Evidence map›Paper›PMID 36792074›Full record

GuidelineZhongguo fei ai za zhi = Chinese journal of lung cancer2023

[China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2023 Version)].

Chinese Expert Group on Early Diagnosis and Treatment of Lung Cancer, China Lung Oncology Group

Registry-linked trialAbstract readEnglish AbstractPractice Guideline
In one paragraph

Guideline in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07126626 (Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer), which is not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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.

NCT07126626 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer

TypeobservationalSponsorGene SolutionsRan2025 to 2027Enrolled1,184ConditionsLung Diseases, Lung Cancer Screening
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Chinese Expert Group on Early Diagnosis and Treatment of Lung Cancer
China Lung Oncology Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death in China. The effectiveness of low-dose computed tomography (LDCT) screening has been further validated in recent years, and significant progress has been made in research on identifying high-risk individuals, personalizing screening interval, and management of screen-detected findings. The aim of this study is to revise China national lung cancer screening guideline with LDCT (2018 version). The China Lung Cancer Early Detection and Treatment Expert Group (CLCEDTEG) designated by the China's National Health Commission, and China Lung Oncolgy Group experts, jointly participated in the revision of Chinese lung cancer screening guideline (2023 version). This revision is based on the recent advances in LDCT lung cancer screening at home and abroad, and the epidemiology of lung cancer in China. The following aspects of the guideline were revised: (1) lung cancer risk factors besides smoking were considered for the identification of high risk population; (2) LDCT scan parameters were further classified; (3) longer screening interval is recommended for individuals who had negative LDCT screening results for two consecutive rounds; (4) the follow-up interval for positive nodules was extended from 3 months to 6 months; (5) the role of multi-disciplinary treatment (MDT) in the management of positive nodules, diagnosis and treatment of lung cancer were emphasized. This revision clarifies the screening, intervention and treatment pathways, making the LDCT screening guideline more appropriate for China. Future researches based on emerging technologies, including biomarkers and artificial intelligence, are needed to optimize LDCT screening in China in the future.
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Indexed as

Lung NeoplasmsArtificial IntelligenceChinaEarly Detection of CancerHumansMass ScreeningTomography, X-Ray ComputedGuidelineLow-dose computed tomographyLung neoplasmsScreening

Identifiers

PMID36792074
PMCPMC9987116

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.