Evidence map›Paper›PMID 35911515›Full record

ArticleFrontiers in cardiovascular medicine2022

Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses.

Xiqiang Wang, Xiude Fan, Qihui Wu, Jing Liu, Linyan Wei, Dandan Yang, Xiang Bu, Xiaoxiang Liu, Aiqun Ma, Tomohiro Hayashi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

15 authors at 8 institutions in 2 countries.

Xiqiang WangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Xiude FanDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Qihui WuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jing LiuDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Linyan WeiDepartment of General Practice, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Dandan YangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Xiang BuDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoxiang LiuDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Aiqun MaDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Tomohiro HayashiCenter for Cardiovascular Research, Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States.
Gongchang GuanDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Yu XiangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Shuang ShiDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Junkui WangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shanxi Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNSecond Affiliated Hospital of Zhejiang University · CNShaanxi Provincial People's Hospital · CNGuangzhou University of Chinese Medicine · CNHainan Provincial Hospital of Traditional Chinese Medicine · CNShandong Provincial Hospital · CNWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Heart failure with reduced ejection fraction (HFrEF) still carries a high risk for a sustained decrease in left ventricular ejection fraction (LVEF) even with the optimal medical therapy. Currently, there is no effective tool to stratify these patients according to their recovery potential. We tested the hypothesis that uric acid (UA) could predict recovery of LVEF and prognosis of HFrEF patients and attempted to explore mechanistic relationship between hyperuricemia and HFrEF. Methods: HFrEF patients with hyperuricemia were selected from the National Inpatient Sample (NIS) 2016-2018 database and our Xianyang prospective cohort study. Demographics, cardiac risk factors, and cardiovascular events were identified. Network-based analysis was utilized to examine the relationship between recovery of LVEF and hyperuricemia, and we further elucidated the underlying mechanisms for the impact of hyperuricemia on HFrEF. Results: After adjusting confounding factors by propensity score matching, hyperuricemia was a determinant of HFrEF [OR 1.247 (1.172-1.328); Conclusion: Lower baseline UA value predicted the LVEF recovery and less long-term adverse events in HFrEF patients. Our results provide new insights into underlying mechanistic relationship between hyperuricemia and HFrEF.

Indexed as

heart failure with a reduced ejection fractionheart failure with recovery ejection fractionnetwork analysesrecovery of left ventricular ejection fractionuric acid

Identifiers

PMID35911515
PMCPMC9334530
OpenAlexW4285590115

What OpenQuestion holds

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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.