Evidence map›Paper›PMID 25813694›Full record

ReviewTissue engineering. Part B, Reviews2015

Regenerative Medicine Strategies for Esophageal Repair.

Ricardo Londono, Stephen F Badylak

Abstract readReview
In one paragraph

Review in Tissue engineering. Part B, Reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tissue Engineering for Gastrointestinal and Genitourinary Tracts.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Article
  7. Review
  8. Tissue engineering of the gastroesophageal junction.Journal of tissue engineering and regenerative medicine · 2020
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Extracellular Matrix Bioscaffolds for Building Gastrointestinal Tissue.Cellular and molecular gastroenterology and hepatology · 2018
    Review
  14. Article
  15. 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.

Ricardo Londono1 McGowan Institute for Regenerative Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania.
Stephen F Badylak1 McGowan Institute for Regenerative Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania.

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Cellular Approaches to Tissue Engineering/RegenerationT32EB001026 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W, MONGA, SATDARSHAN SINGH · 2003 to 2024
$5.5M
NHLBI NIH HHS 5T32HL076124-09NIBIB NIH HHS 5T32EB001026-09
6 · The paper itself

Abstract

Pathologies that involve the structure and/or function of the esophagus can be life-threatening. The esophagus is a complex organ comprising nonredundant tissue that does not have the ability to regenerate. Currently available interventions for esophageal pathology have limited success and are typically associated with significant morbidity. Hence, there is currently an unmet clinical need for effective methods of esophageal repair. The present article presents a review of esophageal disease along with the anatomic and functional consequences of each pathologic process, the shortcomings associated with currently available therapies, and the latest advancements in the field of regenerative medicine with respect to strategies for esophageal repair from benchtop to bedside.

Indexed as

RegenerationAnimalsDisease Models, AnimalEsophagusHumansRegenerative Medicine

Identifiers

PMID25813694
PMCPMC4533024

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.