Evidence map›Paper›PMID 40687564›Full record

ArticleFrontiers in cardiovascular medicine2025

Association between red blood cell distribution width-to-albumin ratio and in-hospital mortality in patients with congestive heart failure combined with chronic kidney disease.

Lie-Jun Qian, Lu-Xi Hong

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. 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
–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

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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.

  1. Article
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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

2 authors.

Lie-Jun QianICU, Tiantai County Hospital of Traditional Chinese Medicine, Taizhou, Zhejiang, China.
Lu-Xi HongDepartment of Ultrasound, Tiantai County People's Hospital, Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to explore the relationship between the blood cell distribution width-to-albumin ratio (RAR) and in-hospital mortality in patients with congestive heart failure (CHF) combined with chronic kidney disease (CKD). Methods: The patients' information was collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The association of the RAR and in-hospital mortality were assessed via logistic regression analysis with adjusting for different covariate, followed by visualization via the restricted cubic splines (RCS) analysis. Correlation analysis and machine learning algorithms were used to screen the clinical features associated with RAR. Mediation analysis was used to explore the function of RAR-related feature on their association. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) curves were used to explore the efficacy of RAR in predicting patient outcomes and the net clinical benefit, respectively. Results: A total of 1,243 patients were included in this study. Logistic regression analysis showed that RAR was a risk factor of in-hospital death. RCS showed a linear relationship between RAR and in-hospital mortality, which was not affected by confounding factors. Monocytes played a mediating role in the relationship between RAR and in-hospital mortality. RAR had a good efficacy and clinical net for predicting in-hospital mortality, half-year mortality, one-year mortality, and three-year mortality. Conclusions: We found that RAR was a risk factor for in-hospital death and could predict short-term and long-term outcomes in patients with CHF combined with CKD. Monocytes played a mediating role in their relationship.

Indexed as

blood cell distribution width-to-albumin ratiocongestive heart failure combined with chronic kidney diseasein-hospital mortalitymachine learning algorithmsmediation analysis

Identifiers

PMID40687564
PMCPMC12271087

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