Evidence map›Paper›PMID 36939795›Full record

ArticlePhenomics (Cham, Switzerland)2022

Causal Association of Cardiac Function by Magnetic Resonance Imaging with Frailty Index: A Mendelian Randomization Study.

Hui Zhang, Meng Hao, Zixin Hu, Yi Li, Xiaoxi Hu, Xiaoyan Jiang, Zuyun Liu, Xuehui Sun, Xiaofeng Wang

Open access · greenAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 3 institutions in 2 countries.

Hui Zhang *Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Meng Hao *Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Zixin HuHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Yi LiHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Xiaoxi HuHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Xiaoyan JiangKey Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, Shanghai, 200092 China.
Zuyun LiuCenter for Clinical Big Data and Analytics, Second Affiliated Hospital and Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310030 Zhejiang China.
Xuehui SunHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.
Xiaofeng WangHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433 China.ORCID 0000-0001-7333-8676
Fudan University · CNSecond Affiliated Hospital of Zhejiang University · CNTongji University · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Owing to the susceptibility of conventional observational studies to confounding factors and reverse causation, the causal association between cardiac function and frailty is unclear. We aimed to investigate whether cardiac function has causal effects on frailty. In this study, a two-sample Mendelian randomization (MR) study was conducted using genetic variants associated with cardiac function assessed by magnetic resonance imaging phenotypes as instrumental variables. Genetic variants associated with cardiac function by magnetic resonance imaging (including seven cardiac function phenotypes) and the frailty index (FI) were obtained from two large genome-wide association studies. MR estimates from each genetic instrument were combined using inverse variance weighted (IVW), weighted median, and MR‒Egger regression methods. We found that the increase in genetically determined stroke volume (beta - 0.13, 95% CI - 0.16 to - 0.10, Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00072-z.

Indexed as

Cardiac functionFrailtyGeneticsMendelian randomization

Identifiers

PMID36939795
PMCPMC9712899
OpenAlexW4297997664

What OpenQuestion holds

Textmetadata
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.