Evidence map›Paper›PMID 35647038›Full record

ArticleFrontiers in cardiovascular medicine2022

Development and Validation of a Risk Score in Chinese Patients With Chronic Heart Failure.

Maoning Lin, Jiachen Zhan, Yi Luan, Duanbin Li, Yu Shan, Tian Xu, Guosheng Fu, Wenbin Zhang, Min Wang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
  3. Influence of Metformin Discontinuation on Readmission Rate in Patients With Acute Heart Failure.Journal of community hospital internal medicine perspectives · 2024
    Article
  4. 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 2 institutions in 1 country.

Maoning LinDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Jiachen ZhanDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Yi LuanDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Duanbin LiDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Yu ShanDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Tian XuDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Guosheng FuDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Wenbin ZhangDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Min WangDepartment of Cardiovascular Diseases, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Sir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute exacerbation of chronic heart failure contributes to substantial increases in major adverse cardiovascular events (MACE). The study developed a risk score to evaluate the severity of heart failure which was related to the risk of MACE. Methods: This single-center retrospective observational study included 5,777 patients with heart failure. A credible random split-sample method was used to divide data into training and validation dataset (split ratio = 0.7:0.3). Least absolute shrinkage and selection operator (Lasso) logistic regression was applied to select predictors and develop the risk score to predict the severity category of heart failure. Receiver operating characteristic (ROC) curves, and calibration curves were used to assess the model's discrimination and accuracy. Results: Body-mass index (BMI), ejection fraction (EF), serum creatinine, hemoglobin, C-reactive protein (CRP), and neutrophil lymphocyte ratio (NLR) were identified as predictors and assembled into the risk score ( Conclusion: A risk score incorporating BMI, EF, serum creatinine, hemoglobin, CRP, and NLR, was developed and validated. It effectively evaluated individuals' severity classification of heart failure, closely related to MACE.

Indexed as

heart failuremajor adverse cardiovascular eventsN-terminal pro-B type natriuretic peptiderisk scoreseverity classification

Identifiers

PMID35647038
PMCPMC9130568
OpenAlexW4280594448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.