Evidence map›Paper›PMID 36172169›Full record

ArticleOncoTargets and therapy2022

Molecular Characteristics and the Effect of

Guomin Gu, Bo Yu, Hua Wan, Suqiong Lu, Xiaodan Zhu, Yan Zhao, Yujing Fuxi, Chunling Liu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 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
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

8 authors at 2 institutions in 1 country.

Guomin GuDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Bo YuDepartment of Medicine, Beijing USCI Medical Laboratory, Beijing, 100195, People's Republic of China.
Hua WanDepartment of Medicine, Beijing USCI Medical Laboratory, Beijing, 100195, People's Republic of China.ORCID 0000-0003-2946-5613
Suqiong LuDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Xiaodan ZhuDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Yan ZhaoDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Yujing FuxiDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Chunling LiuDepartment of Pulmonary Medicine, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830011, People's Republic of China.
Xinjiang Medical University · CNBeijing Emergency Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Non-small cell lung cancer (NSCLC) is a malignant tumor with high mortality. The Kirsten rat sarcoma vial oncogene ( Patients and Methods: Collected tumor samples from the Affiliated Cancer Hospital of Xinjiang Medical University and 220 patients with stage III-IV NSCLC were included the study. All patients are on first- or second-line therapy and not on targeted therapy. Based on the molecular profiles and clinical features, we analysis of the effect of Results: In this study, the main mutant subtypes of Conclusion: Our results suggested that the gene mutation profile of NSCLC in

Indexed as

immunotherapyKRASmutationNSCLCprognosis

Identifiers

PMID36172169
PMCPMC9512032
OpenAlexW4296789859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.