Evidence map›Paper›PMID 32232104›Full record

ReviewBioelectronic medicine2019

3D-bioprinted tracheal reconstruction: an overview.

Lidia Frejo, Daniel A Grande

Open access · goldAbstract readReview
In one paragraph

Review in Bioelectronic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Tracheal Tissue Engineering: Principles and State of the Art.Bioengineering (Basel, Switzerland) · 2024
    Review
  6. Review
  7. Epidemiology and Long-Term Outcomes in Thoracic Transplantation.Journal of cardiovascular development and disease · 2023
    Review
  8. 3D Bioprinting in Otolaryngology: A Review.Advanced healthcare materials · 2023
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. 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

2 authors at 1 institution in 1 country.

Lidia FrejoOrthopaedic Research Laboratory, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030 USA.
Daniel A GrandeOrthopaedic Research Laboratory, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030 USA.
Feinstein Institute for Medical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital tracheomalacia and tracheal stenosis are commonly seen in premature infants. In adulthood, are typically related with chronic obstructive pulmonary disease, and can occur secondarily from tracheostomy, prolong intubation, trauma, infection and tumors. Both conditions are life-threatening when not managed properly. There are still some surgical limitations for certain pathologies, however tissue engineering is a promising approach to treat massive airway dysfunctions. 3D-bioprinting have contributed to current preclinical and clinical efforts in airway reconstruction. Several strategies have been used to overcome the difficulty of airway reconstruction such as scaffold materials, construct designs, cellular types, biologic components, hydrogels and animal models used in tracheal reconstruction. Nevertheless, additional long-term in vivo studies need to be performed to assess the efficacy and safety of tissue-engineered tracheal grafts in terms of mechanical properties, behavior and, the possibility of further stenosis development.

Indexed as

3D-bioprintingBiomaterialsTracheal reconstruction

Identifiers

PMID32232104
PMCPMC7098220
OpenAlexW2973911742

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.