Evidence map›Paper›PMID 39355606›Full record

ReviewReviews in cardiovascular medicine2024

Feasibility and Exploration of a Standardized Protocol for Cardiac CT Assessment of Rheumatic Mitral Disease.

Zhou Liu, Yue Ren, Jiajun Liang, Yazhe Zhang, Hongkai Zhang, Maozhou Wang, Lei Xu, Yuyong Liu, Wenjian Jiang, Hongjia Zhang

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Zhou LiuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Yue RenDepartment of Radiology, Beijing Anzhen Hospital, 100029 Beijing, China.
Jiajun LiangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Yazhe ZhangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Hongkai ZhangDepartment of Radiology, Beijing Anzhen Hospital, 100029 Beijing, China.
Maozhou WangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, 100029 Beijing, China.
Yuyong LiuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Wenjian JiangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.
Hongjia ZhangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, 100029 Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatic mitral valve disease often requires surgical interventions, such as percutaneous mitral commissurotomy, surgical mitral valve repair, or replacement, especially in severe cases. This necessitates a precise preoperative assessment of the extent of mitral valve disease. Currently, transthoracic echocardiography, the gold standard for preoperative assessment, has limitations, such as restricted acoustic windows and dependence on the operator, which can affect the evaluation of subvalvular structures and calcification of the mitral valve. Previous studies have shown that cardiac computed tomography (CT), with its high resolution, strong multiplanar reconstruction capabilities, and sensitivity to calcifications, can effectively overcome these limitations. Therefore, this study aims to summarize and evaluate the effectiveness of cardiac CT in examining mitral valve leaflets, annulus, and subvalvular structures. It also reviews the feasibility and guiding significance of using cardiac CT to assess characteristic rheumatic mitral valve lesions.

Indexed as

calcification assessmentcardiac CT evaluationmitral valve repairrheumatic mitral valve diseasesubvalvular apparatus

Identifiers

PMID39355606
PMCPMC11440403

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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.