Evidence map›Paper›PMID 40099091›Full record

ArticleCureus2025

Dysphagia and Dyspnea Caused by a Giant Hyalinizing Trabecular Tumor: A Case Report.

Koji Hayashi, Yuka Nakaya, Yui Yoshida, Maho Hayashi, Rina Izumi, Asuka Suzuki, Mamiko Sato, Ei Kawahara, Yasutaka Kobayashi

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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

9 authors.

Koji HayashiDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Yuka NakayaDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Yui YoshidaDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Maho HayashiDepartment of Internal Medicine, Fukui General Hospital, Fukui, JPN.
Rina IzumiDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Asuka SuzukiDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Mamiko SatoDepartment of Rehabilitation Medicine, Fukui General Hospital, Fukui, JPN.
Ei KawaharaDepartment of Pathology, Fukui General Hospital, Fukui, JPN.
Yasutaka KobayashiGraduate School of Health Science, Fukui Health Science University, Fukui, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the case of a 93-year-old woman with a giant thyroid neoplasm related to dyspnea and dysphagia. The patient visited our hospital for loss of appetite and dyspnea after bronchitis. Computed tomography revealed a massively enlarged thyroid gland compressing the trachea and esophagus. Cytological examination of the thyroid gland revealed features suggestive of hyalinizing trabecular tumor, a low-grade neoplasm. Videofluoroscopic swallowing examination demonstrated significant food retention and reflux in the esophagus, likely caused by upper esophageal compression. Despite recommending thyroidectomy, the patient declined surgery and received conservative and rehabilitative treatment, leading to improvement in her symptoms and discharge after 63 days. Giant thyroid neoplasms can compress surrounding organs, leading to respiratory and swallowing difficulties. The airway's proximity to the thyroid gland makes it particularly vulnerable to compression. This case demonstrates the potential for significant respiratory and swallowing complications associated with large thyroid tumors.

Indexed as

acute dyspneadysphagiahyalinizing trabecular tumorthyroid gland neoplasmthyroid neoplasmvideofluoroscopic

Identifiers

PMID40099091
PMCPMC11913431

What OpenQuestion holds

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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.