ArticleOxidative medicine and cellular longevity2022
Identification of
Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Identification of mitochondria-related genes in calcific aortic valve disease by integrated analysis of single-cell and bulk transcriptomic atlases.Journal of physiology and biochemistry · 2026Article
- Bioinformatics Analysis of coagulation-related genes in lung adenocarcinoma: unveiling prognostic indicators and treatment pathways.Scientific reports · 2025Article
- Ang-1 and VEGF: central regulators of angiogenesis.Molecular and cellular biochemistry · 2025Review
- Notoginsenoside R1 improves intestinal microvascular functioning in sepsis by targeting Drp1-mediated mitochondrial quality imbalance.Pharmaceutical biology · 2024Article
- Multiomics identification of ALDH9A1 as a crucial immunoregulatory molecule involved in calcific aortic valve disease.Scientific reports · 2024Article
- Identification of Diagnostic Genes of Aortic Stenosis That Progresses from Aortic Valve Sclerosis.Journal of inflammation research · 2024Article
- Influence of Aortic Valve Stenosis and Wall Shear Stress on Platelets Function.Journal of clinical medicine · 2023Review
- A diagnostic model for sepsis-induced acute lung injury using a consensus machine learning approach and its therapeutic implications.Journal of translational medicine · 2023Article
- The Complex Relationship between Hypoxia Signaling, Mitochondrial Dysfunction and Inflammation in Calcific Aortic Valve Disease: Insights from the Molecular Mechanisms to Therapeutic Approaches.International journal of molecular sciences · 2023Review
- Screening of immune-related secretory proteins linking chronic kidney disease with calcific aortic valve disease based on comprehensive bioinformatics analysis and machine learning.Journal of translational medicine · 2023Article
- Identification of key ferroptosis-related biomarkers in steroid-induced osteonecrosis of the femoral head based on machine learning.Journal of orthopaedic surgery and research · 2023Article
- Retracted: Identification ofOxidative medicine and cellular longevity · 2023Article
- Article
Corrections and comments
- Retraction · 2023-12-29Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Calcific aortic valve stenosis (CAVS) is the most common heart valve disorder among humans. To date, no effective method has been identified to prevent this disease. Herein, we aimed to identify novel diagnostic and mitochondria-related biomarkers of CAVS, based on two machine learning algorithms. We further explored their association with infiltrating immune cells and studied their potential function in CAVS. The GSE12644, GSE51472, and GSE83453 expression profiles were downloaded from the Gene Expression Omnibus (GEO) repository. The GSE12644 and GSE51472 datasets were integrated to identify differentially expressed genes (DEGs). GSE12644 contains 10 normal and 10 CAVS samples, whereas GSE51472 contains 5 normal and 10 CAVS samples. GO and KEGG assays of DEGs were conducted, and the correlation between matrix metalloproteinase 9 (
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Registered trials
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.