Evidence map›Paper›PMID 38074089›Full record

ArticleFrontiers in molecular biosciences2023

Identification of cuproptosis-related biomarkers and analysis of immune infiltration in allograft lung ischemia-reperfusion injury.

Jianying Qin, Xiaoyue Xiao, Silin Li, Ning Wen, Ke Qin, Haibin Li, Jihua Wu, Bing Lu, Minghu Li, Xuyong Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Understanding Machine Learning Applications in Lung Transplantation: A Narrative Review.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  5. Review
  6. Article
  7. Cuproptosis and copper deficiency in ischemic vascular injury and repair.Apoptosis : an international journal on programmed cell death · 2024
    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

10 authors at 2 institutions in 1 country.

Jianying Qin *Transplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaoyue Xiao *Department of Pathology, The Fifth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Nanning, Nanning, China.
Silin LiTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ning WenTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ke QinTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Haibin LiTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jihua WuTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Bing LuTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Minghu LiTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xuyong SunTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CNFirst People's Hospital of Nanning · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

allograft lungbiomarkerscuproptosisimmune infiltrationischemia-reperfusion injury

Identifiers

PMID38074089
PMCPMC10703368
OpenAlexW4388946641

What Socratic 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 Socratic graph.