Evidence map›Paper›PMID 35976340›Full record

ArticleActa cirurgica brasileira2022

Comparison of three different self-expanding metal stents using rabbit models for the treatment of tracheal collapse.

Ji-Hyun Kim, Jin-Young Choi, Hun-Young Yoon

Open access · goldAbstract read
In one paragraph

Article in Acta cirurgica brasileira, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 1 institution in 1 country.

Ji-Hyun KimDVM., PhD. Konkuk University - College of Veterinary Medicine - Department of Veterinary Surgery - Seoul, South Korea.ORCID http://orcid.org/0000-0002-5047-0102
Jin-Young ChoiDVM. Konkuk University - College of Veterinary Medicine - Department of Veterinary Surgery - Seoul, South Korea.ORCID http://orcid.org/0000-0002-6493-2857
Hun-Young YoonDVM., PhD. Konkuk University - College of Veterinary Medicine - KU Center for Animal Blood Medical Science - Department of Veterinary Surgery - Seoul, South Korea.ORCID http://orcid.org/0000-0001-8834-952X
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify an optimal self-expandable metallic stent (SEMS) and verify whether a mechanically superior SEMS would result in better clinical outcomes in the treatment of tracheal collapse.

methodsWe selected three SEMS (n = 8 each), including an S-type stent with a wire diameter of 0.006 inches (S6) and two D-type stents with wire diameters of 0.006 (D6) and 0.007 inches (D7). Twenty-four New Zealand White rabbits were divided into three equal groups. After the stents were deployed, the clinical signs were recorded daily, and radiographic examinations were performed monthly. All rabbits were euthanized after three months.

resultsTwo rabbits with S6 stents and one rabbit with a D7 stent died within three months because of stent migration or pneumonia. All rabbits with D6 stents survived for three months. On histological examination, the D6 group had the lowest inflammation score.

conclusionsBoth clinically and histopathologically, the results with D-type stents with a wire diameter of 0.006 inches were superior to those of the other groups (p = 0.001). The use of an optimal intraluminal stent may improve the long-term clinical outcomes in the treatment of tracheal collapse in dogs.

Indexed as

StentsAnimalsDogsRabbitsRetrospective StudiesTreatment Outcome

Identifiers

PMID35976340
PMCPMC9377205
OpenAlexW4290974993

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.