Evidence map›Paper›PMID 38496696›Full record

ArticleTranslational lung cancer research2024

Imaging performance of thoracic SMARCA4-deficient undifferentiated tumor: a case report and literature review.

Di Yang, Yong Wang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

6 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Immune checkpoint inhibitors have limited efficacy inTranslational lung cancer research · 2025
    Article
  4. Translational lung cancer research · 2025
    Review
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Di YangDepartment of Ultrasound, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yong WangDepartment of Ultrasound, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SMARCA4-deficient undifferentiated tumor (SMARCA4-UT) is a class of high-grade malignant tumors that has only been described in recent years, with an undifferentiated or rhabdoid morphology and genetic deletion of Case Description: Herein, we report a 51-year-old man who came to our hospital with multiple enlarged lymph nodes in the chest after a computed tomography (CT) examination at another hospital. The patient underwent conventional ultrasound (US), contrast-enhanced ultrasound (CEUS), magnetic resonance imaging (MRI), Conclusions: During this procedure, we obtained a series of relevant clinical and imaging data, especially US and CEUS images, which were described for the first time, offering valuable imaging information that will contribute to the clinical diagnosis of this disease to a certain extent. Moreover, this case highlights the efficacy of CEUS in identifying internal necrosis within tumors and lymph nodes, thereby improving the success rate of obtaining tumor tissue for pathological diagnosis. These findings substantiate the practical utility of US and CEUS in the context of mediastinal SMARCA4-UT, emphasizing their potential for widespread clinical adoption.

Indexed as

case reportimage performancemediastinum neoplasmsSMARCA4ultrasonography

Identifiers

PMID38496696
PMCPMC10938102
OpenAlexW4392787690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.