Evidence map›Paper›PMID 38795004›Full record

ArticleThoracic cancer2024

Schwannoma diagnosed by endobronchial ultrasound-guided intranodal forceps biopsy using standard-sized biopsy forceps: A case report.

Keigo Uchimura, Teruaki Ishida, Shumei Kan, Katsuhiko Aoyama, Akira Kisohara, Shingo Ikeda, Kohei Tagawa

Abstract readCase Reports
In one paragraph

Article in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Keigo UchimuraDepartment of Respiratory Medicine, Kasukabe Medical Center, Kasukabe, Japan.ORCID 0000-0001-6379-9583
Teruaki IshidaDepartment of Thoracic Surgery, Kasukabe Medical Center, Kasukabe, Japan.
Shumei KanDepartment of Thoracic Surgery, Kasukabe Medical Center, Kasukabe, Japan.
Katsuhiko AoyamaDepartment of Thoracic Surgery, Kasukabe Medical Center, Kasukabe, Japan.
Akira KisoharaDepartment of Respiratory Medicine, Kasukabe Medical Center, Kasukabe, Japan.
Shingo IkedaDepartment of Thoracic Surgery, Mitsui Memorial Hospital, Chiyoda-ku, Japan.
Kohei TagawaDepartment of Thoracic Surgery, Kasukabe Medical Center, Kasukabe, Japan.

Funding

Japan Society for the Promotion of Science JP22K15698
6 · The paper itself

Abstract

Schwannomas are classified as neurogenic tumors and are the most frequent nerve sheath tumors in the paravertebral mediastinum. Recently, the addition of endobronchial ultrasound-guided intranodal forceps biopsy (EBUS-IFB) using standard-sized biopsy forceps (SBFs) to endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for metastatic lymph nodes in lung cancer patients reportedly improved the quality and quantity of the obtained specimens without significant complications. However, reports on the usefulness of this technique for benign diseases remain scarce. Here we report a case of schwannoma in the middle mediastinum, which was diagnosed by EBUS-IFB using SBFs, despite inadequate specimens obtained via EBUS-TBNA. An 80-year-old woman presented with dyspnea and a 5-cm sized middle mediastinal tumor. EBUS-TBNA and EBUS-IFB using SBFs were performed for histological diagnosis. No complications were associated with the bronchoscopy procedure, and schwannoma was solely diagnosed using the EBUS-IFB specimens. EBUS-IFB using SBFs is potentially useful for diagnosing benign diseases, including schwannomas, which are often difficult to diagnose with EBUS-TBNA.

Indexed as

Endoscopic Ultrasound-Guided Fine Needle AspirationNeurilemmomaAged, 80 and overBronchoscopyFemaleHumansMediastinal NeoplasmsSurgical Instrumentsendobronchial ultrasound‐guided intranodal forceps biopsyendobronchial ultrasound‐guided transbronchial needle aspirationmediastinal tumorneurogenic tumorschwannoma

Identifiers

PMID38795004
PMCPMC11219282

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Registered trials

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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.