Evidence map›Paper›PMID 39628286›Full record

Trial reportDiabetes, obesity & metabolism2025

The effect of HbA1c variability on the efficacy of intensive blood pressure control in patients with type 2 diabetes.

Xiaopu Wang, Junyu Pei, Keyang Zheng, Maojun Liu, Xinqun Hu

Erratum issuedAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Xiaopu WangLibin Cardiovascular Institute of Alberta, University of Calgary, Health Sciences Centre, Calgary, Alberta, Canada.
Junyu PeiDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-7667-885X
Keyang ZhengDepartment of Cardiovascular Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Maojun LiuDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0005-5262-8662
Xinqun HuDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-1430-4833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe efficacy of intensive blood pressure (BP) control remains controversial, and the variability of HbA1c was a risk factor for macrovascular events in patients with type 2 diabetes. We investigated whether the HbA1c variability modifies the efficacy of intensive BP control.

methodsData from the Action to Control Cardiovascular Risk in Diabetes Blood Pressure (ACCORD-BP) trial was utilized. K-means clustering was used to cluster patients into three groups based on the HbA1c variability score and baseline HbA1c values. Cox proportional hazard models and generalized linear models were used to measure the subgroup differences in intensive BP control treatment effects. The primary outcome was a composite of nonfatal myocardial infarction (MI), stroke, or death from cardiovascular causes.

resultsIn patients with low HbA1c variability rather than medium or high HbA1c variability, intensive BP control reduced the risk of the primary outcome on a relative scale (HR 0.60, 95%CI 0.40-0.90, p interaction was 0.03), non-fatal MI (HR 0.61, 95% CI 0.37-1.00, p interaction was 0.04) and stroke (HR 0.19, 95%CI 0.05-0.64, p interaction was 0.02) or absolute scale. Regardless of the variability group, intensive BP control did not reduce the risk of cardiovascular or all-cause mortality (p interaction >0.05) both on relative and absolute risk scales.

conclusionHbA1c variability had effect on the efficacy of intensive BP control and intensive BP control brought a significant macrovascular benefit in patients with type 2 diabetes and low HbA1c variability.

Indexed as

Antihypertensive AgentsCardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic AngiopathiesGlycated HemoglobinHypertensionAgedBlood PressureFemaleHumansMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsRisk FactorsStrokeAntihypertensive AgentsGlycated Hemoglobinhemoglobin A1c protein, humanHbA1c variabilityintensive blood pressure controlmachine learning algorithmsmacrovascular outcomesstroke

Identifiers

PMID39628286
PMCPMC11802401

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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.