Evidence map›Paper›PMID 39660340›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Association Between the Trajectories of the Atherogenic Index of Plasma and Prediabetes Progression to Diabetes: A Retrospective Cohort Study.

XiXuan Cai, MingYing Xu, JieRu Chen, YueChun Mao, JingYu Hu, LuSha Li, JianJiang Pan, MengQi Jin, LiYing Chen

Abstract read
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

9 authors.

XiXuan CaiDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
MingYing XuDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.ORCID 0009-0007-6129-0223
JieRu ChenDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
YueChun MaoDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
JingYu HuDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
LuSha LiDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
JianJiang PanDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
MengQi JinDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.
LiYing ChenDepartment of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to analyze baseline profiles and longitudinal changes in Atherogenic Index of Plasma (AIP) among individuals with prediabetes to identify distinct AIP trajectories and assess their significance in predicting diabetes onset. Methods: This retrospective cohort study analyzed data from 8346 participants who underwent multiple general health checks. Utilizing latent class trajectory modeling and Cox proportional hazards analyses, it examined the association between the AIP index and health outcomes. Results: Over about 2 years, 2897 people progressed from prediabetes to diabetes. Individuals in the highest quartile of AIP had a higher diabetes risk compared to the lowest quartile (HR = 1.138, 95% CI1.013-1.278). Trajectory analysis revealed three groups: low-stable, moderate-stable, and high-stable, based on AIP index. The moderate-stable group showed a 1.117-fold risk of diabetes progression (95% CI1.026-1.217), while the high-stable group had an elevated risk (HR = 1.224, 95% CI1.059-1.415). Conclusion: The study highlights a clear association between higher AIP index levels at baseline and an increased risk of diabetes progression. It underscores the significance of utilizing the AIP index as a predictive tool to identify those at risk, emphasizing the need for targeted preventive measures in managing diabetes progression.

Indexed as

atherogenic index of plasmadiabetesprediabetes progressionretrospective cohort study

Identifiers

PMID39660340
PMCPMC11629674

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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.