PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
October 11, 2025Open Access

Estimating the Predictive Value of the Cardiovascular Disease Risk Model “Score” Among the Kazakh People

View Full Paper
Ask AI
Bookmark
Share

Authors

YSYerbolat Saruarov

Discussion

Loading...

Member takes

Overview

Cohort study explores SCORE model's accuracy in predicting cardiovascular disease risk in Kazakhstan, highlighting improved detection methods.

Key Points

  • AUC of the SCORE model improved from 0.88 in 2012 to 0.92 in 2020, indicating better predictive capability.
  • The study analyzed 660 patients over an 8-year period, emphasizing the importance of early detection of cardiovascular disease risk.
  • Pearson correlation rates ranged around 0.996, supporting the reliability of SCORE in assessing risk factors among the population.
  • The proportion of individuals identified as high-risk for CVD increased from 2.5% to 4.4% between 2012 and 2020, emphasizing rising prevalence.

Cite This Study

Yerbolat Saruarov (2025) studied this question.

synapsesocial.com/papers/68e9b1c1ba7d64b6fc1322fehttps://doi.org/10.47526/yjohs-2025.1-11
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Conducting a Screening Study Using the SCORE Cardiovascular Disease Risk Assessment Model and Discussion of the SCORE Model in Light of the Results2025
  2. 2Using SCORE2 with a risk chart or online calculator: impact on model performance, treatment eligibility, and cardiovascular disease prevention2025 · 5 citations
  3. 3Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study2025
  4. 4SCORE2 Outperforms Pol-SCORE in Detecting Increased Cardiovascular Risk2025
  5. 5External Validation of a Risk Prediction Model for Atherosclerotic Cardiovascular Diseases in a Large National Health‐Checkup and Claim Database2025