Evidence map›Paper›PMID 34128950›Full record

ArticleCardiovascular journal of Africa

The discrepancy of aromatase expression in epicardial adipose tissue between CHD and non-CHD patients.

Yifan Li, Weiwei Cheng, Bin Zhao, Dongliang Ma, Xing Wei, Shunye Zhang

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Yifan LiDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China.
Weiwei ChengDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China.
Bin ZhaoDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China.
Dongliang MaDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China.
Xing WeiDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China.
Shunye ZhangDepartment of Cardiovascular Surgery, Shanxi Cardiovascular Hospital, Taiyuan, PR of China. Email: 956980086@qq.com.
Shanxi Cardiovascular Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEpicardial adipose tissue (EAT) aromatase converts androstenedione and other adrenal androgens into oestrogens. The locally produced oestradiol (E

methodsEAT and blood specimens were obtained from patients undergoing thoracotomy prior to cardiopulmonary bypass. Serum E

resultsCompared with non-CHD patients, CHD patients had lower EAT aromatase mRNA and protein levels. In the CHD patients, EAT aromatase and oestrogen levels negatively correlated with the severity of coronary artery disease.

conclusionsOur data revealed that reduced EAT aromatase levels correlated with coronary atherosclerotic lesions. Reduced EAT aromatase protein levels may aggravate the severity of atherosclerosis. Future studies should investigate the mechanisms regulating aromatase expression in epicardial fat.

Indexed as

Adipose TissueAgedAged, 80 and overAromataseCase-Control StudiesCoronary AngiographyCoronary Artery DiseaseEnzyme-Linked Immunosorbent AssayEstrogensFemaleGene Expression RegulationHumansMaleMiddle AgedPericardiumReal-Time Polymerase Chain ReactionAromataseEstrogensaromatasecoronary heart diseaseepicardial adipose tissueoestrogen

Identifiers

PMID34128950
PMCPMC8756044
OpenAlexW3197353199

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.