Evidence map›Paper›PMID 36246403›Full record

ArticleOxidative medicine and cellular longevity2022

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Xiaodong Qu, Luyao Zhang, Songbo Li, Tian Li, Xingyu Zhao, Na Wang, Yongquan Shi

Abstract read
In one paragraph

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. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Extracts ofInternational journal of medical sciences · 2025
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  7. Clinical value ofHeliyon · 2024
    Article
  8. Review
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  10. Review
  11. New and Old Key Players in Liver Cancer.International journal of molecular sciences · 2023
    Review
  12. Prognostic-Related Biomarkers in Pancreatic Ductal Adenocarcinoma Correlating with Immune Infiltrates Based on Proteomics.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  13. Article
  14. 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

7 authors.

Xiaodong QuState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0003-1504-1043
Luyao ZhangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0001-9408-9496
Songbo LiState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0003-0956-6337
Tian LiSchool of Basic Medicine, Fourth Military Medical University, 169 Changle West Rd, Xi'an 710032, China.ORCID https://orcid.org/0000-0002-8281-4459
Xingyu ZhaoState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0002-6878-1056
Na WangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0003-0789-2681
Yongquan ShiState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.ORCID https://orcid.org/0000-0001-9515-7577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: m Methods: Univariate Cox regression analysis of 24 mARGs yielded 13 prognostic genes, which were then analyzed for their enriched functions and pathways. After LASSO regression analysis, a prognostic signature was constructed and its reliability validated. Patients were grouped by risk using the signature score, and then the clinical prognosis, the immune landscape, and the oxidative stress landscape between the two groups were analyzed. Drug sensitivity analysis was performed to identify potentially efficient therapeutic agents. Results: Thirteen prognosis-related mARGs consistently clustered patients with HCC into four groups with significantly different prognosis. Four mARGs ( Conclusions: A prognostic model consisting of mARGs can be used to predict the prognosis of HCC patients. The risk grouping of our model can be used to reveal differences in the tumor immune microenvironment of patients with HCC. Further in-depth study may provide new targets for future treatment.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorEpidermal Growth FactorGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateOxaliplatinOxidative StressPrognosisReproducibility of ResultsTumor MicroenvironmentBiomarkers, TumorEpidermal Growth FactorOxaliplatin

Identifiers

PMID36246403
PMCPMC9554665

What OpenQuestion holds

Textmetadata
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.