Evidence map›Paper›PMID 36416957›Full record

ArticleJournal of cancer research and clinical oncology2023

Significance of spread through air spaces in small cell lung cancer.

Lu Han, Zhida Huang, Jing Zhang, Yan Chen, Jue Wang, Yicheng Xiong, Wangchao Yao, Likun Hou, Liping Zhang, Huansha Yu and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. 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
0.4field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

13 authors at 3 institutions in 1 country.

Lu Han *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Zhida Huang *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Jing Zhang *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Yan Chen *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Jue WangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Yicheng XiongDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Wangchao YaoDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Likun HouDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Liping ZhangDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China.
Huansha YuExperimental Animal Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China. jhyuhuansha@126.com.
Nan SongDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China. songnan@tongji.edu.cn.
Zhonghong ZhangRespiration Department II, the First Affiliated Hospital of Shihezi University Medical College, Xinjiang, China. 1064564778@qq.com.
Yuming ZhuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200443, China. ymzhu2005@aliyun.com.
Shanghai Pulmonary Hospital · CNTongji University · CNFirst Affiliated Hospital of Shihezi University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTumor spread through air space (STAS) is a novel pattern of invasion related to poor prognosis in non-small cell cancer (NSCLC). Nevertheless, little is known about the role of STAS in small cell lung cancer (SCLC). We sought to determine whether STAS has a significant effect on recurrence among SCLC patients.

methodsWe collected clinical and follow-up information from 181 resected stage I-III SCLC patients and compared overall survival (OS) and disease-free survival (DFS) between the patients with or without STAS using the Kaplan‒Meier method. To explore the effect of STAS on recurrence, a competing-risk analysis was conducted.

resultsAmong 181 SCLC patients, STAS was observed in 56 (30.94%) patients, and 125 (69.06%) patients did not have STAS. Furthermore, 33 (18.23%) patients had recurrence, including 12 patients with brain metastases. Patients with STAS had worse DFS. The cumulative incidence of any recurrence was higher in patients with STAS than in those without STAS. Univariate and multivariate competing-risk regression analyses revealed that sublobar resection and STAS were independent risk factors for SCLC recurrence (p = 0.009 and p = 0.029 for multivariate analysis, respectively).

conclusionSCLC patients with STAS have worse DFS than SCLC patients without STAS. STAS is an independent prognostic factor in SCLC patients.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaDisease-Free SurvivalHumansMultivariate AnalysisNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesCompeting risk analysisRecurrenceSmall cell lung cancerSpread through air spaceSurgery

Identifiers

PMID36416957
PMCPMC11797411
OpenAlexW4309729753

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.