Evidence map›Paper›PMID 29580173›Full record

ArticleTissue engineering. Part A2018

Reinforced Electrospun Polycaprolactone Nanofibers for Tracheal Repair in an In Vivo Ovine Model.

Jakob M Townsend, Lindsey M Ott, Jean R Salash, Kar-Ming Fung, Jeremiah T Easley, Howard B Seim, Jed K Johnson, Robert A Weatherly, Michael S Detamore

Abstract read
In one paragraph

Article in Tissue engineering. Part A, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Applications of Electrospinning for Tissue Engineering in Otolaryngology.The Annals of otology, rhinology, and laryngology · 2021
    Pooled it
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  8. Development and clinical translation of tubular constructs for tracheal tissue engineering: a review.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
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  15. 3D bioprinting for lungs and hollow organs.Translational research : the journal of laboratory and clinical medicine · 2019
    Review
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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

9 authors at 3 institutions in 1 country.

Jakob M Townsend1 Stephenson School of Biomedical Engineering, University of Oklahoma , Norman, Oklahoma.
Lindsey M Ott2 Bioengineering, University of Kansas , Lawrence, Kansas.
Jean R Salash2 Bioengineering, University of Kansas , Lawrence, Kansas.
Kar-Ming Fung3 Department of Pathology, University of Oklahoma Health Sciences Center , Oklahoma City, Oklahoma.
Jeremiah T Easley4 College of Veterinary Medicine and Biomedical Sciences, Colorado State University , Ft. Collins, Colorado.
Howard B Seim4 College of Veterinary Medicine and Biomedical Sciences, Colorado State University , Ft. Collins, Colorado.
Jed K Johnson5 Nanofiber Solutions , Hilliard, Ohio.
Robert A Weatherly6 Section of Otolaryngology, Department of Surgery, Children's Mercy Hospital , Kansas City, Missouri.
Michael S Detamore1 Stephenson School of Biomedical Engineering, University of Oklahoma , Norman, Oklahoma.
University of Oklahoma · USNanofiber Solutions (United States) · USUniversity of Oklahoma Health Sciences Center · US

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Michael S. Businelle · 2018 to 2026
$27.1M
Off-the-Shelf Patch for Repairing Tracheal StenosisR43HL131367 · NHLBI · NANOFIBER SOLUTIONS, LLC · PI JOHNSON, JED KIZER · 2016 to 2016
$230k
NCI NIH HHS P30 CA225520NHLBI NIH HHS R43 HL131367
6 · The paper itself

Abstract

Tracheal stenosis caused by congenital anomalies, tumors, trauma, or intubation-related damage can cause severe breathing issues, diminishing the quality of life, and potentially becoming fatal. Current treatment methods include laryngotracheal reconstruction or slide tracheoplasty. Laryngotracheal reconstruction utilizes rib cartilage harvested from the patient, requiring a second surgical site. Slide tracheoplasty involves a complex surgical procedure to splay open the trachea and reconnect both segments to widen the lumen. A clear need exists for new and innovative approaches that can be easily adopted by surgeons, and to avoid harvesting autologous tissue from the patient. This study evaluated the use of an electrospun patch, consisting of randomly layered polycaprolactone (PCL) nanofibers enveloping 3D-printed PCL rings, to create a mechanically robust, suturable, air-tight, and bioresorbable graft for the treatment of tracheal defects. The study design incorporated two distinct uses of PCL: electrospun fibers to promote tissue integration, while remaining air-tight when wet, and 3D-printed rings to hold the airway open and provide external support and protection during the healing process. Electrospun, reinforced tracheal patches were evaluated in an ovine model, in which all sheep survived for 10 weeks, although an overgrowth of fibrous tissue surrounding the patch was observed to significantly narrow the airway. Minimal tissue integration of the surrounding tissue and the electrospun fibers suggested the need for further improvement. Potential areas for further improvement include a faster degradation rate, agents to increase cellular adhesion, and/or an antibacterial coating to reduce the initial bacterial load.

Indexed as

Absorbable ImplantsNanofibersPolyestersPrinting, Three-DimensionalAnimalsDisease Models, AnimalFemaleSheepTracheaTracheal StenosispolycaprolactonePolyestersairway stenosis/reconstructiontracheawound healing

Identifiers

PMID29580173
PMCPMC6150933
OpenAlexW2794644644

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.