Evidence map›Paper›PMID 40718380›Full record

SynthesisFrontiers in cardiovascular medicine2025

Comparative effectiveness of statins and exercise in high-risk individuals: systematic review and network meta-analysis.

Jia-Li Chen, Jin-Tao Zhang, Xue-Hui Li, Ruo-Shan Wu, Hong-Tao Ma

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jia-Li ChenSchool of Education, Beijing Sport University, Beijing, China.
Jin-Tao ZhangSchool of Education, Beijing Sport University, Beijing, China.
Xue-Hui LiSchool of Education, Beijing Sport University, Beijing, China.
Ruo-Shan WuSchool of Physical Education, Hunan University of Science and Technology, Xiangtan, China.
Hong-Tao MaSchool of Education, Beijing Sport University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Arterial stiffness (AS) predicts cardiovascular disease (CVD) risk and relates to multiple factors. But the best interventions for AS in high-risk CVD groups are unknown. This review focuses on how different interventions affect AS and related indicators. Methods: We searched MEDLINE (PubMed), Embase, Cochrane Library, EBSCO, and Web of Science for relevant studies. Inclusion criteria: (1) randomized controlled trials (RCT); (2) participants with CVD risk factors as per American College of Sports Medicine (ACSM) guidelines; (3) interventions including Whole-Body Vibration (WBV), statins (STA), interval training (INT), aerobic exercise (AE), resistance exercise (RT), and combined exercise (CT); (4) control groups with usual care or placebo; (5) outcomes of pulse wave velocity (PWV), systolic blood pressure (SBP), and diastolic blood pressure (DBP); (6) studies in English. Data were analyzed using a random effects network meta-analysis and assessed for bias using the Cochrane tool. Results: This meta-analysis of 58 studies ( Conclusions: For CVD high-risk populations, high doses of statins (hSTA) optimally reduces AS; WBV is the top non-drug AS intervention, while INT best improves both AS and BP short-term. Combined, these interventions significantly enhance outcomes. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=564538, PROSPERO CRD42024564538.

Indexed as

arterial stiffnessexercise interventionhigh-risk populations for cardiovascular diseasesnetwork meta-analysisstatinsWhole-Body vibration training

Identifiers

PMID40718380
PMCPMC12289655

What OpenQuestion holds

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Registered trials

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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.