UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000058107
Receipt number R000066415
Scientific Title Prognostic Significance of Pericoronary Fat Attenuation Index in Cardiovascular Disease: A Systematic Review and Meta-Analysis
Date of disclosure of the study information 2025/06/06
Last modified on 2025/06/06 16:09:45

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Basic information

Public title

Prognostic Significance of Pericoronary Fat Attenuation Index in Cardiovascular Disease: A Systematic Review and Meta-Analysis

Acronym

Prognostic Significance of Pericoronary Fat Attenuation Index in Cardiovascular Disease: A Systematic Review and Meta-Analysis

Scientific Title

Prognostic Significance of Pericoronary Fat Attenuation Index in Cardiovascular Disease: A Systematic Review and Meta-Analysis

Scientific Title:Acronym

Prognostic Significance of Pericoronary Fat Attenuation Index in Cardiovascular Disease: A Systematic Review and Meta-Analysis

Region

Japan


Condition

Condition

The target diseases will include a broad spectrum of cardiovascular diseases, primarily focusing on coronary artery disease. This includes stable angina, unstable angina, myocardial infarction, and heart failure.

Classification by specialty

Cardiology Radiology

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

The objective of this study will be to investigate whether the pericoronary fat attenuation index (FAI), as measured by coronary computed tomography angiography (CCTA), serves as a useful prognostic marker in cardiovascular disease. Specifically, we will conduct a systematic review and meta-analysis to evaluate the association between FAI and adverse cardiovascular outcomes, including major adverse cardiovascular events (MACE) and cardiac mortality.

Basic objectives2

Others

Basic objectives -Others

meta-analysis

Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

The pericoronary fat attenuation index (FAI), derived from coronary computed tomography angiography (CCTA), is a noninvasive imaging biomarker that reflects inflammation-induced changes in perivascular adipose tissue (PVAT); this study aims to evaluate the prognostic value of FAI for major adverse cardiovascular events (MACE), cardiac mortality, and all-cause mortality, with subgroup analyses based on coronary artery (right coronary artery [RCA], left anterior descending artery [LAD], and left circumflex artery [LCX]) and geographic region (Asian vs. non-Asian populations).

Key secondary outcomes



Base

Study type

Others,meta-analysis etc


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

18 years-old <=

Age-upper limit

90 years-old >

Gender

Male and Female

Key inclusion criteria

Inclusion Criteria:
Original studies reporting hazard ratios (HRs) for major adverse cardiovascular events (MACE), cardiac mortality, or all-cause mortality in relation to pericoronary fat attenuation index (FAI) measured by coronary computed tomography angiography (CCTA)

Clear documentation of the coronary artery segment analyzed (right coronary artery [RCA], left anterior descending artery [LAD], or left circumflex artery [LCX])

Human studies

Articles published in English

Key exclusion criteria

Exclusion Criteria:
Studies not reporting prognostic outcomes (MACE, cardiac mortality, or all-cause mortality)

Review articles, case reports, and non-human studies

Non-English language articles

Target sample size



Research contact person

Name of lead principal investigator

1st name Shingo
Middle name
Last name Kato

Organization

Department of Diagnostic Radiology, Yokohama City University

Division name

Department of Diagnostic Radiology

Zip code

236-0004

Address

3-9, Fukuura, Kanazawaku, Yokohama

TEL

045-787-2800

Email

shingo.m12226@gmail.com


Public contact

Name of contact person

1st name Shingo
Middle name
Last name Kato

Organization

Yokohama City University Hospital

Division name

Department of Diagnostic Radiology

Zip code

236-0004

Address

3-9, Fukuura, Kanazawaku, Yokohama

TEL

045-787-2800

Homepage URL


Email

shingo.m12226@gmail.com


Sponsor or person

Institute

Shingo Kato, Department of Diagnostic Radiology, Yokohama City University

Institute

Department

Personal name

Shingo Kato


Funding Source

Organization

Department of Diagnostic Radiology, Yokohama City University

Organization

Division

Category of Funding Organization

Self funding

Nationality of Funding Organization

Japan


Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Yokohama City University

Address

3-9, Fukuura, Kanazawaku, Yokohama

Tel

045-787-2800

Email

shingo.m12226@gmail.com


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW

Japan


Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2025 Year 06 Month 06 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Open public recruiting

Date of protocol fixation

2025 Year 06 Month 06 Day

Date of IRB

2025 Year 06 Month 06 Day

Anticipated trial start date

2025 Year 06 Month 06 Day

Last follow-up date

2025 Year 06 Month 06 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

This study is a planned systematic review and meta-analysis aiming to evaluate whether the pericoronary fat attenuation index (FAI), derived from coronary computed tomography angiography (CCTA), serves as a prognostic marker for major adverse cardiovascular events (MACE), cardiac mortality, and all-cause mortality. The meta-analysis will include observational studies, and data extraction is currently underway following predefined eligibility criteria. A quantitative synthesis will be performed subsequently.


Management information

Registered date

2025 Year 06 Month 06 Day

Last modified on

2025 Year 06 Month 06 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066415