Evidence map›Paper›PMID 41790023›Full record

ArticleRadiology. Imaging cancer2026

Preoperative Contrast-enhanced CT Features Associated with Occult Lymph Node Metastasis in Early-Stage Solid Non-Small Cell Lung Cancer.

Yuyi Feng, Huangqi Zhang, Jiaqian Yu, Lingxia Wang, Yitian Wu, Lingwei Zhu, Jianchen Zheng, Ying Chen, Jincheng Lai, Hai Yang and 3 more

Abstract read
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Yuyi Feng *School of Medicine, Shaoxing University, Shaoxing 312000, China.
Huangqi Zhang *Department of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang, China.ORCID 0000-0002-2764-4864
Jiaqian YuDepartment of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang, China.
Lingxia WangDepartment of Radiology, Taizhou Hospital of Zhejiang Province, Zhejiang University, Taizhou, China.
Yitian WuSchool of Medicine, Shaoxing University, Shaoxing 312000, China.
Lingwei ZhuDepartment of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang, China.
Jianchen ZhengCollege of Basic Medicine and Forensic Medicine, Hangzhou Medical College, Hangzhou, China.
Ying ChenDepartment of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang, China.ORCID 0009-0006-7860-6565
Jincheng LaiCollege of Basic Medicine and Forensic Medicine, Hangzhou Medical College, Hangzhou, China.
Hai YangDepartment of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang, China.
Tao-Hsin TungEvidence-based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Minghui Cai *Department of Cardiothoracic Surgery, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, China.
Wenbin Ji *School of Medicine, Shaoxing University, Shaoxing 312000, China.ORCID 0000-0002-1609-8925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop and validate a contrast-enhanced CT-based prediction model for identifying occult lymph node metastasis (OLNM) in patients with early-stage non-small cell lung cancer (NSCLC), with the goal of supporting individualized lymph node dissection (LND) strategies. Materials and Methods This retrospective study included patients with preoperative clinical stage I-IIA (cT1-T2bN0M0) solid NSCLC who underwent lobectomy with systematic LND between January 2021 and April 2024. Univariable and multivariable logistic regression analyses were used to identify independent preoperative CT predictors of OLNM and to construct a nomogram. Model performance was assessed using the area under the receiver operating characteristic curve, and specificity was evaluated at a fixed sensitivity of 95%. Results Among 329 patients with solid NSCLC (median age, 65 years; IQR, 58-70 years; 168 male patients), 22.2% (73 of 329) had OLNM, including 47.9% (35 of 73) with N1 and 52.1% (38 of 73) with N2 metastases. Independent predictors of OLNM were a decreased inner margin ratio (odds ratio [OR], 0.02; 95% CI: 0.00, 0.10;

Indexed as

Carcinoma, Non-Small-Cell LungContrast MediaLung NeoplasmsLymphatic MetastasisTomography, X-Ray ComputedAgedFemaleHumansLymph Node ExcisionMaleMiddle AgedNeoplasm StagingNomogramsPreoperative CareRetrospective StudiesSensitivity and SpecificityContrast MediaImaging ModalityLungNeoplasms-PrimaryThorax

Identifiers

PMID41790023
PMCPMC13036687

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.