Evidence map›Paper›PMID 35834242›Full record

ArticleDiabetes care2022

Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2 Diabetes: Findings From the ACCORD Cohort.

Liyao Fu, Shi Tai, Jiaxing Sun, Ningjie Zhang, Ying Zhou, Zhenhua Xing, Yongjun Wang, Shenghua Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 73 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Liyao FuDepartment of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Shi TaiDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-5802-2910
Jiaxing SunDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha, China.
Ningjie ZhangDepartment of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Ying ZhouDepartment of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Zhenhua XingDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-0036-0420
Yongjun WangDepartment of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Shenghua ZhouDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRemnant cholesterol (remnant-C) predicts atherosclerotic cardiovascular disease, regardless of LDL-cholesterol (LDL-C) levels. This study assessed the associations between remnant-C and cardiovascular outcomes in type 2 diabetes. RESEARCH DESIGN AND

methodsThis post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial used patient (type 2 diabetes >3 months) remnant-C and major adverse cardiovascular event (MACE) data from the study database. The associations between remnant-C and MACEs were evaluated using Cox proportional hazards regression analyses. We examined the relative MACE risk in remnant-C versus LDL-C discordant/concordant groups using clinically relevant LDL-C targets by discordance analyses.

resultsThe baseline analysis included 10,196 participants, with further visit-to-visit variability analysis including 9,650 participants. During follow-up (median, 8.8 years), 1,815 patients (17.8%) developed MACEs. After adjusting for traditional cardiovascular risk factors, each 1-SD increase in remnant-C was associated with a 7% higher MACE risk (hazard ratio [HR] 1.07, 95% CI 1.02-1.12, P = 0.004). In the fully adjusted model, the visit-to-visit remnant-C variability calculated using logSD (HR 1.41, 95% CI 1.18-1.69, P < 0.001) and logARV (HR 1.45, 95% CI 1.22-1.73, P < 0.001) was associated with MACEs. Residual lipid risk (remnant-C ≥31 mg/dL) recognized individuals at a higher MACE risk, regardless of LDL-C concentrations. Within each LDL-C subgroup (>100 or ≤100 mg/dL), high baseline remnant-C was associated with a higher MACE risk (HR 1.37, 95% CI 1.09-1.73, P = 0.007; HR 1.22, 95% CI 1.04-1.41, P = 0.015, respectively).

conclusionsRemnant-C levels were associated with MACEs in patients with type 2 diabetes independent of LDL-C, and visit-to-visit remnant-C variability helped identify those with higher cardiovascular risk.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2CholesterolCholesterol, LDLHeart Disease Risk FactorsHumansRisk FactorsCholesterolCholesterol, LDL

Identifiers

PMID35834242
PMCPMC9472497
OpenAlexW4285389822

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.