Evidence map›Paper›PMID 41675517›Full record

ArticleFrontiers in oncology2025

Laryngeal neurofibroma: case report and review of the literature.

Yaya Gao, Wei Mo, Hanwen Zhu, Yunhan Zhang, Hui Yang

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2025. 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

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

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

5 authors.

Yaya Gao *Department of Otolaryngology-Head & Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Wei Mo *Department of Otolaryngology-Head & Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Hanwen ZhuWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Yunhan ZhangWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Hui YangDepartment of Otolaryngology-Head & Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Laryngeal neurofibromatosis (LNF) represents an exceedingly rare manifestation of neurofibromatosis type 1 (NF1), a genetic disorder affecting neural tissue development with an incidence of approximately 1:3000 live births. While NF1 typically presents with cutaneous neurofibromas, laryngeal involvement is exceptional. Methods: A case of LNF associated with NF1 diagnosed at West China Hospital is presented, accompanied by a comprehensive literature review. A 21-year-old female presented with progressive hoarseness over two years. Diagnostic evaluation included physical examination revealing café-au-lait macules and laryngeal submucosal swelling, and computed tomography (CT) identifying a hypodense parapharyngeal space nodule. The patient underwent microlaryngoscopic excision of the mass. Histopathological examination and genetic analysis were performed. Results: Histopathology confirmed the mass as a neurofibroma. Genetic analysis identified a pathogenic NF1 gene mutation. Microlaryngoscopic excision was successful, achieving complete removal with minimal intraoperative bleeding and no vocal cord damage, resulting in a favorable postoperative outcome. Conclusions: This case details the successful diagnosis and management of rare laryngeal neurofibromatosis, confirming microlaryngoscopic excision as an effective approach. The integrated literature review synthesizes current understanding of this rare entity.

Indexed as

case report and literature reviewgenetic testlaryngeal neurofibromatosismicrolaryngoscopic excisionNF1

Identifiers

PMID41675517
PMCPMC12885983

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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.