Evidence map›Paper›PMID 32269611›Full record

ReviewOncology letters2020

Emerging non-invasive detection methodologies for lung cancer.

Zhen Li, Jinian Shu, Bo Yang, Zuojian Zhang, Jingyun Huang, Yang Chen

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Biomarkers in Lung Cancer Screening: a Narrative Review.Current challenges in thoracic surgery · 2023
    Article
  2. Article
  3. Article
  4. [Research Progress on Lung Cancer Screening].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Review
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 at 2 institutions in 1 country.

Zhen LiBeijing Advanced Sciences and Innovation Center, Chinese Academy of Sciences, Beijing 101407, P.R. China.
Jinian ShuNational Engineering Laboratory for VOCs Pollution Control Material and Technology, University of Chinese Academy of Sciences, Beijing 101408, P.R. China.
Bo YangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, University of Chinese Academy of Sciences, Beijing 101408, P.R. China.
Zuojian ZhangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, University of Chinese Academy of Sciences, Beijing 101408, P.R. China.
Jingyun HuangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, University of Chinese Academy of Sciences, Beijing 101408, P.R. China.
Yang ChenBeijing Advanced Sciences and Innovation Center, Chinese Academy of Sciences, Beijing 101407, P.R. China.
University of Chinese Academy of Sciences · CNBeijing Advanced Sciences and Innovation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential for non-invasive lung cancer (LC) diagnosis based on molecular, cellular and volatile biomarkers has been attracting increasing attention, with the development of advanced techniques and methodologies. It is standard practice to tailor the treatments of LC for certain specific genetic alterations, including the epidermal growth factor receptor, anaplastic lymphoma kinase and

Indexed as

detectionlung cancernon-invasive

Identifiers

PMID32269611
PMCPMC7115116
OpenAlexW3011517057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.