Evidence map›Paper›PMID 42782786›Full record

SynthesisCells2026

3D Bioprinting in Anterior Segment Ocular Tissue Engineering: Advances, Challenges, and Translational Pathways-A Systematic Review.

Konstantinos Terlemes, Mikaela Shakalli, Sotiria Palioura

Abstract readSystematic Review
In one paragraph

Synthesis in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Konstantinos TerlemesSchool of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0009-0005-3168-4067
Mikaela ShakalliSchool of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0009-0003-6006-4540
Sotiria PaliouraDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0000-0002-1601-9799

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
National Eye Institute, National Institutes of Health P30EY014801NEI NIH HHS P30 EY014801Research to Prevent Blindness GR004596
6 · The paper itself

Abstract

Bioprinting has been proposed for nearly every structure of the anterior eye, but the effort is unevenly spent. We systematically reviewed 71 experimental studies of bioprinting across the anterior segment: cornea, conjunctiva, sclera, lens, lacrimal gland and eyelid. Most work targets the corneal stroma. The endothelium, the layer most often replaced surgically and the first to reach a clinical trial, accounts for the fewest preclinical studies. Beyond the cornea, printed constructs are mostly disease models rather than implants, and the iris, trabecular meshwork and ciliary body remain untouched. Preclinical testing remains short-term and confined to small animals. Studies measure the same properties in different ways, so constructs cannot be compared across laboratories. We map what has been printed for each tissue and how far each construct stands from the clinic, and propose a minimum reporting set to make the next generation of studies comparable.

Indexed as

Anterior Eye SegmentBioprintingPrinting, Three-DimensionalTissue EngineeringTranslational Research, BiomedicalAnimalsHumansanterior eye segmentbioprintingconjunctivacornealacrimal apparatuslimbal stem cellsocular surfacereporting standardssystematic reviewtissue engineering

Identifiers

PMID42782786
PMCPMC13605772

What OpenQuestion holds

Textmetadata
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.