Evidence map›Paper›PMID 41408264›Full record

Trial reportNutrition journal2025

Associations and predictive value of weight-adjusted waist index for cardiovascular outcomes in type 2 diabetes: evidence from the ACCORD study.

Maojun Liu, Junyu Pei, Cheng Zeng, Ying Xin, Peiqi Tang, Xinqun Hu

Registry-linked trialAbstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT00000620. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

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.

NCT00000620 phase3completed

Action to Control Cardiovascular Risk in Diabetes (ACCORD)

Ran1999Enrolled10,251Registered outcomes6Posted comparisons6ConditionsAtherosclerosis, Cardiovascular Diseases, Coronary Disease, Diabetes MellitusArmsAnti-hyperglycemic Agents, Anti-hypertensive Agents, Blinded fenofibrate or placebo plus simvastatin
Open the trial in the graph
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Maojun LiuDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Junyu PeiDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Cheng ZengDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Ying XinDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Peiqi TangDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Xinqun HuDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China. huxinqun@csu.edu.cn.ORCID http://orcid.org/0000-0003-1430-4833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to investigate the association between the weight-adjusted waist circumference index (WWI) and cardiovascular outcomes in patients with T2DM.

methodsUsing Cox proportional hazards regression models to determine the impact of WWI on cardiovascular event. Nonlinear associations were explored through restricted cubic splines (RCS) and smooth curve fitting (SCF), and the integrity of these findings was supported by subgroup and sensitivity analyses.

resultsAn elevation in WWI was linked to a significant rise in the likelihood of major adverse cardiovascular events (MACEs), composite cardiovascular outcomes MSD, including myocardial infarction, stroke, and any death, congestive heart failure (CHF), and total mortality (TM). An increase of per 1 standard deviations (SD) in WWI corresponded to a 7% heightened risk of MACEs (HR: 1.07, 95% CI: 1.02, 1.13), a 9% greater risk of MSD (HR: 1.09, 95% CI: 1.04, 1.13), a 20% greater risk of CHF (HR: 1.20, 95% CI: 1.10, 1.30), and a 11% increase in TM (HR: 1.11, 95% CI: 1.06, 1.17). RCS and SCF analysis revealed a nonlinear correlation between WWI and the risks of CHF and TM. Subgroup analyses demonstrated that WWI more accurately predicted CHF risk in patients whose duration of diabetes was under 10 years. Sensitivity analyses reinforced the reliability of these results.The integration of WWI into conventional predictive models improved the accuracy of these outcomes.

conclusionsWWI is closely associated with future cardiovascular outcomes and TM in patients with T2DM.WWI serves as an autonomous predictor of both future cardiovascular events and TM among patients with T2DM, outperforming traditional obesity indices in predictive ability. CLINICAL TRIAL URLS: https://clinicaltrials.gov/ct2/show/NCT00000620.

Indexed as

Body WeightCardiovascular DiseasesDiabetes Mellitus, Type 2Waist CircumferenceAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRisk FactorsAction to control cardiovascular risk in diabetesCardiovascular outcomesType 2 diabetes mellitusWeight-adjusted waist index

Identifiers

PMID41408264
PMCPMC12709832

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.