Evidence map›Paper›PMID 41892512›Full record

ReviewGels (Basel, Switzerland)2026

Quantitative Assessment of Hydrogel Printability in Extrusion Bioprinting.

Shengkai Yu, Yang Luo, Shang Chen, Jiashuo Fan, Hua Zhang

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2026. 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. Article
  2. Article
  3. Computational approaches in bioprinting processes.Nature reviews bioengineering · 2026
    Article
  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

5 authors.

Shengkai YuResearch Institute of Smart Medicine and Biological Engineering, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-3998-5412
Yang LuoResearch Institute of Smart Medicine and Biological Engineering, Health Science Center, Ningbo University, Ningbo 315211, China.
Shang ChenResearch Institute of Smart Medicine and Biological Engineering, Health Science Center, Ningbo University, Ningbo 315211, China.
Jiashuo FanResearch Institute of Smart Medicine and Biological Engineering, Health Science Center, Ningbo University, Ningbo 315211, China.
Hua ZhangResearch Institute of Smart Medicine and Biological Engineering, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0001-9131-1434

Funding

the Ningbo Natural Science Foundation 2022J121the Open Foundation of the State Key Laboratory and the Key Laboratory of Polymeric Composite & Functional Materials of Ministry of Education PCFM-2025A02the Science and Technology Innovation 2035 Major Project of Ningbo 2024Z212
6 · The paper itself

Abstract

Extrusion-based 3D bioprinting enables the fabrication of complex tissue structures, yet achieving both high structural fidelity and cell viability remains challenging due to complex bioink rheology and parameter interplay. This review presents a quantitative framework linking hydrogel properties to printing outcomes. Key rheological features-shear-thinning, yield stress, reversible gel-sol transition, self-healing, and creep resistance-are examined for their roles in extrusion and shape retention. We also evaluate printing accuracy using metrics such as filament uniformity and multilayer stability. Advanced models, including Herschel-Bulkley and extrusion pressure models, correlate material parameters with flow dynamics and predict critical factors like wall shear stress. Finally, we propose an integrated assessment system combining material properties, process parameters, and structural fidelity to guide bioink design and printing optimization, advancing the field of hydrogel bioprinting.

Indexed as

3D bioprintinghydrogelprintabilityquantitative assessment

Identifiers

PMID41892512
PMCPMC13025780

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.