Unique ID issued by UMIN | UMIN000043495 |
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Receipt number | R000049651 |
Scientific Title | Identification of predictive factors interacting with heart rate reduction therapy for potential clinical benefit in chronic heart failure: a systematic literature review and meta-analysis |
Date of disclosure of the study information | 2021/03/02 |
Last modified on | 2022/12/09 15:38:36 |
Identification of predictive factors interacting with heart rate reduction therapy for potential clinical benefit in chronic heart failure: a systematic literature review and meta-analysis
Factors that interact with heart rate reduction in chronic heart failure
Identification of predictive factors interacting with heart rate reduction therapy for potential clinical benefit in chronic heart failure: a systematic literature review and meta-analysis
Factors that interact with heart rate reduction in chronic heart failure
Japan |
chronic heart failure
Cardiology |
Others
NO
To investigate HR-reducing strategies, based on baseline HR, underlying diseases, causes and complications of chronic HFrEF, and various patient characteristics.
Others
To investigate the evidence of beneficial clinical outcomes based on the interaction of predictive factors with reduction of HR in chronic heart failure patients with reduced ejection fraction (HFrEF).
Others
Others
Not applicable
Primary: To measure the relative contributions of predictive factors on the effect of HR reduction on clinical outcomes in the context of HFrEF.
Secondary: To show the strength of the interactions between HR reduction and predictive factors and their effect on clinical outcomes.
Secondary: To measure the relative contributions of predictive factors on the effect of treatment on clinical outcomes in subgroups that have had their HR reduced by >=10 bpm or <10 bpm.
Others,meta-analysis etc
18 | years-old | <= |
Not applicable |
Male and Female
Study-level inclusion criteria: studies that were randomized and placebo-controlled clinical trials; studies published in English; studies with full text available; studies investigating the effect of HR reducing therapies on change in HR and/or other clinical outcomes; and studies published between database inception and December 2020. Patient-level inclusion criteria: patient population of adults aged >=18 years; and patient population with symptomatic chronic HF.
Case-control studies; observational studies; studies involving adults <18 years; studies not investigating HR-reducing therapy; studies with no quantitative data or measurable outcomes; studies with incomplete or qualitative data alone; and reviews and collections of conference abstracts
1st name | Futoshi |
Middle name | |
Last name | Kinoshita |
Ono Pharmaceutical Co., Ltd.
Medical Affairs
541-8564
8-2, Kyutaromachi 1-Chome, Chuo-ku, Osaka-Shi, Osaka, Japan
06-6263-2992
f.kinoshita@ono.co.jp
1st name | Masanori |
Middle name | |
Last name | Nishikori |
Ono Pharmaceutical Co., Ltd.
Medical Affairs
541-8564
8-2, Kyutaromachi 1-Chome, Chuo-ku, Osaka-Shi, Osaka, Japan
06-6263-2992
nishikohri@ono.co.jp
Ono Pharmaceutical Co., Ltd.
Ono Pharmaceutical Co., Ltd.
Self funding
Ono Pharmaceutical Co., Ltd.
8-2, Kyutaromachi 1-Chome, Chuo-ku, Osaka-Shi, Osaka, Japan
06-6263-2992
n.nishiwaki@ono.co.jp
NO
2021 | Year | 03 | Month | 02 | Day |
Published
https://www.sciencedirect.com/science/article/pii/S2352906722001907
0
This meta-analysis revealed that T2DM is a predictor of HR-reducing treatment effect on all-cause mortality and CV-related mortality in HFrEF patients.
2022 | Year | 12 | Month | 09 | Day |
N/A
N/A
N/A
To measure the relative contributionsof predictive factors on the effect of HR reduction on clinical outcomes in the context of HFrEF.
Main results already published
2021 | Year | 03 | Month | 01 | Day |
2021 | Year | 03 | Month | 01 | Day |
2021 | Year | 03 | Month | 02 | Day |
2021 | Year | 12 | Month | 31 | Day |
The specific objectives of this systematic review and meta-analysis are in relation to investigating the impact of HR-reducing strategies based on baseline HR, underlying diseases, causes and complications of chronic HFrEF, and various patient-related characteristics
-Primary: To measure the relative contributions of predictive factors on the effect of HR-reducing treatment on all cause mortality and other clinical outcomes in chronic HFrEF
-Secondary: To show the strength of interactions between HR reduction and predictive factors and their effect on all-cause mortality and other clinical outcomes as feasible
-Secondary: To measure the relative contributions of predictive factors on the effect of treatment on all cause mortality in subgroups that have had their HR reduced by >=10 or <10 bpm
This study uses a systematic literature review and meta-analysis.Therefore, this study does not require approval by IRB.
2021 | Year | 03 | Month | 02 | Day |
2022 | Year | 12 | Month | 09 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000049651
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