ReviewBiomedicines2021
Tissue Engineering of the Urethra: From Bench to Bedside.
Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Effects of platelet-rich fibrin on the biological properties of rabbit adipose-derived stem cells in vitro.Journal of molecular histology · 2026Article
- Advancements in pediatric tissue engineering: scaffold-based and cell-driven approaches.Cell and tissue banking · 2026Review
- 3D-Printed Sodium Alginate/Gelatin/Black Phosphorus Nanosheet Hydrogel Patches for Urethral Stricture Repair.International journal of biomaterials · 2026Article
- [Comparison of efficacy and safety of oral mucosa grafts and acellular dermal matrix grafts in the treatment of long-segment urethral stricture].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025Article
- Description of the Human Penile Urethra Epithelium.Medicina (Kaunas, Lithuania) · 2025Article
- Application of decellularized tilapia skin in rabbit urethral reconstruction: an experimental study.Translational andrology and urology · 2025Article
- The effect of platelet-rich fibrin on the biological properties of urothelial cells.Scientific reports · 2024Article
- Biological Macromolecule-Based Scaffolds for Urethra Reconstruction.Biomolecules · 2023Review
- Biomimetic Bilayered Scaffolds for Tissue Engineering: From Current Design Strategies to Medical Applications.Advanced healthcare materials · 2023Review
- [Research advances of three-dimensional bioprinting technology in urinary system tissue engineering].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Tissue engineering (TE) is a promising approach for repair/substitution of damaged tissues and organs. Urethral strictures are common and serious health conditions that impair quality of life and may lead to serious organ damage. The search for ideal materials for urethral repair has led to interest of scientists and surgeons in urethral TE. Over the last decades, a significant amount of preclinical studies and considerable progress have been observed. In contrast, urethral TE has made slow progress in clinical practice so far. To address this, we conducted a systematic review of the literature on clinical applications of TE constructs for urethral repair in the last three decades. In summary, the TE approach is promising and effective, but many issues remain that need to be addressed for broader adoption of TE in urethral repair. Better design of trials, better cooperation of research groups and centralization could lead to reduction of costs and slowly proceed to commercialization and routine use of TE products for urethral reconstruction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.