Evidence map›Paper›PMID 35909898›Full record

ArticleJournal of oncology2022

Construction and Validation of a Recurrent Risk Nomogram Model for Non-Small Cell Lung Cancer within 1 Year after Radical Resection.

Dechuang Zeng, Xiqiang Tang, Feng Nong, Jinyuan Yi, Yuanxi Yao, Shiguan Luo

Abstract read
In one paragraph

Article in Journal of oncology, 2022. 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. Article
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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

6 authors.

Dechuang ZengDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.
Xiqiang TangDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.
Feng NongDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.
Jinyuan YiDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.
Yuanxi YaoDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.
Shiguan LuoDepartment of Cardiothoracic Vascular Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities of Baise, Guangxi 533000, China.ORCID https://orcid.org/0000-0003-1430-2918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the risk factors of recurrence within 1 year after radical resection of non-small cell lung cancer (NSCLC) and construct the nomogram model. Methods: The clinical data of 186 patients with NSCLC treated with radical surgery in Affiliated Hospital of Youjiang Medical University for Nationalities of Baise were retrospectively analyzed. Multivariate logistic regression was applied to analyze the risk factors of recurrence within 1 year after radical resection of NSCLC. The R language (R 4.0.3 software package) was used in constructing the nomogram model, and the predictive value of the model was evaluated. Results: The recurrence rate of 186 patients within 1 year after radical surgery was 29.57%. After multivariate logistic regression analysis, pathological stage, number of lymph node metastasis, chronic obstructive pulmonary disease (COPD), postoperative plasma D-dimer, and carcinoembryonic antigen were independent factors for recurrence within 1 year after radical resection of NSCLC ( Conclusion: The recurrence of NSCLC within 1 year after radical surgery was related to a variety of factors, and the nomogram model constructed based on risk factors had good goodness of fit, calibration, consistency of prediction, and prediction efficiency.

Identifiers

PMID35909898
PMCPMC9325597

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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.