Evidence map›Paper›PMID 42091308›Full record

ReviewSeminars in thoracic and cardiovascular surgery. Pediatric cardiac surgery annual2026

Airway Malacia: Stent Innovations and Emerging Ex Vivo Testing Platforms.

Abhijit Mondal, Aditya K Kaza

Abstract readReview
In one paragraph

Review in Seminars in thoracic and cardiovascular surgery. Pediatric cardiac surgery annual, 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

2 authors.

Abhijit MondalDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, Massachusetts.; Department of Surgery, Harvard Medical School, Boston, Massachusetts.
Aditya K KazaDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, Massachusetts.; Department of Surgery, Harvard Medical School, Boston, Massachusetts.. Electronic address: aditya.kaza@cardio.chboston.org.

Funding

Ex vivo and In vivo Model Advancements for Airway Stent Design OptimizationR21EB036775 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ABHIJIT MONDAL · 2025 to 2026
$490k
NIBIB NIH HHS R21 EB036775
6 · The paper itself

Abstract

Tracheobronchomalacia is classified as a benign condition characterized by airway collapse resulting from weakening of the airway walls. Current treatment options range from simpler measures, such as the use of a continuous positive airway pressure machine, to more complex surgeries. Airway stents provide a middle ground in terms of treatment invasiveness and post-procedure recovery. Unfortunately, long-term implantation of stents is not clinically viable due to complications of excessive granulation tissue formation and high impedance to mucociliary clearance. Existing stent systems are not optimally designed for benign airway collapse and do not directly address these complications. Optimally designed helical stents, fabricated from both metallic and non-metallic materials, demonstrate potential to address these complications and offer a system suitable for long-term implantation. While a variety of strategies are being investigated to develop viable stent systems, there is a lack of standardized and precise stent-testing platforms. Recent progress in ex vivo tissue-based platforms shows promise of making meaningful progress in airway stent development.

Indexed as

StentsTracheobronchomalaciaAnimalsHumansMaterials TestingProsthesis Designairway collapseairway stentsex vivo modelsprecision stent testingTracheobronchomalacia

Identifiers

PMID42091308
PMCPMC13150140

What OpenQuestion holds

Textmetadata
LicenceTDM
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.