Evidence map›Paper›PMID 39085796›Full record

ArticleBMC cancer2024

Establishment and verification of novel TNM staging system for lung mucinous adenocarcinoma.

Qi-Yue Ge, Chao Zheng, Guo-Chao Zhang, Zhuang-Zhuang Cong, Jing Luo, Yang Xu, Chang-Yong Wang, Chao Luo, Wei Wei, Zhi-Hui Yang and 5 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

15 authors.

Qi-Yue Ge *Department of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.
Chao Zheng *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Guo-Chao Zhang *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhuang-Zhuang CongDepartment of Cardiothoracic Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Jing LuoDepartment of Cardiothoracic Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yang XuDepartment of Cardiothoracic Surgery, Jingling Hospital, Jingling School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Chang-Yong WangDepartment of Cardiothoracic Surgery, Jinling Hospital, Nanjing, China.
Chao LuoDepartment of Cardiothoracic Surgery, Jinling Hospital, Nanjing, China.
Wei WeiDepartment of Esophageal Surgery, Department of Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China.
Zhi-Hui YangDepartment of Pathology, Jinling Hospital, Nanjing, China.
Ming-Ze LiDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.
Yu-Heng WuDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.
Yu-Yang WangDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.
Qi XueDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. xueqi@cicams.ac.cn.
Yi ShenDepartment of Cardiothoracic Surgery, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China. dryishen@nju.edu.cn.

Funding

Beijing Municipal Science & Technology Commission Z211100002921058Beijing Natural Science Foundation J20010Medical Scientific Research Project of Jiangsu Health Commission ZD2021011National High-Level Hospital Clinical Research Funding 2022-PUMCH-C-043National Key R&D Program of China 2022YFC2407404National Natural Science Foundation of China 82002454National Natural Science Foundation of China 82273325Special Research Fund for Central Universities, Peking Union College 2022-I2M-C&T-B-065
6 · The paper itself

Abstract

backgroundLung adenocarcinoma is a high-mortality rate cancer. Within this category, Lung mucinous adenocarcinoma (LMAC) is a rare and distinct subtype of lung adenocarcinoma necessitating further investigation. The study was launched to compare the difference of survival features between LMAC and lung non-mucinous adenocarcinoma (LNMAC) and to investigate the significance and demand for developing a new staging system tailored to LMAC.

methodsThis retrospective study assessed the suitableness of the current staging system for LMAC. It compared the overall survival (OS) between LMAC and LNMAC from 2004 to 2020 (LNMAC: 160,387; LMAC: 6,341) and instituted a novel classification framework for LMAC based on US population. Verification group consisting of patients from two Chinese medical centers from 2010 to 2018 (n = 392) was set to ascertain the applicability of this novel system. The primary endpoint was OS. To minimize the bias, propensity score match (PSM) was employed. Survival analysis and Log-rank test were executed to explore the survival features of LMAC.

resultsThe results indicated that the existed staging system was not suitable for LMAC. Patients diagnosed with LMAC exhibited a superior OS compared to those with LNMAC in stage IA2 (P < 0.0001), IA3 (P < 0.0001), IB (P = 0.0062), IIA (P = 0.0090), IIB (P = 0.0005). In contrast, a worse OS in stage IVA (P = 0.0103) was found in LMAC patients. The novel classification system proposed for LMAC proved to be highly applicable and demonstrated substantial efficacy, as confirmed by the verification group.

conclusionThe newly established classification system was more effective for LMAC, but it necessitates large-scale verification to confirm its applicability and reliability.

Indexed as

Adenocarcinoma, MucinousAdenocarcinoma of LungLung NeoplasmsNeoplasm StagingAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSurvival AnalysisLung mucinous adenocarcinomaOverall survivalPropensity score matchTNM classification system

Identifiers

PMID39085796
PMCPMC11289994

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.