Evidence map›Paper›PMID 32309398›Full record

ArticleAnnals of translational medicine2020

When Behcet's disease meets Stanford type A aortic dissection, heart transplantation is a reliable treatment.

Wei Ren, Bowen Li, Zhiwei Wang, Zhiyong Wu, Yongle Ruan, Jiahui Wang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Wei RenDepartment of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Bowen LiDepartment of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Zhiwei WangDepartment of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Zhiyong WuDepartment of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Yongle RuanDepartment of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Jiahui WangDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan 430000, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behcet's disease (BD) is an immune system disease characterized by multi-system vascular inflammation. Its occurrence in patients who experience a Stanford type A aortic dissection (AD) is very rare, but extremely dangerous. A 44-year-old male patient was diagnosed with an acute Stanford type A AD and underwent a standard Bentall procedure and total aortic arch replacement plus descending aortic stented elephant trunk implantation. Aortic valve leakage and an aortic root pseudoaneurysm developed 3 months after surgery. At this time, we suspected that this patient had BD. After immunosuppressive treatment, we performed modified Bentall again; however, the heart failure occurred shortly after the second operation. Finally, we successfully treated this patient with a heart transplant. This is the first report of a heart transplant to treat BD with acute Stanford type A AD. In the diagnosis and treatment of acute Stanford type A AD, in addition to the traditional pathogenic factors, we need to be alert to BD, and heart transplantation may be a good way to treat such patients.

Indexed as

aortic dissection (AD)Behcet’s disease (BD)heart transplantation

Identifiers

PMID32309398
PMCPMC7154399
OpenAlexW3010179693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.