Evidence map›Paper›PMID 35224035›Full record

ArticleFrontiers in cardiovascular medicine2022

Chunguang Guo, Zaoqu Liu, Yin Yu, Zhibin Zhou, Ke Ma, Linfeng Zhang, Qin Dang, Long Liu, Libo Wang, Shuai Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. 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
2.0field-weighted citation impact, top 13% 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, 13 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Chunguang GuoDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zaoqu LiuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yin YuDepartment of Pathophysiology, School of Basic Medical Sciences, The Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
Zhibin ZhouDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ke MaDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Linfeng ZhangDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qin DangDepartment of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Long LiuDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Libo WangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shuai ZhangDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhaohui HuaDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinwei HanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhen LiDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFormation and rupture of abdominal aortic aneurysm (AAA) is fatal, and the pathological processes and molecular mechanisms underlying its formation and development are unclear. Perivascular adipose tissue (PVAT) has attracted extensive attention as a newly defined secretory organ, and we aim to explore the potential association between PVAT and AAA.

methodsWe analyzed gene expression and clinical data of 30 PVAT around AAA and 30 PVAT around normal abdominal aorta (NAA). The diagnostic markers and immune cell infiltration of PVAT were further investigated by WGCNA, CIBERSORT, PPI, and multiple machine learning algorisms (including LASSO, RF, and SVM). Subsequently, eight-week-old C57BL/6 male mice (

resultsA total of 75 genes in the Grey60 module were identified by WGCNA. To select the genes most associated with PVAT in the grey60 module, three algorithms (including LASSO, RF, and SVM) and PPI were applied.

conclusion

Indexed as

abdominal aortic aneurysmdiagnostic markerimmune infiltrationmachine learningperivascular adipose tissue

Identifiers

PMID35224035
PMCPMC8863960
OpenAlexW4210992349

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.