Evidence map›Paper›PMID 39958212›Full record

ArticleTranslational lung cancer research2025

Xieraili Wumener, Xiaoxing Ye, Yarong Zhang, Tuya E, Jiuhui Zhao, Ying Liang, Jun Zhao

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The role of SMARCA4 in lung cancer.Scientific reports · 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

7 authors.

Xieraili Wumener *Department of Graduate School, Dalian Medical University, Dalian, China.
Xiaoxing Ye *Department of pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Yarong ZhangDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Tuya EDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Jiuhui ZhaoDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Ying LiangDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Jun ZhaoDepartment of Nuclear Medicine, Shanghai East Hospital Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Our analysis included 23 patients with pathologically confirmed S/B-d NSCLC from January 2021 to December 2023. A retrospective analysis of clinical, serum tumor markers, imaging [including CT, FDG PET/CT, magnetic resonance imaging (MRI)], pathological features, treatment protocols, and follow-up results was performed. Independent samples Results: S/B-d NSCLC occurs predominantly in male patients with a history of smoking and a mean age of 62.78 years (39-77 years). S/B-d NSCLC was found incidentally during physical examination in 56.52% of patients. The CT scan features were as follows: predominantly tumors (72.73%), peripheral in the lungs (77.27%), round or roundish morphology (81.28%), pleural or vascular invasion (95.46%), and moderately to severely enhanced (59.09%). The FDG PET/CT showed FDG-avid with mean SUV Conclusions: S/B-d NSCLC has distinct features in epidemiology, serum tumor markers, imaging, and pathology. In particular, FDG-avid is evident in the FDG PET/CT scan. The size of the lesion and the degree of FDG avidity provide information about the degree of malignancy and the high probability of distant metastasis in S/B-d NSCLC. FDG PET/CT is recommended when S/B-d NSCLC is suspected based on CT features, especially for large lesions. The FDG PET/CT scan can help with accurate staging and individual treatment planning.

Indexed as

computed tomography (CT)lung cancerpositron emission tomography-computed tomography (PET/CT)SMARCA4/BRG1-deficient non-small cell lung cancer (S/B-d NSCLC)

Identifiers

PMID39958212
PMCPMC11826276

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.