Evidence map›Paper›PMID 37920207›Full record

ArticleFrontiers in pharmacology2023

Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism.

Dan Cong, Yanan Zhao, Wenlong Zhang, Jun Li, Yuansong Bai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Two inflammation-related genes model could predict risk in prognosis of patients with lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  4. Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma.Annals of clinical and translational neurology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 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

5 authors at 2 institutions in 1 country.

Dan Cong *Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Yanan Zhao *Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Wenlong ZhangDepartment of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Jun LiDepartment of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Yuansong BaiDepartment of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Union Hospital · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

fatty acid metabolismlung adenocarcinomamachine learningprognosisRiskScoresurvival probability

Identifiers

PMID37920207
PMCPMC10619909
OpenAlexW4387704080

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.