the anatomy, unique physiology, and biomechanics of the ACL, as well as the injury mechanisms and healing capacity. Currently, the "gold standard" for the treatment of ACL ruptures is surgical reconstruction, particularly for young patients or athletes expecting to return to pivoting sports. Although ACL reconstruction boasts a high success rate, patients may face different, serious post-operative complications, depending on the type of graft and technique used in each one of them. Tissue engineering is a multidisciplinary field that could contribute to the formation of a tissue-engineered ACL graft manufactured by a combination of the appropriate stem-cell type, a suitable scaffold, and specific growth factors, combined with mechanical stimuli. In this review, we discuss the aspects that constitute the creation of a successful tissue-engineered graft while also underlining the current drawbacks that arise for each issue. Finally, we highlight the benefits of incorporating new technologies like artificial intelligence and machine learning that could revolutionize tissue engineering.

Indexed as

anterior cruciate ligamentanterior cruciate ligament reconstructionartificial intelligencescaffoldstem cellstissue engineering

Identifiers

PMID39851313
PMCPMC11762506

What OpenQuestion holds

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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.