Evidence map›Paper›PMID 41953665›Full record

ArticleFrontiers in cardiovascular medicine2026

Development and validation of a nomogram for predicting 1-year mortality in infective endocarditis patients.

Zhaojun Yu, Zejing Lin, Changyi Jiang, Hui Jiang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zhaojun YuShengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Zejing LinShengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Changyi JiangThe First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Hui JiangShengli Clinical Medical College of Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Infective endocarditis (IE) is a serious cardiovascular infectious disease with persistently high mortality rates. Accurate prediction of long-term prognosis is crucial for developing individualized treatment strategies. Methods: We retrospectively analyzed clinical data from 383 patients with confirmed IE, randomly divided into training ( Results: Multivariate analysis identified five independent prognostic factors: age (HR = 1.018, 95% CI: 1.004-1.033, Conclusions: The nomogram model developed in this study accurately predicts 1-year mortality risk in IE patients with excellent discrimination and calibration, providing a powerful tool for clinical risk stratification and treatment decision-making.

Indexed as

Cox regressioninfective endocarditismortalitynomogramrisk prediction

Identifiers

PMID41953665
PMCPMC13053318

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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.