Evidence map›Paper›PMID 39711078›Full record

ReviewScience progress

Interventional treatment of right lower lobe bronchial schwannoma under bronchoscopy: A case report and literature review.

Xiyue Li, Ximiao Yu, Ruiqi Luo, Xun Wang

Abstract readCase ReportsReview
In one paragraph

Review in Science progress. 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. 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.

Xiyue LiDepartment of Pulmonary and Critical Care Medicine, Jiangnan University Medical Center, Nanjing Medical University (Wuxi No.2 People's Hospital) Wuxi, Jiangsu Province, China.
Ximiao YuDepartment of Clinical Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, China.
Ruiqi LuoDepartment of Pulmonary and Critical Care Medicine, Jiangnan University Medical Center, Nanjing Medical University (Wuxi No.2 People's Hospital) Wuxi, Jiangsu Province, China.
Xun WangDepartment of Pulmonary and Critical Care Medicine, Jiangnan University Medical Center, Nanjing Medical University (Wuxi No.2 People's Hospital) Wuxi, Jiangsu Province, China.ORCID 0000-0003-0916-3634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchial schwannoma is a rare benign tumor traditionally managed through surgical resection. This case report describes a 69-year-old Chinese woman with an asymptomatic bronchial schwannoma incidentally discovered during routine health check-up. Computed tomography (CT) and bronchoscopy revealed a broad-based mass (27 mm × 16 mm) at the right lower lobe bronchus, causing complete obstruction of the dorsal segment and severe stenosis (>80%) of the basal segment. Histopathological and immunohistochemical analyses confirmed the diagnosis of schwannoma. The patient underwent a single-session multimodal bronchoscopic treatment combining cryotherapy, high-frequency electrocoagulation, and laser therapy, with minimal bleeding (<5 ml). Post-intervention evaluation showed a fully patent right lower lobe bronchus, and at 8-month follow-up, CT confirmed complete resolution without tumor recurrence. This case demonstrates that carefully planned bronchoscopic intervention can effectively manage selected cases of bronchial schwannoma while preserving lung function and minimizing procedural risks.

Indexed as

Bronchial NeoplasmsBronchoscopyNeurilemmomaAgedFemaleHumansLaser TherapyTomography, X-Ray ComputedBronchial schwannomabronchoscopecryotherapyelectrocoagulationinterventional treatmentlaser therapy

Identifiers

PMID39711078
PMCPMC11672384

What OpenQuestion holds

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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.