ArticleInternational journal of general medicine2025
Establishment and Evaluation of a Risk Prediction Model for Abnormal Circadian Rhythm of Blood Pressure in Young Hypertensive Patients.
Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Sigma-1 Receptor Ligands for CNS Cancer Treatment.CNS drugs · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to develop and validate a simple and clinically applicable nomogram to predict abnormal circadian blood pressure rhythm in young hypertensive patients, enabling early detection and intervention. Methods: A total of 211 young hypertensive patients were enrolled between January 2023 and June 2024, with an additional 203 patients from other hospitals included for external validation. Patients were categorized into dipper and non-dipper groups based on 24-hour ambulatory blood pressure monitoring. Independent risk factors for abnormal circadian blood pressure rhythms were identified using multivariate logistic regression analysis, which was subsequently used to construct and externally validate a nomogram model. Results: Univariate analysis revealed significant differences (P<0.05) in the lymphocyte-to-monocyte ratio (LMR), systemic inflammatory response index (SIRI), systemic immune-inflammatory index (SII), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and uric acid (UA) between the dipper and non-dipper groups. Multivariate analysis identified decreased LMR, increased SIRI, elevated TG, and elevated UA as independent risk factors for abnormal circadian blood pressure rhythms in young hypertensive patients. The risk nomogram model was established based on the variables filtered by the multi-factor Logistic regression model. The evaluation results showed that the area under the curve (AUC) was 0.883. External validation showed an AUC of 0.844, with calibration confirming excellent predictive performance. Conclusion: LMR, SIRI, TG, and UA are independent predictors of abnormal circadian blood pressure rhythms in young hypertensive patients. The developed nomogram model is straightforward, rapid, and exhibits clinically relevant accuracy, providing valuable insights for clinical application.
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.