Evidence map›Paper›PMID 42367385›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Preparation and experimental evaluation of degradable esophageal stents based on novel polylactic acid materials.

Jianye Wang, Zhanhui Du, Xiao Zhu, Jiaxiang Tang, Qiteng Xu, Bei Lv, Bihui He, Quansheng Xing

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

8 authors.

Jianye WangQingdao University, Qingdao, Shandong, China.
Zhanhui DuQingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong, China.
Xiao ZhuQingdao University, Qingdao, Shandong, China.
Jiaxiang TangQingdao University, Qingdao, Shandong, China.
Qiteng XuQingdao University, Qingdao, Shandong, China.
Bei LvQingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong, China.
Bihui HeQingdao Hospital of Peking University People's Hospital, Qingdao, Shandong, China.
Quansheng XingQingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal stricture is a common esophageal disorder in both adults and children. The current standard clinical treatment is endoscopic dilation, which suffers from high recurrence rate and the need for repeated dilation. Although metallic esophageal stents can provide long-term support, they tend to cause complications such as migration, perforation, and bleeding, and require a second surgery for removal. Biodegradable stents are regarded as an ideal alternative because they can maintain esophageal patency and degrade spontaneously. To overcome the limitations of existing stents, this study used L-lactide and ε-caprolactone as main raw materials to prepare crosslinked polymers via ring-opening copolymerization and crosslinking reaction, and incorporated a contrast agent to construct a composite material with both imaging function and biodegradable properties. The material structure was characterized by Fourier-transform infrared spectroscopy, proton nuclear magnetic resonance spectroscopy, and gel permeation chromatography. Furthermore, an anti-migration stent structure was designed and fabricated into a solid stent by compression molding.

Indexed as

compression moldingdegradation propertyesophageal stentpoly(lactide-co-caprolactone)radiopaque property

Identifiers

PMID42367385
PMCPMC13294309

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.