Evidence map›Paper›PMID 40512030›Full record

ArticleThoracic cancer2025

Enhancing the Precision and Efficiency of Pulmonary Tumor Detection With Robotic-Assisted

Jian Liu, Chuan Xu, Haiyan Li, Bing Niu, Kai Xu, Xia Lu

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Thoracic cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jian LiuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chuan XuDepartment of International Radiology, Northern Jiangsu People's Hospital, Medical School of Yangzhou University, Yangzhou, Jiangsu, China.
Haiyan LiDepartment of Nuclear Medicine, Northern Jiangsu People's Hospital, Medical School of Yangzhou University, Yangzhou, Jiangsu, China.
Bing NiuShanghai Simple Touch Technology Co. Ltd., Shanghai, China.ORCID https://orcid.org/0000-0002-5922-5584
Kai XuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xia LuDepartment of Nuclear Medicine, Northern Jiangsu People's Hospital, Medical School of Yangzhou University, Yangzhou, Jiangsu, China.

Funding

Shanghai Simple Touch Technology Co. Ltd. N/A
6 · The paper itself

Abstract

Sarcomatoid carcinoma, a rare and aggressive form of non-small cell lung cancer, presents diagnostic challenges due to its heterogeneity and atypical features. This case report evaluates robotic-assisted

Indexed as

Fluorodeoxyglucose F18Image-Guided BiopsyLung NeoplasmsPositron Emission Tomography Computed TomographyRobotic Surgical ProceduresAged, 80 and overHumansMaleFluorodeoxyglucose F1818F‐FDG PET/CT‐guided biopsyinterventional radiologylung cancer diagnosismetabolically active lesionsminimally invasive surgeryrobotic‐assisted biopsysarcomatoid carcinoma

Identifiers

PMID40512030
PMCPMC12164195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.