ArticleThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2026
Construction and verification of a diagnostic nomogram for heart failure in hypertrophic cardiomyopathy based on conventional clinical indicators: a case-control study.
Article in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart failure (HF) manifests variably in patients with hypertrophic cardiomyopathy (HCM). This study developed and validated a diagnostic nomogram that uses routine clinical indicators to identify HF in individuals with HCM. Independent diagnostic indicators of HF in patients with HCM included B-type natriuretic peptide (BNP) (OR = 1.003, P < 0.001), diuretics (OR = 3.69, P = 0.014), and myocardial ischemia (OR = 4.99, P = 0.002). The diagnostic model demonstrated robust performance in both the training set and the validation set, yielding AUCs of 0.917 (95% CI: 0.879-0.955) and 0.929 (95% CI: 0.873-0.984), respectively. At an optimal threshold of 0.157, the training set exhibited sensitivity and specificity of 89.1% and 79.9%, respectively, while the validation set showed sensitivity and specificity of 90.9% and 82.9%, respectively. The calibration curve indicated a good fit, and DCA revealed that the model provided a net clinical benefit. In this study, the developed nomogram model accurately identifies HF in patients with HCM, aiding in diagnostic stratification and personalized management.Clinical Trial Registration This study was registered retrospectively at the Chinese Clinical Trial Registry ( http://www.chictr.org.cn/ ), registration number ChiCTR2500106648 (Registration Date: 2025-07-28).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.