Evidence map›Paper›PMID 37985137›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2023

[Chinese Expert Consensus on the Clinical Practice of Non-small Cell Lung Cancer 
Fusion Gene Detection Based on RNA-based NGS].

Society of Cancer Precision Medicine of Chinese Anti-Cancer Association, China Primary Health Care Foundation Tumor Precision Diagnosis and Treatment Committee, Chinese Anti-Cancer Association, Lung Cancer Study Group of Committee of Oncopathology

Abstract readEnglish AbstractConsensus Statement
In one paragraph

Article 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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. [A Case of EML4-ALK Fusion V1 Subtype Lung Adenocarcinoma 
Detected by RNA-based NGS].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    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

3 authors.

Society of Cancer Precision Medicine of Chinese Anti-Cancer Association
China Primary Health Care Foundation Tumor Precision Diagnosis and Treatment Committee
Chinese Anti-Cancer Association, Lung Cancer Study Group of Committee of Oncopathology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-based next-generation sequencing (NGS) has been recommended as a method for detecting fusion genes in non-small cell lung cancer (NSCLC) according to clinical practice guidelines and expert consensus. The primary targetable alterations in NSCLC consist of gene mutations and fusions, making the detection of gene mutations and fusions indispensable for assessing the feasibility of targeted therapies. Currently, the integration of DNA-based NGS and RNA-based NGS allows for simultaneous detection of gene mutations and fusions and has been partially implemented in clinical practice. However, standardized guidelines and criteria for the significance, application scenarios, and quality control of RNA-based NGS in fusion gene detection are still lacking in China. This consensus aims to provide further clarity on the practical significance, application scenarios, and quality control measures of RNA-based NGS in fusion gene detection. Additionally, it offers guiding recommendations to facilitate the clinical implementation of RNA-based NGS in the diagnosis and treatment of NSCLC, ultimately maximizing the benefits for patients from fusion gene detection.
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Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsConsensusHigh-Throughput Nucleotide SequencingHumansRNARNAExpert consensusFusion genesNon-small cell lung cancerRNA-based NGSTargeted therapy

Identifiers

PMID37985137
PMCPMC10714047

What OpenQuestion holds

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LicenceCC BY
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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.