Evidence map›Paper›PMID 39974421›Full record

ArticleTranslational cancer research2025

Establishing a prognostic scoring system and exploring prognostic value of examined lymph node numbers for stage I non-small cell lung cancer: a retrospective study of Surveillance, Epidemiology, and End Results (SEER) database and a Chinese cohort.

Siyuan Wang, Xin Yin, Lingyun Wu, Hao Yu, Zhongjie Lu, Feng Zhao, Danfang Yan, Senxiang Yan

Abstract read
In one paragraph

Article in Translational cancer research, 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

8 authors.

Siyuan WangZhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Xin YinDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lingyun WuDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hao YuZhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Zhongjie LuDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Feng ZhaoDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Danfang YanDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Senxiang YanDivision of Radiotherapy, Department of Radiation Oncology Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is currently no recognized assessment system to predict disease outcomes for stage I non-small cell lung cancer (NSCLC). This research aimed to develop a prognostic scoring system for predicting 5-year overall survival (OS) of individuals with stage I NSCLC following definitive therapeutic intervention. Additionally, the optimal number of examined lymph nodes (ELNs) count for tumors no larger than 30 mm was determined. Methods: Patients (n=22,617) diagnosed with stage I NSCLC from 2007 to 2015 who underwent definitive treatment (pulmonary lobectomy, pulmonary sublobectomy, or radiotherapy) were identified from the Surveillance, Epidemiology, and End Results (SEER) database. There were 400 Chinese patients with stage I NSCLC diagnosed in 2017 enrolled for external validation. The nomogram was constructed based on gradient boosting machine. The optimal ELNs in patients with tumors ≤30 mm and node-negative undergoing pulmonary lobectomy or pulmonary sublobectomy were determined using log-rank test and validated by multivariable analysis. Results: Age at diagnosis, histology, differentiated grade, tumor staging, number of ELNs, and definitive treatment pattern were recognized as important factors for 5-year OS. The prognostic scoring system exhibited superior discrimination accuracy, calibration ability, and net clinical benefit compared to the tumor, node, metastasis (TNM) staging system. For patients with tumors ≤30 mm, more than 10 and 20 ELNs demonstrated the maximum OS difference during lobectomy and sublobectomy, respectively. Conclusions: This prognostic scoring system will anticipate the prognosis of stage I NSCLC patients after radical treatment, thereby offering individualized treatment recommendations for both clinicians and patients. A minimum of 10 ELNs during lobectomy and 20 ELNs during sublobectomy are necessary for small-sized NSCLC.

Indexed as

Lung cancerlymph nodes (LNs)prediction model

Identifiers

PMID39974421
PMCPMC11833396

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LicenceCC BY-NC-ND
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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.