Evidence map›Paper›PMID 37969955›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2023

A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer.

Jing Zhang, Haohua Yao, Chunliu Lai, Xue Sun, Xiujuan Yang, Shurong Li, Yubiao Guo, Junhang Luo, Zhihua Wen, Kejing Tang

Open access · diamondAbstract read
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  11. Non-small cell lung cancer organoids: Advances and challenges in current applications.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
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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

10 authors at 4 institutions in 1 country.

Jing ZhangDivision of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Haohua YaoDepartment of Urology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Chunliu LaiDivision of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Xue SunDepartment of Respiratory and Critical Care Medicine, the Fourth People's Hospital of Shenyang, Shenyang 110031, China.
Xiujuan YangDepartment of Pharmacy, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Shurong LiDepartment of Radiology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Yubiao GuoDivision of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Junhang LuoDepartment of Urology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Zhihua WenDepartment of Radiology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Kejing TangDivision of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNGuangdong Provincial People's Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: DNA methylation alterations are early events in carcinogenesis and immune signalling in lung cancer. This study aimed to develop a model based on short stature homeobox 2 gene ( Methods: We developed a multimodal prediction model with a training set of 257 individuals. The performance of the multimodal prediction model was further validated in an independent validation set of 42 subjects. In addition, we explored the association between Results: There were significant differences between the early-stage lung cancers and benign groups in the methylation levels. The area under a receiver operator characteristic curve (AUC) of Conclusions: The present multimodal prediction model could more efficiently distinguish early-stage lung cancer from benign PNs. A prognostic index based on DNA methylation and lung cancer driver gene alterations may separate the patients into groups with good or poor prognosis.

Indexed as

deep learningearly diagnosisLung neoplasmsprostaglandin E receptor 4short stature homeobox 2

Identifiers

PMID37969955
PMCPMC10643339
OpenAlexW4388676084

What OpenQuestion holds

Textmetadata
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.