Evidence map›Paper›PMID 39421398›Full record

ArticleOTO open

Investigating Predictors of Decannulation Through Endoscopic Approach in Patients With Tracheostomy and Peristomal Subglottic Stenosis.

Nader Wehbi, David Ahmadian, Claire Gleadhill, Helena T Yip

Abstract read
In one paragraph

Article in OTO open. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Nader WehbiCollege of Medicine-Phoenix University of Arizona Phoenix Arizona USA.ORCID 0009-0003-5295-7891
David AhmadianCollege of Medicine-Tucson University of Arizona Tucson Arizona USA.
Claire GleadhillDepartment of Otolaryngology College of Medicine-Tucson, University of Arizona Tucson Arizona USA.
Helena T YipDepartment of Otolaryngology College of Medicine-Tucson, University of Arizona Tucson Arizona USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Peristomal subglottic stenosis (SGS) is a common sequela after tracheostomy, with severe cases precluding decannulation. Predictors of decannulation success in these patients following endoscopic intervention are not well studied. The aim of this study is to investigate predictors of successful decannulation and inform treatment decisions. Study Design: This study is a retrospective case series of 22 adult patients presenting to the senior author with a tracheostomy and peristomal SGS precluding decannulation between 2018 and 2023. Setting: Department of Otolaryngology-Head & Neck Surgery, University of Arizona College of Medicine-Tucson. Methods: Patient demographics, relevant clinical factors, stenosis characteristics, and the number of endoscopic procedures performed were analyzed to identify predictors of successful decannulation. Endoscopic interventions were generally performed 3 months apart with CO Results: Out of the 22 patients in the study, 9 (40.9%) achieved decannulation, all through an endoscopic approach. Body mass index (BMI) and age were identified as significant negative predictors of decannulation success ( Conclusion: A 40.9% decannulation rate was achieved in our cohort. BMI and age were identified as negative predictors of decannulation success. Stenosis characteristics did not significantly affect decannulation outcomes. Further investigation is warranted to establish reliable predictors of decannulation.

Indexed as

decannulationendoscopic treatmentperistomal subglottic stenosistracheostomy

Identifiers

PMID39421398
PMCPMC11483712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.