Evidence map›Paper›PMID 37793977›Full record

Trial reportThoracic cancer2023

Development and validation of a nomogram based on preoperative variables for predicting recurrence-free survival in stage IA lung adenocarcinoma.

Jiaxi Xu, Hui Zeng, Guochao Zhang, Renda Li, Zhenlong Yuan, Jingyu Ren, Yufei Huang, Fangzhou Ren, Hao Zhang, Kailun Fei and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Thoracic cancer, 2023. 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. Trial
  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

12 authors.

Jiaxi XuDepartment 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, China.ORCID 0009-0008-7628-0797
Hui ZengDepartment 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, China.ORCID 0000-0002-2076-7458
Guochao ZhangDepartment 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, China.
Renda LiDepartment 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, China.
Zhenlong YuanDepartment 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, China.
Jingyu RenDepartment 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, China.
Yufei HuangDepartment 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, China.
Fangzhou RenDepartment 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, China.
Hao ZhangDepartment 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, China.
Kailun FeiDepartment of Medical Oncology, National Cancer Center-National Clinical Research Center for Cancer-Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-6813-9362
Feiyue FengDepartment 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, China.
Fengwei TanDepartment 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, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to establish a nomogram for predicting risk of recurrence and provide a model for decision-making between lobectomy and sublobar resection in patients with stage IA lung adenocarcinoma.

methodsPatients diagnosed with stage IA lung adenocarcinoma (LUAD) between December 2010 and October 2018 from Cancer Hospital Chinese Academy of Medical Sciences were included. Patients were randomly assigned to training and validation cohorts, accounting for 70% and 30% of the total cases, respectively. We collected laboratory variables before surgery. Univariate and multivariate analyses were performed in the training cohort to identify variables significantly associated with recurrence-free survival (RFS) which were subsequently used to construct a nomogram. Validation was conducted in both cohorts. A receiver operating characteristic curve was used to determine the optional cutoff values of the scores calculated from the nomogram. Patients were then divided into low- and high-risk groups. Survival was performed to determine if the nomogram could guide the operation method.

resultsA total of 543 patients were included in this study. Gender, albumin level, carcinoembryonic antigen level and cytokeratin-19-fragment level were included in the nomogram. In both cohorts, the nomogram stratified the patients into high- and low-risk groups in terms of RFS. In particular, there was a significant difference in RFS between lobectomy and sublobar resection in the high-risk group.

conclusionsGender, albumin level, carcinoembryonic antigen level and cytokeratin-19-fragment level are valuable markers in predicting recurrence and can guide surgical practice in patients with stage IA LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAlbuminsCarcinoembryonic AntigenHumansKeratin-19Neoplasm StagingNomogramsPneumonectomyRetrospective StudiesAlbuminsCarcinoembryonic AntigenKeratin-19lung adenocarcinomanon-small cell lung cancerpreoperative blood parameterssublobar resection

Identifiers

PMID37793977
PMCPMC10626254

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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.