Evidence map›Paper›PMID 39076264›Full record

ArticleReviews in cardiovascular medicine2023

Serum Dynamin-Related Protein 1 Concentrations Discriminate Phenotypes and Predict Prognosis of Heart Failure.

Zhong-Guo Fan, Ming-Yue Ji, Yang Xu, Wan-Xin Wang, Jing Lu, Gen-Shan Ma

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2023. 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. 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

6 authors.

Zhong-Guo FanDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.
Ming-Yue JiDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.
Yang XuDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.
Wan-Xin WangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.
Jing LuDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.
Gen-Shan MaDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, 210009 Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dynamin-related protein 1 (Drp1) has been demonstrated as a crucial role in mediating the programed cell death and cardiac metabolism through its regulatory of mitophagy in animal studies. However, the clinical values of Drp1 for human cardiac disease remain unknown. This study is aimed to evaluate the diagnostic and prognostic values of serum Drp1 in these patients with heart failure (HF). Methods: The enzyme linked immunosorbent assay (ELISA) was used for measuring serum Drp1 concentrations in 85 cases of HF with preserved ejection fraction (HFpEF) and 86 cases of HF with reduced ejection fraction (HFrEF). The diagnostic value of Drp1 was evaluated using the receiver operating characteristic (ROC) analysis. The composite endpoint was consisted of cardiac death and rehospitalization for HF, and the association between Drp1 and clinical outcomes were further determined. Results: Serum Drp1 concentrations were much higher in HFpEF than that in HFrEF (4.2 Conclusions: Our findings suggested that low serum concentrations of Drp1 might serve as a predicting biomarker for distinction of HF phenotypes and overall prognosis of HF.

Indexed as

diagnosisdynamin-related protein 1heart failuremitochondriamitophagyprognosis

Identifiers

PMID39076264
PMCPMC11273009

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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.