Evidence map›Paper›PMID 39650155›Full record

ArticleFrontiers in cardiovascular medicine2024

Case Report: 3D imaging-assisted minimally-invasive hybrid closure surgery of a complex coronary artery fistulas.

Yu Chen, Jin Lu, Xingchen Lian, Peipei Chang, Ping Wen, Lin Ma, Yuhang Liu

Abstract readCase Reports
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yu Chen *Department of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.
Jin Lu *Department of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.
Xingchen LianDepartment of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.
Peipei ChangBeijing Children's Hospital Heilongjiang Hospital, Heart Center, Haerbin, China.
Ping WenDepartment of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.
Lin MaDepartment of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.
Yuhang LiuDepartment of Cardiothoracic Surgery, Dalian Municipal Women and Children's Medical Center(Group), Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery fistulas (CAFs) are rare congenital heart defects that are typically managed through interventional closure, traditional surgery, or minimally invasive hybrid closure surgery. However, treating CAFs with complex anatomy, such as tortuous vessels, presents a significant challenge, particularly in young children. We report the case of a 3.8-year-old child (15 kg/100 cm) with a complex CAF, treated using a minimally invasive hybrid closure surgery approach with a 4  ×   4 mm Amplatzer Duct Occluder II (ADO II) (Abbott, USA). Three-dimensional (3D) imaging was utilized to visualize the CAF's anatomy, guide the surgical planning, and accurately determine the puncture site on the right ventricular free wall, as well as the optimal sheath direction and insertion depth. The procedure was carried out efficiently and safely, guided by preoperative 3D imaging and intraoperative transesophageal echocardiography. Follow-up at one year demonstrated excellent outcomes with no complications.

Indexed as

case reportcongenital heart diseasecoronary artery fistulaminimally invasive hybrid closure surgerythree-dimensional imaging

Identifiers

PMID39650155
PMCPMC11621213

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Registered trials

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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.