Evidence map›Paper›PMID 40832146›Full record

ArticleFrontiers in cardiovascular medicine2025

Impact of chest computed tomography-determined low skeletal muscle mass on the survival of patients with acute heart failure.

Yan Huang, Yiming Wang, Junfang Guo, Ping Fang, Biao Kong, Zilan Wang, Junbo Zuo

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 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

7 authors.

Yan Huang *Department of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Yiming Wang *Department of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Junfang GuoDepartment of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ping FangDepartment of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Biao KongDepartment of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Zilan WangDepartment of Cardiology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Junbo ZuoDepartment of Clinical Nutrition, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography (CT)-determined low skeletal muscle mass (SMM) has been reported to be associated with poor clinical outcomes in various diseases; however, limited information is available regarding patients with heart failure (HF). Our research aimed to investigate the prognostic significance of low SMM assessed by chest CT scans in hospitalized patients with acute heart failure (AHF). Methods: Skeletal muscle index (SMI) was assessed using chest CT scans at the twelfth thoracic vertebra (T12) level, and sex-specific optimal cutoff values for T12 SMI were determined using the X-tile program based on all-cause mortality. The outcomes of this study were all-cause death and cardiovascular death. Cox proportional hazards models were employed to identify the risk factors for mortality. Results: This study enrolled 305 inpatients with AHF (62.3% males). According to the optimum cutoff value (31.9 cm Conclusions: Chest CT-determined low SMM has the potential to serve as a valuable imaging prognostic indicator for predicting adverse outcomes in AHF patients.

Indexed as

acute heart failurecomputed tomographyprognosisskeletal muscle indexskeletal muscle mass

Identifiers

PMID40832146
PMCPMC12358454

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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.