Protocol detail

Cardiovascular Disease in Young Adults: A Cohort Study

Find Similar Protocols

This cohort study analyzed data from the Cardiorenal Improvement II (CIN-II) study, which is a multi-center cohort study with patients enrolled at five large tertiary hospitals (Cardiorenal Improvement II, ClinicalTrials.gov NCT05050877) in China. A total of 145,267 patients undergoing CAG from January 2007 to December 2020 were enrolled. We included patients of young age (men < 45, women < 55; n = 15,358). Patients with missing data on glycosylated hemoglobin (HbA1c) level (n = 5,904), or follow-up information (n = 96), with scheduled cardiac surgery (n = 490) were excluded. Eventually, 8868 patients undergoing CAG were enrolled (Fig. 1). The study was approved by the ethics committee of the participant hospital and complied with the Declaration of Helsinki.Fig. 1

Flowchart of the study

Free full text: Click here

He Y., Lu H., Ling Y., Liu J., Yu S., Zhou Z., Chang T., Liu Y., Chen S, & Chen J. (2023). Prediabetes and all-cause mortality in young patients undergoing coronary artery angiography: a multicenter cohort study in China. Cardiovascular Diabetology, 22, 42.

Publication 2023

A 145 Cardiac surgery Glycosylated hemoglobin Hospital ethics committee Patients Women

Top 5 similar protocols

Variable analysis

independent variables

Age (young men < 45, young women < 55)

dependent variables

Outcomes of patients undergoing CAG

control variables

Patients with missing data on glycosylated hemoglobin (HbA1c) level
Patients with missing follow-up information
Patients with scheduled cardiac surgery

controls

Positive controls: Not explicitly mentioned.
Negative controls: Not explicitly mentioned.

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!