Evidence map›Paper›PMID 35382776›Full record

ArticleBMC cancer2022

A new risk model based on a 11-m

Liangliang Lei, Nannan Li, Pengfei Yuan, Dechun Liu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Predictors of immunotherapy response in gastric cancer: the role of the tumor microenvironment and integrative predictive models.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Non-coding RNA-Mediated N6-Methyladenosine (mNon-coding RNA research · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. LncRNA and its role in gastric cancer immunotherapy.Frontiers in cell and developmental biology · 2023
    Review
  15. Article
  16. Review
  17. 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

4 authors at 1 institution in 1 country.

Liangliang LeiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, No.24 Jinghua Road, Jianxi District, Luoyang, 471003, China.
Nannan LiDepartment of Ultrasonography, The Sixth People's Hospital of Luoyang, Luoyang, 471003, China.
Pengfei YuanDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, No.24 Jinghua Road, Jianxi District, Luoyang, 471003, China. pengfeiyuan@haust.edu.cn.
Dechun LiuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, No.24 Jinghua Road, Jianxi District, Luoyang, 471003, China. liudechun33@163.com.
First Affiliated Hospital of Henan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveN

methodsTranscriptome and clinical data were obtained from GC biopsies from Cancer Genome Atlas (TCGA). M

resultsFinally, we identified 11 m

conclusionThe new risk model based on a 11-m

Indexed as

RNA, Long NoncodingStomach NeoplasmsBiomarkers, TumorEndothelial CellsHumansImmunotherapyPrognosisBiomarkers, TumorRNA, Long NoncodingGastric cancerImmunotherapyLong non-coding RNAN6-methyladenosinePrognosis

Identifiers

PMID35382776
PMCPMC8981748
OpenAlexW4223534408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.