Evidence map›Paper›PMID 39702099›Full record

ArticleBMC cardiovascular disorders2024

Serum creatinine to cystatin C ratio in relation to heart failure with preserved ejection fraction.

Ruting Wang, Kai Huang, Hangfeng Ying, Jiahao Duan, Qinwen Feng, Xinying Zhang, Zifeng Wu, Riyue Jiang, Bin Zhu, Ling Yang and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Ruting Wang *Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Kai Huang *Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Hangfeng YingDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Jiahao DuanDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Qinwen FengDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Xinying ZhangDepartment of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Zifeng WuDepartment of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Riyue JiangDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Bin ZhuDepartment of Critical Care Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Ling YangDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China. linda_yl@sina.com.
Chun YangDepartment of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. chunyang@njmu.edu.cn.

Funding

Changzhou Key Medical Discipline No. CZXK202202Innovative and Entrepreneurial Team of Jiangsu Province JSSCTD202144Leading Talent of Changzhou "The 14th Five-Year Plan" High-Level Health Talents Training Project No.2022260The National Natural Science Foundation of China 82070405The National Natural Science Foundation of China 82271254The Program of Major Science and Technology Project of Changzhou Health Commission ZD202101
6 · The paper itself

Abstract

backgroundSarcopenia was recognized to be one of the common comorbidities in heart failure (HF). The sarcopenia index (SI), based on serum creatinine to cystatin C ratio, was developed as a simple tool to evaluate skeletal muscle mass but has not been well-studied in the correlation of left ventricular ejection fraction (LVEF). The aim of this study is to analyze the SI in patients with HF, especially patients with HF with preserved ejection fraction (HFpEF), and to develop a prediction model for HFpEF.

methodsThe training cohort included 229 hospitalized patients with HF and 73 healthy controls (HCs) from the Third Affiliated Hospital of Soochow University between December 2019 and February 2022. An additional 78 patients with HF hospitalized at the same hospital between March 2022 to June 2023 were considered as an external validation cohort. Binary logistic regression model was used to analyze the influence factors of HFpEF. A prediction model was constructed and optimized based on the least absolute shrinkage and selection operator (LASSO), displayed by Nomogram and verified internally by Bootstrap with 500 resamples.

resultsSI was significantly different between the HF and HC groups (67.95 ± 13.07 vs. 98.57 ± 31.51) and had a significant negative correlation with LVEF. Multivariate logistic regression demonstrated that SI (OR 0.948, 95% CI 0.914-0.983, P = 0.004) was independently associated with HFpEF. The area under the curve (AUC) for the nomogram constructed based on SI was 0.902. The calibration curve was approximately distributed along the reference line in Bootstrap and the decision curve analysis demonstrated significantly better net benefit in the model. The external validation proved the good predictive performance of the model.

conclusionsLower SI is an independent factor associated with hospitalized patients with HF, especially patients with HFpEF. A prediction nomogram based on SI has good predictive power for HFpEF.

trial registrationThe study was registered with the China Clinical Trials Centre Registry (registration number: ChiCTR2200063401).

Indexed as

BiomarkersCreatinineCystatin CHeart FailurePredictive Value of TestsSarcopeniaStroke VolumeVentricular Function, LeftAgedCase-Control StudiesChinaDecision Support TechniquesFemaleHumansMaleMiddle AgedBiomarkersCreatinineCST3 protein, humanCystatin CHeart failurePrediction modelPreserved ejection fractionSarcopenia index

Identifiers

PMID39702099
PMCPMC11660665

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.