Evidence map›Paper›PMID 42256904›Full record

ArticleCase reports in anesthesiology2026

Airway Management With a GlideScope® Spectrum LoPro Blade in a Child With Giant Facial Rhabdomyosarcoma: A Case Report.

Morio Kosokabe, Satoshi Sunaga, Ayano Sekigawa, Yukitoshi Niiyama

Abstract read
In one paragraph

Article in Case reports in anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Morio KosokabeDepartment of Anesthesiology, Akita Kousei Medical Center, Akita, Japan.ORCID https://orcid.org/0009-0006-9668-0363
Satoshi SunagaDepartment of Anesthesiology and Intensive Care Medicine, Akita University Graduate School of Medicine, Akita, Japan, akita-u.ac.jp.ORCID https://orcid.org/0009-0006-1870-9570
Ayano SekigawaDepartment of Anesthesiology and Intensive Care Medicine, Akita University Graduate School of Medicine, Akita, Japan, akita-u.ac.jp.ORCID https://orcid.org/0009-0001-5321-1288
Yukitoshi NiiyamaDepartment of Anesthesiology and Intensive Care Medicine, Akita University Graduate School of Medicine, Akita, Japan, akita-u.ac.jp.ORCID https://orcid.org/0009-0002-4216-7995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Difficult airways can cause severe hypoxia when inducing general anesthesia unless they are well managed, especially for pediatric patients. Successful management of pediatric difficult airways requires meticulous assessments and preparations. The GlideScope® Spectrum LoPro is a thin, hyperangulated blade. Although its utility has been demonstrated in previous studies on Pierre Robin manikins or patients with severely restricted mouth openings, as yet there have been no case reports on its efficacy for children with difficult airways. We encountered a 14-year-old female patient with giant facial rhabdomyosarcoma who was scheduled for tumor debulking surgery under general anesthesia. Her mouth opening was limited to 2 child finger-widths, with Mallampati Classification IV, meaning an anticipated difficult airway. For this anticipated difficult airway, we prepared several airway devices and planned our possible approaches carefully. When industry-standard options became untenable, we switched to the GlideScope® LoPro blade, completing oral intubation under spontaneous breathing without any complications. This result demonstrated that the GlideScope® Spectrum LoPro blade is useful and effective for at least some forms of difficult airways, with confirmation that it is useful in cases involving giant facial tumors. Its hyperangulated blade offered improved vocal cord visualization. Overall, we have concluded that its use in specialized cases could increase intubation success rates for pediatric patients.

Identifiers

PMID42256904
PMCPMC13239036

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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.